Professional Technology Integration, Inc.
Richmond, Virginia
Position: SQL DBA (Ref: 18174) Location: Richmond, VA United States, 23219 Salary: $65.92/hr. Duration: 6 Months 16 Days - Contract Openings: 1 Deadline: 03/18/2026 Description: Local Candidates Hybrid onsite 2-3 days/week We are seeking a Database Administrator / Data Engineer with strong experience in migrating on-premises databases to AWS. The candidate will support data platform modernization by assisting with database migration, Python-based data processing, and building AWS data pipelines supporting applications using Amazon RDS and DynamoDB. Responsibilities Supporting SQL Server/Cloud BAU operations. supports production stability and performance monitoring by building operational metrics and dashboards for database performance. Develop data quality and performance dashboards to monitor system efficiency and ensure reliable data for reporting and analytics. The role requires hands-on experience in database migration, data modeling, and AWS data services. Support migration of on-prem databases to AWS Develop Python scripts for data generation and bulk loads Build and maintain AWS-based data pipelines Design and support data models Support application teams using RDS and DynamoDB Assist with data validation, migration testing, and performance tuning On-Prem SQL server to AWS and snowflake source Data Migration experience Experience migration/archiving databases from on-premises environments to AWS Experience with AWS Database Migration Service (DMS) or similar tools preferred AWS Database Technologies Strong experience with: Amazon RDS DynamoDB Python for Data Processing Experience developing Python scripts for data creation, transformation, and data loads Data Pipeline Development Experience building AWS-based data pipelines Familiarity with services such as: S3, Glue, Lambda Data Modeling Experience designing logical and physical data models Ability to support application teams with schema design Preferred Skills Experience with AWS Schema Conversion Tool (SCT)and data migration service (DMS) Experience working with large datasets and ETL pipelines Knowledge of data lake architecture Experience with PostgreSQL, SQL Server, Dynamo Db Experience supporting application data environments 5+ years in Database Administration, Data Engineering, or similar role 3+ years of AWS and Snowflake experience Required / Desired Skills On-Prem SQL server to AWS and snowflake source Data Migration experience Required - 5 Years Experience migration/archiving databases from on-premises environments to AWS Required - 5 Years Experience with Schema Conversion Tool (SCT) and AWS Database Migration Service (DMS) or similar tools Required - 5 Years Experience developing Python scripts for data creation, transformation, and data loads Required - 5 Years Experience building AWS-based data pipelines using s3, Glue, Lambda Required - 5 Years Experience supporting application data environments, Experience with PostgreSQL, SQL Server, Dynamo DB Required - 5 Years Hands-on experience in using AWS DB services including S3, RDS, Postgres, DynamoDB, and Snowflake. Required - 5 Years Core experience of configuring data management practices on AWS using native services such as AWS Glue, AWS Data Zone, AWS Glue Data Catalog, API Gateway Required - 5 Years Familiarity with version control using tools like GitHub, and AWS Code Pipeline Required - 5 Years Database Administration, Data Engineering, or similar role (AWS, Snowflake) and Sql server Required - 5 Years
03/17/2026
Position: SQL DBA (Ref: 18174) Location: Richmond, VA United States, 23219 Salary: $65.92/hr. Duration: 6 Months 16 Days - Contract Openings: 1 Deadline: 03/18/2026 Description: Local Candidates Hybrid onsite 2-3 days/week We are seeking a Database Administrator / Data Engineer with strong experience in migrating on-premises databases to AWS. The candidate will support data platform modernization by assisting with database migration, Python-based data processing, and building AWS data pipelines supporting applications using Amazon RDS and DynamoDB. Responsibilities Supporting SQL Server/Cloud BAU operations. supports production stability and performance monitoring by building operational metrics and dashboards for database performance. Develop data quality and performance dashboards to monitor system efficiency and ensure reliable data for reporting and analytics. The role requires hands-on experience in database migration, data modeling, and AWS data services. Support migration of on-prem databases to AWS Develop Python scripts for data generation and bulk loads Build and maintain AWS-based data pipelines Design and support data models Support application teams using RDS and DynamoDB Assist with data validation, migration testing, and performance tuning On-Prem SQL server to AWS and snowflake source Data Migration experience Experience migration/archiving databases from on-premises environments to AWS Experience with AWS Database Migration Service (DMS) or similar tools preferred AWS Database Technologies Strong experience with: Amazon RDS DynamoDB Python for Data Processing Experience developing Python scripts for data creation, transformation, and data loads Data Pipeline Development Experience building AWS-based data pipelines Familiarity with services such as: S3, Glue, Lambda Data Modeling Experience designing logical and physical data models Ability to support application teams with schema design Preferred Skills Experience with AWS Schema Conversion Tool (SCT)and data migration service (DMS) Experience working with large datasets and ETL pipelines Knowledge of data lake architecture Experience with PostgreSQL, SQL Server, Dynamo Db Experience supporting application data environments 5+ years in Database Administration, Data Engineering, or similar role 3+ years of AWS and Snowflake experience Required / Desired Skills On-Prem SQL server to AWS and snowflake source Data Migration experience Required - 5 Years Experience migration/archiving databases from on-premises environments to AWS Required - 5 Years Experience with Schema Conversion Tool (SCT) and AWS Database Migration Service (DMS) or similar tools Required - 5 Years Experience developing Python scripts for data creation, transformation, and data loads Required - 5 Years Experience building AWS-based data pipelines using s3, Glue, Lambda Required - 5 Years Experience supporting application data environments, Experience with PostgreSQL, SQL Server, Dynamo DB Required - 5 Years Hands-on experience in using AWS DB services including S3, RDS, Postgres, DynamoDB, and Snowflake. Required - 5 Years Core experience of configuring data management practices on AWS using native services such as AWS Glue, AWS Data Zone, AWS Glue Data Catalog, API Gateway Required - 5 Years Familiarity with version control using tools like GitHub, and AWS Code Pipeline Required - 5 Years Database Administration, Data Engineering, or similar role (AWS, Snowflake) and Sql server Required - 5 Years
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Work on data driven strategies to apply AI and ML to novel drug discovery, at the forefront of biotech innovation. This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $140,000 - $180,000 per year A bit about us: Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, this organization has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. The organization partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. Why join us? You'll play a central role in shaping the company's data platform by contributing to ingestion frameworks, orchestration patterns (using Dagster or alternatives like Prefect or Airflow), and dbt-based modeling strategies. This is a high-impact role for an experienced engineer who loves building clean pipelines, understands metadata and observability, and enjoys making data discoverable and trustworthy for analytics, operations, and product use cases. Competitive salary and total compensation ranges based on experience Work on site in NYC or Boston, or up to 100% from home anywhere in the US. Comprehensive health, vision, and dental coverage for individuals and families Job Details Job Details: We are seeking a passionate and talented Senior Data Engineer to join our dynamic team in the scientific industry. The ideal candidate will have a strong background in data engineering and a deep understanding of modern data processing technology stacks. The successful candidate will be responsible for the design, development, testing, and deployment of highly scalable data management systems. This role requires a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The individual in this role must be comfortable working in a fast-paced and dynamic environment with a high degree of autonomy. Responsibilities: 1. Design, construct, install, test, and maintain highly scalable data management systems. 2. Ensure systems meet business requirements and industry practices. 3. Build high-performance algorithms, prototypes, predictive models, and proof of concepts. 4. Research opportunities for data acquisition and new uses for existing data. 5. Develop data set processes for data modeling, mining, and production. 6. Integrate new data management technologies and software engineering tools into existing structures. 7. Create custom software components and analytics applications. 8. Install and update disaster recovery procedures. 9. Collaborate with data architects, modelers, and IT team members on project goals. 10. Employ a variety of languages and tools to marry systems together. 11. Recommend ways to improve data reliability, efficiency, and quality. 12. Use Dagster or equivalent for creating data pipelines and workflows. Qualifications: ? 5+ years of experience in data engineering or related fields. ? Strong hands-on experience with Python, SQL, and dbt. ? Proficiency with orchestration tools like Dagster, Prefect, or Airflow. ? Experience building data ingestion pipelines from REST APIs, flat files, and cloud storage (e.g., S3). ? Familiarity with Snowflake and its ecosystem-warehouses, cost optimization, RBAC, data sharing. ? Clear understanding of metadata, observability, and testing for data pipelines. ? You enjoy partnering with stakeholders and understand the importance of clean, discoverable data. ? Bonus: experience working in pharma, healthcare, or regulated data environments. ? Bonus: experience working with unstructured data and AI Data Engineering (OCR, NER, vector databases, graph databases) Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Work on data driven strategies to apply AI and ML to novel drug discovery, at the forefront of biotech innovation. This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $140,000 - $180,000 per year A bit about us: Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, this organization has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. The organization partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. Why join us? You'll play a central role in shaping the company's data platform by contributing to ingestion frameworks, orchestration patterns (using Dagster or alternatives like Prefect or Airflow), and dbt-based modeling strategies. This is a high-impact role for an experienced engineer who loves building clean pipelines, understands metadata and observability, and enjoys making data discoverable and trustworthy for analytics, operations, and product use cases. Competitive salary and total compensation ranges based on experience Work on site in NYC or Boston, or up to 100% from home anywhere in the US. Comprehensive health, vision, and dental coverage for individuals and families Job Details Job Details: We are seeking a passionate and talented Senior Data Engineer to join our dynamic team in the scientific industry. The ideal candidate will have a strong background in data engineering and a deep understanding of modern data processing technology stacks. The successful candidate will be responsible for the design, development, testing, and deployment of highly scalable data management systems. This role requires a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The individual in this role must be comfortable working in a fast-paced and dynamic environment with a high degree of autonomy. Responsibilities: 1. Design, construct, install, test, and maintain highly scalable data management systems. 2. Ensure systems meet business requirements and industry practices. 3. Build high-performance algorithms, prototypes, predictive models, and proof of concepts. 4. Research opportunities for data acquisition and new uses for existing data. 5. Develop data set processes for data modeling, mining, and production. 6. Integrate new data management technologies and software engineering tools into existing structures. 7. Create custom software components and analytics applications. 8. Install and update disaster recovery procedures. 9. Collaborate with data architects, modelers, and IT team members on project goals. 10. Employ a variety of languages and tools to marry systems together. 11. Recommend ways to improve data reliability, efficiency, and quality. 12. Use Dagster or equivalent for creating data pipelines and workflows. Qualifications: ? 5+ years of experience in data engineering or related fields. ? Strong hands-on experience with Python, SQL, and dbt. ? Proficiency with orchestration tools like Dagster, Prefect, or Airflow. ? Experience building data ingestion pipelines from REST APIs, flat files, and cloud storage (e.g., S3). ? Familiarity with Snowflake and its ecosystem-warehouses, cost optimization, RBAC, data sharing. ? Clear understanding of metadata, observability, and testing for data pipelines. ? You enjoy partnering with stakeholders and understand the importance of clean, discoverable data. ? Bonus: experience working in pharma, healthcare, or regulated data environments. ? Bonus: experience working with unstructured data and AI Data Engineering (OCR, NER, vector databases, graph databases) Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Opportunity to join the industries top AI Consulting firm Working with the world's top brands to execute data initiatives in artificial intelligence FULLY REMOTE This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $185,000 per year A bit about us: We are seeking a dynamic and experienced Senior Machine Learning (ML) Solution Architect to join our team. This is a unique opportunity to shape the future of our ML applications and contribute to the development of our technology stack. The successful candidate will be responsible for designing, implementing, and maintaining ML solutions that will have a direct impact on our business and customers. This is a permanent position that offers a challenging and rewarding work environment, where innovation and initiative are highly valued. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design and build robust and scalable ML solutions to meet business requirements. Work closely with data scientists and engineers to implement and deploy scalable ML solutions into production. Develop and maintain data pipelines for large scale data processing. Use tools such as Spark, Snowflake, Python, and Scala to handle data extraction, cleaning, and transformation. Implement best practices for ML development, including testing, documentation, and version control. Collaborate with cross-functional teams to understand their needs and translate them into ML solutions. Provide consulting services to internal and external stakeholders on ML best practices and solutions. Use Terraform, Docker, and other tools to manage infrastructure and deploy ML models. Implement and manage CI/CD pipelines for ML solutions. Stay up-to-date with the latest developments in the field of ML and introduce new technologies and methodologies as appropriate. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Minimum 5 years of experience in designing and implementing ML solutions. Strong programming skills in Python and Scala. Experience with data pipeline tools such as Spark and Snowflake. Proven experience in consulting, with excellent communication and problem-solving skills. Experience with infrastructure management tools such as Terraform and Docker. Experience in setting up and managing CI/CD pipelines. Strong understanding of ML algorithms and principles, as well as the ability to apply them in real-world situations. Excellent analytical and problem-solving skills, with the ability to handle complex data and ML challenges. Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders. Self-motivated and proactive, with the ability to work independently and as part of a team. Strong desire to learn and stay updated with the latest advancements in the field of ML. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Opportunity to join the industries top AI Consulting firm Working with the world's top brands to execute data initiatives in artificial intelligence FULLY REMOTE This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $185,000 per year A bit about us: We are seeking a dynamic and experienced Senior Machine Learning (ML) Solution Architect to join our team. This is a unique opportunity to shape the future of our ML applications and contribute to the development of our technology stack. The successful candidate will be responsible for designing, implementing, and maintaining ML solutions that will have a direct impact on our business and customers. This is a permanent position that offers a challenging and rewarding work environment, where innovation and initiative are highly valued. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design and build robust and scalable ML solutions to meet business requirements. Work closely with data scientists and engineers to implement and deploy scalable ML solutions into production. Develop and maintain data pipelines for large scale data processing. Use tools such as Spark, Snowflake, Python, and Scala to handle data extraction, cleaning, and transformation. Implement best practices for ML development, including testing, documentation, and version control. Collaborate with cross-functional teams to understand their needs and translate them into ML solutions. Provide consulting services to internal and external stakeholders on ML best practices and solutions. Use Terraform, Docker, and other tools to manage infrastructure and deploy ML models. Implement and manage CI/CD pipelines for ML solutions. Stay up-to-date with the latest developments in the field of ML and introduce new technologies and methodologies as appropriate. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Minimum 5 years of experience in designing and implementing ML solutions. Strong programming skills in Python and Scala. Experience with data pipeline tools such as Spark and Snowflake. Proven experience in consulting, with excellent communication and problem-solving skills. Experience with infrastructure management tools such as Terraform and Docker. Experience in setting up and managing CI/CD pipelines. Strong understanding of ML algorithms and principles, as well as the ability to apply them in real-world situations. Excellent analytical and problem-solving skills, with the ability to handle complex data and ML challenges. Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders. Self-motivated and proactive, with the ability to work independently and as part of a team. Strong desire to learn and stay updated with the latest advancements in the field of ML. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $190,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Evaluate and deploy platform features, services, and enhancements to align with customer business goals. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Consulting experience working directly with external clients. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $190,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Evaluate and deploy platform features, services, and enhancements to align with customer business goals. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Consulting experience working directly with external clients. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $190,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Evaluate and deploy platform features, services, and enhancements to align with customer business goals. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Consulting experience working directly with external clients. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $190,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Evaluate and deploy platform features, services, and enhancements to align with customer business goals. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Consulting experience working directly with external clients. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $190,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Evaluate and deploy platform features, services, and enhancements to align with customer business goals. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Consulting experience working directly with external clients. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $190,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Evaluate and deploy platform features, services, and enhancements to align with customer business goals. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Consulting experience working directly with external clients. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $190,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Evaluate and deploy platform features, services, and enhancements to align with customer business goals. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Consulting experience working directly with external clients. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $190,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Evaluate and deploy platform features, services, and enhancements to align with customer business goals. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Consulting experience working directly with external clients. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $190,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Evaluate and deploy platform features, services, and enhancements to align with customer business goals. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Consulting experience working directly with external clients. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $190,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Evaluate and deploy platform features, services, and enhancements to align with customer business goals. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Consulting experience working directly with external clients. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $190,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Evaluate and deploy platform features, services, and enhancements to align with customer business goals. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Consulting experience working directly with external clients. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $190,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Evaluate and deploy platform features, services, and enhancements to align with customer business goals. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Consulting experience working directly with external clients. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $190,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Evaluate and deploy platform features, services, and enhancements to align with customer business goals. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Consulting experience working directly with external clients. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $190,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Evaluate and deploy platform features, services, and enhancements to align with customer business goals. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Consulting experience working directly with external clients. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $190,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Evaluate and deploy platform features, services, and enhancements to align with customer business goals. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Consulting experience working directly with external clients. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $190,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Evaluate and deploy platform features, services, and enhancements to align with customer business goals. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Consulting experience working directly with external clients. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $190,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Evaluate and deploy platform features, services, and enhancements to align with customer business goals. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Consulting experience working directly with external clients. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $190,000 per year A bit about us: We're a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live-helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You'll work with modern data stacks, cloud-native architectures, and high-scale environments-while partnering closely with engineering, platform, and business stakeholders. You'll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful-perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You'll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You'll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Evaluate and deploy platform features, services, and enhancements to align with customer business goals. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Consulting experience working directly with external clients. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing Data engineering solutions company! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: This is one of Jobot's best clients, and a company that has been growing by over 100% year over year for the last 7 years. They are continuing to grow! This company is focused on offering top tier consulting services to enterprise companies that are trying to better utilize their data. Why join us? Join us for the variety of work, the opportunity to interface with some of the top companies in the world, and ability to build creative solutions to challenging problems. Job Details Must be a talented data engineer! Ideally you come from some soft of consulting or client facing background, this may include internal customers! Hands on engineering experience a must. This includes the following: 1. Snowflake or Databricks engineering 2. Deep understanding of AWS or Azure or GCP 3. Code bases written in Python, Scala and or Java 4. Most important? Clear and concise communication skills, you must be able to sit in front of a client, and be engaging, and speak with non-technical stakeholders. This company will not be able to sponsor or transfer visas. If interested, please apply, or feel free to message directly. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Join the fastest growing Data engineering solutions company! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: This is one of Jobot's best clients, and a company that has been growing by over 100% year over year for the last 7 years. They are continuing to grow! This company is focused on offering top tier consulting services to enterprise companies that are trying to better utilize their data. Why join us? Join us for the variety of work, the opportunity to interface with some of the top companies in the world, and ability to build creative solutions to challenging problems. Job Details Must be a talented data engineer! Ideally you come from some soft of consulting or client facing background, this may include internal customers! Hands on engineering experience a must. This includes the following: 1. Snowflake or Databricks engineering 2. Deep understanding of AWS or Azure or GCP 3. Code bases written in Python, Scala and or Java 4. Most important? Clear and concise communication skills, you must be able to sit in front of a client, and be engaging, and speak with non-technical stakeholders. This company will not be able to sponsor or transfer visas. If interested, please apply, or feel free to message directly. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing Data engineering solutions company! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: This is one of Jobot's best clients, and a company that has been growing by over 100% year over year for the last 7 years. They are continuing to grow! This company is focused on offering top tier consulting services to enterprise companies that are trying to better utilize their data. Why join us? Join us for the variety of work, the opportunity to interface with some of the top companies in the world, and ability to build creative solutions to challenging problems. Job Details Must be a talented data engineer! Ideally you come from some soft of consulting or client facing background, this may include internal customers! Hands on engineering experience a must. This includes the following: 1. Snowflake or Databricks engineering 2. Deep understanding of AWS or Azure or GCP 3. Code bases written in Python, Scala and or Java 4. Most important? Clear and concise communication skills, you must be able to sit in front of a client, and be engaging, and speak with non-technical stakeholders. This company will not be able to sponsor or transfer visas. If interested, please apply, or feel free to message directly. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Join the fastest growing Data engineering solutions company! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: This is one of Jobot's best clients, and a company that has been growing by over 100% year over year for the last 7 years. They are continuing to grow! This company is focused on offering top tier consulting services to enterprise companies that are trying to better utilize their data. Why join us? Join us for the variety of work, the opportunity to interface with some of the top companies in the world, and ability to build creative solutions to challenging problems. Job Details Must be a talented data engineer! Ideally you come from some soft of consulting or client facing background, this may include internal customers! Hands on engineering experience a must. This includes the following: 1. Snowflake or Databricks engineering 2. Deep understanding of AWS or Azure or GCP 3. Code bases written in Python, Scala and or Java 4. Most important? Clear and concise communication skills, you must be able to sit in front of a client, and be engaging, and speak with non-technical stakeholders. This company will not be able to sponsor or transfer visas. If interested, please apply, or feel free to message directly. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing Data engineering solutions company! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: This is one of Jobot's best clients, and a company that has been growing by over 100% year over year for the last 7 years. They are continuing to grow! This company is focused on offering top tier consulting services to enterprise companies that are trying to better utilize their data. Why join us? Join us for the variety of work, the opportunity to interface with some of the top companies in the world, and ability to build creative solutions to challenging problems. Job Details Must be a talented data engineer! Ideally you come from some soft of consulting or client facing background, this may include internal customers! Hands on engineering experience a must. This includes the following: 1. Snowflake or Databricks engineering 2. Deep understanding of AWS or Azure or GCP 3. Code bases written in Python, Scala and or Java 4. Most important? Clear and concise communication skills, you must be able to sit in front of a client, and be engaging, and speak with non-technical stakeholders. This company will not be able to sponsor or transfer visas. If interested, please apply, or feel free to message directly. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Join the fastest growing Data engineering solutions company! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: This is one of Jobot's best clients, and a company that has been growing by over 100% year over year for the last 7 years. They are continuing to grow! This company is focused on offering top tier consulting services to enterprise companies that are trying to better utilize their data. Why join us? Join us for the variety of work, the opportunity to interface with some of the top companies in the world, and ability to build creative solutions to challenging problems. Job Details Must be a talented data engineer! Ideally you come from some soft of consulting or client facing background, this may include internal customers! Hands on engineering experience a must. This includes the following: 1. Snowflake or Databricks engineering 2. Deep understanding of AWS or Azure or GCP 3. Code bases written in Python, Scala and or Java 4. Most important? Clear and concise communication skills, you must be able to sit in front of a client, and be engaging, and speak with non-technical stakeholders. This company will not be able to sponsor or transfer visas. If interested, please apply, or feel free to message directly. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing Data engineering solutions company! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: This is one of Jobot's best clients, and a company that has been growing by over 100% year over year for the last 7 years. They are continuing to grow! This company is focused on offering top tier consulting services to enterprise companies that are trying to better utilize their data. Why join us? Join us for the variety of work, the opportunity to interface with some of the top companies in the world, and ability to build creative solutions to challenging problems. Job Details Must be a talented data engineer! Ideally you come from some soft of consulting or client facing background, this may include internal customers! Hands on engineering experience a must. This includes the following: 1. Snowflake or Databricks engineering 2. Deep understanding of AWS or Azure or GCP 3. Code bases written in Python, Scala and or Java 4. Most important? Clear and concise communication skills, you must be able to sit in front of a client, and be engaging, and speak with non-technical stakeholders. This company will not be able to sponsor or transfer visas. If interested, please apply, or feel free to message directly. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Join the fastest growing Data engineering solutions company! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: This is one of Jobot's best clients, and a company that has been growing by over 100% year over year for the last 7 years. They are continuing to grow! This company is focused on offering top tier consulting services to enterprise companies that are trying to better utilize their data. Why join us? Join us for the variety of work, the opportunity to interface with some of the top companies in the world, and ability to build creative solutions to challenging problems. Job Details Must be a talented data engineer! Ideally you come from some soft of consulting or client facing background, this may include internal customers! Hands on engineering experience a must. This includes the following: 1. Snowflake or Databricks engineering 2. Deep understanding of AWS or Azure or GCP 3. Code bases written in Python, Scala and or Java 4. Most important? Clear and concise communication skills, you must be able to sit in front of a client, and be engaging, and speak with non-technical stakeholders. This company will not be able to sponsor or transfer visas. If interested, please apply, or feel free to message directly. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing Data engineering solutions company! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: This is one of Jobot's best clients, and a company that has been growing by over 100% year over year for the last 7 years. They are continuing to grow! This company is focused on offering top tier consulting services to enterprise companies that are trying to better utilize their data. Why join us? Join us for the variety of work, the opportunity to interface with some of the top companies in the world, and ability to build creative solutions to challenging problems. Job Details Must be a talented data engineer! Ideally you come from some soft of consulting or client facing background, this may include internal customers! Hands on engineering experience a must. This includes the following: 1. Snowflake or Databricks engineering 2. Deep understanding of AWS or Azure or GCP 3. Code bases written in Python, Scala and or Java 4. Most important? Clear and concise communication skills, you must be able to sit in front of a client, and be engaging, and speak with non-technical stakeholders. This company will not be able to sponsor or transfer visas. If interested, please apply, or feel free to message directly. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Join the fastest growing Data engineering solutions company! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: This is one of Jobot's best clients, and a company that has been growing by over 100% year over year for the last 7 years. They are continuing to grow! This company is focused on offering top tier consulting services to enterprise companies that are trying to better utilize their data. Why join us? Join us for the variety of work, the opportunity to interface with some of the top companies in the world, and ability to build creative solutions to challenging problems. Job Details Must be a talented data engineer! Ideally you come from some soft of consulting or client facing background, this may include internal customers! Hands on engineering experience a must. This includes the following: 1. Snowflake or Databricks engineering 2. Deep understanding of AWS or Azure or GCP 3. Code bases written in Python, Scala and or Java 4. Most important? Clear and concise communication skills, you must be able to sit in front of a client, and be engaging, and speak with non-technical stakeholders. This company will not be able to sponsor or transfer visas. If interested, please apply, or feel free to message directly. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join the fastest growing Data engineering solutions company! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: This is one of Jobot's best clients, and a company that has been growing by over 100% year over year for the last 7 years. They are continuing to grow! This company is focused on offering top tier consulting services to enterprise companies that are trying to better utilize their data. Why join us? Join us for the variety of work, the opportunity to interface with some of the top companies in the world, and ability to build creative solutions to challenging problems. Job Details Must be a talented data engineer! Ideally you come from some soft of consulting or client facing background, this may include internal customers! Hands on engineering experience a must. This includes the following: 1. Snowflake or Databricks engineering 2. Deep understanding of AWS or Azure or GCP 3. Code bases written in Python, Scala and or Java 4. Most important? Clear and concise communication skills, you must be able to sit in front of a client, and be engaging, and speak with non-technical stakeholders. This company will not be able to sponsor or transfer visas. If interested, please apply, or feel free to message directly. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Join the fastest growing Data engineering solutions company! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: This is one of Jobot's best clients, and a company that has been growing by over 100% year over year for the last 7 years. They are continuing to grow! This company is focused on offering top tier consulting services to enterprise companies that are trying to better utilize their data. Why join us? Join us for the variety of work, the opportunity to interface with some of the top companies in the world, and ability to build creative solutions to challenging problems. Job Details Must be a talented data engineer! Ideally you come from some soft of consulting or client facing background, this may include internal customers! Hands on engineering experience a must. This includes the following: 1. Snowflake or Databricks engineering 2. Deep understanding of AWS or Azure or GCP 3. Code bases written in Python, Scala and or Java 4. Most important? Clear and concise communication skills, you must be able to sit in front of a client, and be engaging, and speak with non-technical stakeholders. This company will not be able to sponsor or transfer visas. If interested, please apply, or feel free to message directly. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/16/2026
Full time
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: