16 jobs found

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated SIEM & Security Data Staff Engineer, you will provide technical leadership for the organization's security logging, telemetry, and SIEM strategy, ensuring high-quality data is available to support monitoring, detection, and response activities. Partners with application owners, infrastructure teams, and security engineers to onboard new data sources, optimize data pipelines, and improve data quality, normalization, and parsing. Drives the evolution of security telemetry capabilities to enable advanced analytics, automation, threat hunting, and future-state security operations. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, or Colorado Springs, CO. Relocation assistance is not available for this position. What you'll do: Serves as a system engineer/solution architect, anticipates operational inefficiencies and potential security risks, and drives solutions architecture for large complex systems or networks, with a focus on managing vulnerabilities and reducing risk of system and/or asset compromises. Leads the design of scalable security solutions across multiple domains and portfolios including the creation and enforcement of implementation patterns and alignment with technical architecture. Drives solutions architecture for large complex information security solutions, with a focus on delivering on requirements, anticipating operational inefficiencies, and preventing potential security risks. Executes complex implementations serving as subject matter expert across multiple domains; Influencing service delivery and tooling efficacy at the portfolio level. Serves as a trusted advisor and leads cross-functional, matrixed delivery teams across a variety of technical domains to solve highly complex and high value Security related engineering problems and decrease the time to market of critical engineering decisions that impact the overall security posture and health of USAA. Analyzes trends, news and changes in threat and compliance environment with respect to organizational risk. Interfaces with auditors, external regulators and external suppliers (3rd/4th parties) to represent USAA in discussions regarding their specific security technical domains. Collaborates with and influences senior level executive leaders and architects on the most appropriate and feasible approach for managing security engineering-based risk and compliance issues. Owns security engineering decisions across USAA including identifying, planning, and applying advanced security solution concepts and principles. Builds prototypes and proofs of concept to demonstrate feasibility for new, emerging and innovative security technologies, and influences enterprise prioritization for implementation. Anticipates and translates business, security, engineering objectives into achievable controls, including developing and overseeing the technical implementation of those controls. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of relevant education and/or experience. 8 years' of related experience in Security Engineering and/or Information Technology in a large organization, major consulting firm, or US military. Expert level security consulting skills in delivering modern security infrastructure solutions new applications of technology and Information Technology business models in support of emerging workforce needs. Advanced knowledge of emerging and/or evolution of existing security technologies. Mastery of complex system and environment analysis, design, optimization, and hardening. Subject matter expert knowledge of Information Security and/or Cybersecurity theories, techniques and/or technologies. Exceptional relationship management building skills which include the ability to effectively collaborate, communicate and develop high trust relationships across all levels of an organization, to include senior level executive leaders. Extensive experience explaining and influencing complex technology decisions to both technical and nontechnical audiences at all levels in the organization and with cross functional and enterprise teams. What sets you apart: Deep expertise in SIEM platforms (e.g., Splunk, Microsoft Sentinel, Google SecOps, Elastic, QRadar) or leveraging a Datalake (Snowflake, Databricks) for security logging, with experience designing and optimizing large-scale security monitoring and analytics environments. Strong background in security telemetry engineering, including log collection, normalization, enrichment, parsing, and data quality management across cloud, on-premises, application, identity, and endpoint data sources. Experience building and maintaining scalable data pipelines using technologies such as Kafka, Cribl, Kinesis, Event Hubs, Data Lake architectures, cloud-native services, or similar high-volume data processing platforms. Advanced knowledge of security operations, threat detection engineering, threat hunting, incident response, and MITRE ATT&CK, with the ability to translate security use cases into actionable telemetry and detection requirements. Proficiency in scripting, automation, and data analysis using languages such as Python, PowerShell, SQL, or similar technologies to improve telemetry onboarding, validation, and operational efficiency. Demonstrated ability to lead cross-functional engineering initiatives, influence technical strategy, and partner with application, infrastructure, cloud, and security teams to drive enterprise-wide security data and observability capabilities. Compensation range: The salary range for this position is: $164,780.00 - $314,960.00. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated SIEM & Security Data Staff Engineer, you will provide technical leadership for the organization's security logging, telemetry, and SIEM strategy, ensuring high-quality data is available to support monitoring, detection, and response activities. Partners with application owners, infrastructure teams, and security engineers to onboard new data sources, optimize data pipelines, and improve data quality, normalization, and parsing. Drives the evolution of security telemetry capabilities to enable advanced analytics, automation, threat hunting, and future-state security operations. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, or Colorado Springs, CO. Relocation assistance is not available for this position. What you'll do: Serves as a system engineer/solution architect, anticipates operational inefficiencies and potential security risks, and drives solutions architecture for large complex systems or networks, with a focus on managing vulnerabilities and reducing risk of system and/or asset compromises. Leads the design of scalable security solutions across multiple domains and portfolios including the creation and enforcement of implementation patterns and alignment with technical architecture. Drives solutions architecture for large complex information security solutions, with a focus on delivering on requirements, anticipating operational inefficiencies, and preventing potential security risks. Executes complex implementations serving as subject matter expert across multiple domains; Influencing service delivery and tooling efficacy at the portfolio level. Serves as a trusted advisor and leads cross-functional, matrixed delivery teams across a variety of technical domains to solve highly complex and high value Security related engineering problems and decrease the time to market of critical engineering decisions that impact the overall security posture and health of USAA. Analyzes trends, news and changes in threat and compliance environment with respect to organizational risk. Interfaces with auditors, external regulators and external suppliers (3rd/4th parties) to represent USAA in discussions regarding their specific security technical domains. Collaborates with and influences senior level executive leaders and architects on the most appropriate and feasible approach for managing security engineering-based risk and compliance issues. Owns security engineering decisions across USAA including identifying, planning, and applying advanced security solution concepts and principles. Builds prototypes and proofs of concept to demonstrate feasibility for new, emerging and innovative security technologies, and influences enterprise prioritization for implementation. Anticipates and translates business, security, engineering objectives into achievable controls, including developing and overseeing the technical implementation of those controls. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of relevant education and/or experience. 8 years' of related experience in Security Engineering and/or Information Technology in a large organization, major consulting firm, or US military. Expert level security consulting skills in delivering modern security infrastructure solutions new applications of technology and Information Technology business models in support of emerging workforce needs. Advanced knowledge of emerging and/or evolution of existing security technologies. Mastery of complex system and environment analysis, design, optimization, and hardening. Subject matter expert knowledge of Information Security and/or Cybersecurity theories, techniques and/or technologies. Exceptional relationship management building skills which include the ability to effectively collaborate, communicate and develop high trust relationships across all levels of an organization, to include senior level executive leaders. Extensive experience explaining and influencing complex technology decisions to both technical and nontechnical audiences at all levels in the organization and with cross functional and enterprise teams. What sets you apart: Deep expertise in SIEM platforms (e.g., Splunk, Microsoft Sentinel, Google SecOps, Elastic, QRadar) or leveraging a Datalake (Snowflake, Databricks) for security logging, with experience designing and optimizing large-scale security monitoring and analytics environments. Strong background in security telemetry engineering, including log collection, normalization, enrichment, parsing, and data quality management across cloud, on-premises, application, identity, and endpoint data sources. Experience building and maintaining scalable data pipelines using technologies such as Kafka, Cribl, Kinesis, Event Hubs, Data Lake architectures, cloud-native services, or similar high-volume data processing platforms. Advanced knowledge of security operations, threat detection engineering, threat hunting, incident response, and MITRE ATT&CK, with the ability to translate security use cases into actionable telemetry and detection requirements. Proficiency in scripting, automation, and data analysis using languages such as Python, PowerShell, SQL, or similar technologies to improve telemetry onboarding, validation, and operational efficiency. Demonstrated ability to lead cross-functional engineering initiatives, influence technical strategy, and partner with application, infrastructure, cloud, and security teams to drive enterprise-wide security data and observability capabilities. Compensation range: The salary range for this position is: $164,780.00 - $314,960.00. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated SIEM & Security Data Staff Engineer, you will provide technical leadership for the organization's security logging, telemetry, and SIEM strategy, ensuring high-quality data is available to support monitoring, detection, and response activities. Partners with application owners, infrastructure teams, and security engineers to onboard new data sources, optimize data pipelines, and improve data quality, normalization, and parsing. Drives the evolution of security telemetry capabilities to enable advanced analytics, automation, threat hunting, and future-state security operations. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, or Colorado Springs, CO. Relocation assistance is not available for this position. What you'll do: Serves as a system engineer/solution architect, anticipates operational inefficiencies and potential security risks, and drives solutions architecture for large complex systems or networks, with a focus on managing vulnerabilities and reducing risk of system and/or asset compromises. Leads the design of scalable security solutions across multiple domains and portfolios including the creation and enforcement of implementation patterns and alignment with technical architecture. Drives solutions architecture for large complex information security solutions, with a focus on delivering on requirements, anticipating operational inefficiencies, and preventing potential security risks. Executes complex implementations serving as subject matter expert across multiple domains; Influencing service delivery and tooling efficacy at the portfolio level. Serves as a trusted advisor and leads cross-functional, matrixed delivery teams across a variety of technical domains to solve highly complex and high value Security related engineering problems and decrease the time to market of critical engineering decisions that impact the overall security posture and health of USAA. Analyzes trends, news and changes in threat and compliance environment with respect to organizational risk. Interfaces with auditors, external regulators and external suppliers (3rd/4th parties) to represent USAA in discussions regarding their specific security technical domains. Collaborates with and influences senior level executive leaders and architects on the most appropriate and feasible approach for managing security engineering-based risk and compliance issues. Owns security engineering decisions across USAA including identifying, planning, and applying advanced security solution concepts and principles. Builds prototypes and proofs of concept to demonstrate feasibility for new, emerging and innovative security technologies, and influences enterprise prioritization for implementation. Anticipates and translates business, security, engineering objectives into achievable controls, including developing and overseeing the technical implementation of those controls. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of relevant education and/or experience. 8 years' of related experience in Security Engineering and/or Information Technology in a large organization, major consulting firm, or US military. Expert level security consulting skills in delivering modern security infrastructure solutions new applications of technology and Information Technology business models in support of emerging workforce needs. Advanced knowledge of emerging and/or evolution of existing security technologies. Mastery of complex system and environment analysis, design, optimization, and hardening. Subject matter expert knowledge of Information Security and/or Cybersecurity theories, techniques and/or technologies. Exceptional relationship management building skills which include the ability to effectively collaborate, communicate and develop high trust relationships across all levels of an organization, to include senior level executive leaders. Extensive experience explaining and influencing complex technology decisions to both technical and nontechnical audiences at all levels in the organization and with cross functional and enterprise teams. What sets you apart: Deep expertise in SIEM platforms (e.g., Splunk, Microsoft Sentinel, Google SecOps, Elastic, QRadar) or leveraging a Datalake (Snowflake, Databricks) for security logging, with experience designing and optimizing large-scale security monitoring and analytics environments. Strong background in security telemetry engineering, including log collection, normalization, enrichment, parsing, and data quality management across cloud, on-premises, application, identity, and endpoint data sources. Experience building and maintaining scalable data pipelines using technologies such as Kafka, Cribl, Kinesis, Event Hubs, Data Lake architectures, cloud-native services, or similar high-volume data processing platforms. Advanced knowledge of security operations, threat detection engineering, threat hunting, incident response, and MITRE ATT&CK, with the ability to translate security use cases into actionable telemetry and detection requirements. Proficiency in scripting, automation, and data analysis using languages such as Python, PowerShell, SQL, or similar technologies to improve telemetry onboarding, validation, and operational efficiency. Demonstrated ability to lead cross-functional engineering initiatives, influence technical strategy, and partner with application, infrastructure, cloud, and security teams to drive enterprise-wide security data and observability capabilities. Compensation range: The salary range for this position is: $164,780.00 - $314,960.00. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

About the Team We pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs' location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team's breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. About AWS Neuron: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrock, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. Job Summary You will join a dynamic team working at the cutting edge of the GenAI revolution by applying AI to AI. You will work on building agents, tools, and models to simplify and accelerate customer adoption of Neuron, the software stack supporting Amazon's Machine Learning silicon: Trainium. Partnering with external and internal customers, you will identify key obstacles and opportunities to accelerate their migration to AWS's ML silicon. You will be a key contributor driving impact by building AI agents and tools that simplify AWS Neuron adoption, which is critical to AWS's Generative AI business. Key job responsibilities This role requires collaborating with other Neuron Software teams, Science, AWS AI Services, external partners and customers with a potential high impact on AWS's top and bottom line. As a member of the team applying Generative AI to accelerate Neuron adoption, you will play a key role in shaping this space with the following technical responsibilities: - Research implementations that deliver the best possible experiences for customers. - Deliver on goals to improve the time and effort it takes to port and optimize Machine Learning workloads on Neuron. - Solve challenging technical problems, often ones not solved before, at every layer of the stack - Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. - Build high-quality, highly available, always-on products. - Potentially contribute intellectual property through patents A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: - Build high-impact solutions to deliver to our large customer base. - Participate in design discussions, code review, and communicate with internal and external stakeholders. - Work cross-functionally to help drive business decisions with your technical input. You will collaborate closely with a cross-functional team comprised of compiler, hardware, and ML engineers. - Work in a startup-like development environment, where you're always working on the most important stuff. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Computer Science core: object-oriented design, data structures, and performance analysis with at least 2 programming languages. - Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math. PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 2+ years in machine learning or other computational modeling environments with an emphasis on hosting, building or optimizing models for diverse hardware platforms - Proven track record in building AI agents that automate ML workload optimization, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization - Experience working with open-source software communities in the optimization space or related areas - Knowledge of the state-of-the-art technology used in the Machine Learning space and its mathematical underpinning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 158 800.00 USD annually

Job Description Job Description Benefits: Competitive salary Opportunity for advancement Training & development Role: AI/ML Technical Lead Location: Fort Belvoir, VA 22060 Let's Create Our Future Together at The AES Group! Position Overview We are seeking an AI/ML Technical Lead to design, build, and deploy scalable machine learning models and AI-powered solutions. This role will collaborate with engineering, product, data, and business teams to transform complex data into practical, measurable solutions. The ideal candidate has strong technical leadership, problem-solving skills, production AI/ML experience, and expertise in Large Language Models. Key Responsibilities Lead the design, development, training, testing, and deployment of AI and machine learning models. Build scalable ML pipelines for data processing, model training, validation, and production deployment. Work with structured and unstructured data, including text, images, documents, and large datasets. Collaborate with data engineers, software engineers, and product teams to integrate AI/ML capabilities into applications. Evaluate and improve model accuracy, efficiency, reliability, scalability, and performance. Develop predictive models, recommendation systems, NLP tools, automation workflows, and generative AI solutions. Research and apply modern AI/ML tools, techniques, architectures, and best practices. Monitor deployed models and address model drift, bias, data quality, and performance issues. Document model architecture, assumptions, limitations, metrics, and technical decisions. Promote responsible AI practices related to security, privacy, fairness, governance, and compliance. Provide technical direction, code reviews, mentoring, and implementation guidance to engineering teams. Required Qualifications Active Secret security clearance or higher. Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Engineering, or a related field. Three or more years of experience in AI, machine learning, data science, or software engineering. Strong Python programming skills. Experience with PyTorch, TensorFlow, Scikit-learn, Keras, XGBoost, or similar frameworks. Experience developing and deploying production machine learning models. Strong knowledge of algorithms, feature engineering, statistical analysis, and model evaluation. Experience processing large datasets using modern data tools. Familiarity with APIs, cloud platforms, and software development practices. Ability to communicate complex technical concepts to technical and non-technical stakeholders. Preferred Qualifications Master's degree or PhD in a related field. Experience with Generative AI, LLMs, NLP, computer vision, or deep learning. Experience with Ask Sage, Hugging Face, LangChain, OpenAI APIs, Azure AI, AWS SageMaker, or Google Vertex AI. Experience with MLflow, Kubeflow, Airflow, Docker, Kubernetes, and CI/CD pipelines. Experience with SQL, Spark, Databricks, Snowflake, or cloud data warehouses. Knowledge of AI governance, ethics, bias testing, security, and data privacy standards. Experience deploying AI solutions in enterprise environments. Technical Skills Languages: Python, SQL, and R ML Frameworks: PyTorch, TensorFlow, Scikit-learn, and XGBoost Cloud Platforms: AWS, Microsoft Azure, or Google Cloud MLOps: Docker, Kubernetes, MLflow, Airflow, and CI/CD Data Tools: Pandas, NumPy, Spark, Snowflake, and Databricks AI/LLM Tools: Ask Sage, Hugging Face, LangChain, OpenAI, and vector databases

Job Description Job Description Join the ECI Group's Professional Technical Services Network as a contract Principal Data Engineer. This is a Houston TX based contract role with an anticipated 7-month duration with an estimated start date of October 5, 2026. Note: You must be a US Citizen or Permanent US Resident to qualify for this position. About the Role We are seeking a visionary Principal Data Engineer to lead the delivery of innovative data analytics solutions, with a focus on technical excellence, governance, and operational performance in a high-volume data environment. This role involves strategic and technical leadership in building Azure-based data lake solutions, driving maturity in data management, and engaging with cross-functional teams to leverage data for organizational success. Key Responsibilities: Architect, design, and implement scalable Azure-based data lake solutions. Establish roadmaps for capability-building across technologies such as Qlik Replicate, Databricks Delta Live Tables, and Unity Catalog. Provide technical leadership, ensuring adherence to best practices and quality standards. Lead the development of data transformation pipelines using Databricks Delta Live Tables and Structured Streaming. Optimize Databricks resources for high-volume data processing without exceeding budget. Oversee the use of Databricks Unity Catalog for data governance, lineage, and metadata management. Develop and enforce robust data governance policies, ensuring compliance, security, and data quality. Monitor data pipeline performance and proactively resolve production issues. Collaborate with cross-functional teams to align project objectives with business goals. Translate technical challenges into actionable insights for executive teams. Mentor and develop a high-performing team skilled in Azure, Databricks, and data streaming technologies. Facilitate knowledge transfer sessions to empower internal teams with cutting-edge methodologies. Education and Experience: Bachelor's or Master's degree in IT or a related discipline. 15-17 years of experience in the IT industry with expertise in delivering cost-effective cloud-based data analytics solutions. Proven track record in building data lake architectures and optimizing performance in big data environments. Certification in Azure Data Engineering or Databricks (preferred). Technical Skills: Strong knowledge of Azure technologies, including ADF, ADLS, Databricks, Stream Analytics, Delta Live Tables, and Synapse Analytics. Advanced proficiency in SQL and programming languages such as Python, Scala, or Spark-SQL. Experience in designing and developing scalable ETL pipelines and optimizing data workflows. Deep understanding of data migration from on-premises to cloud, cloud to cloud. Leadership and Soft Skills: Proven ability to lead diverse teams and manage end-to-end analytics projects. Exceptional communication and collaboration skills for engaging executives and stakeholders. Strong sense of ownership, accountability, adaptability, and commitment to results. Expertise in identifying risks and implementing effective mitigation strategies. Nice to Have: Familiarity with big data tools like Hadoop, Kafka, and Spark. Experience with visualization tools such as PowerBI or QlikSense. Knowledge of AI/ML, NLP, and GenAI concepts. Familiarity with AGILE and KANBAN methodologies. Portfolio: Shell IDT/Downstream & Renewables IDT/Trading & Supply/TS - Crude & Products/TS - Products/TS - Products Investments Program: Project: T&S Future Freight Platform - Jigsaw Description: Build a new Freight Platform (replacing RADAR) to serve the freight business and its customers. This includes a new industry standard Voyage Management System (VIP) alongside other components to close capability gaps. Optimize business processes and define master data maintenance processes. The overall Freight Platform will serve as a hub to facilitate seamless integration of necessary data, supporting an ecosystem of IT tools that are aligned with Shell's business growth roadmap. Freight Platform Project will begin a detailed design phase through Stage Gate 2 to accomplish the following: An approved (Solution Architecture) that provides a solution for Industry standard Voyage Management System (VIP) alongside other IT components to close capability gaps - identified during the Study Phase Optimize business processes and define master data maintenance processes Establish how well the platform can meet the needs for capturing Freight exposure management across the house, with the potential to use existing ETRMs for this if required, What IMOS reporting capability to utilise and avoid paying for functionality in IMOS we don't need and can do internally in a cost-efficient manner, Identify MI data use-cases that provide Shell a competitive edge and develop them in-house e.g. with Qliksense offering-up alternate solutions for exposure reporting, VaR, Carbon Emissions reporting. Identify a middleware integration solution to replace Mulesoft to tie Shell systems to VESON VIP Develop a data platform solution to ingest, host and distribute data between multiple integration points Business Application: RADAR Bulk Upload, RADAR Mail, RADAR-SAFE, RadarMsgServer, RADAR_app, VESON VIP T&S Pr Data Modelling, Data Engineering, Data Integration Please Note: The ECI Group uses AI-assisted tools in the early stages of application review, with all decisions guided by human oversight and fully compliant with General Data Protection Regulation (GDPR) and ECI Group's applicable data protection policies and Privacy Notice. Powered by JazzHR aBI8is58bZ

Job Description Job Description About Medical Guardian: Medical Guardian is a fast-growing digital health and safety company on a mission to help people live a life without limits. With 13 consecutive years on the Inc. 5000 list of Fastest Growing Companies, we are redefining what it means to age confidently and independently. We support over 625,000 members nationwide with life-saving emergency response systems and remote patient monitoring solutions. Trusted by families, healthcare providers, and care managers, our work is powered by a culture of innovation, compassion, and purpose. Mission: This role is focused on building and leading the data engineering foundation that powers real-time decisioning, operational applications, analytics, ML/AI model development, and data services across Medical Guardian. The Principal Data Engineer will own the design, delivery, and maturity of production-grade data pipelines and data platforms, with a primary emphasis on real-time streaming, IoT telemetry, Databricks, Azure, data services for APIs and microservices, and reliable data products for downstream consumption. Role Summary: We are looking for a Principal Data Engineer to serve as a hands-on technical and people leader for data engineering, data platform architecture, real-time streaming, and production data services. This role will focus on designing, building, operating, and improving data pipelines and data products while also bringing principal-level judgment to architecture, stakeholder shaping, delivery priorities, team management, and production readiness. This is a hands-on engineering leadership role first. The ideal candidate should be comfortable spending significant time working directly with Databricks, Spark, SQL, Python/PySpark, Azure services, streaming architectures, data quality frameworks, pipeline automation, CI/CD, and production troubleshooting. They should also be able to operate with the maturity of a principal-level leader: shaping unclear requirements, making pragmatic technical decisions, managing and mentoring engineers, and driving work forward without waiting for perfect specifications. This is a fast-moving, startup-like environment. Requirements may be incomplete, priorities may evolve, and the right candidate will help create clarity while building quickly. We need someone who can move from ambiguous business need to reliable data capability with urgency, discipline, and ownership. Stakeholder shaping is a critical part of this role. The Principal Data Engineer should be able to work directly with business, product, software engineering, analytics, ML/AI, operations, and leadership stakeholders to define what data needs to exist, how it should be consumed, what production guarantees are required, and how success should be measured. A background in commercial software, SaaS, digital products, healthtech, fintech, IoT, data platforms, or other product-driven environments is strongly preferred. We want someone who understands that data pipelines and data services are not just technical artifacts. They are product capabilities that support real users, real workflows, operational decisions, ML/AI systems, APIs, analytics, and measurable business outcomes. Key Responsibilities: Hands-On Data Engineering and Platform Development Design, build, optimize, and operate production-grade batch and streaming data pipelines on Azure and Databricks, with a primary focus on real-time IoT and telemetry use cases within a Medallion architecture. Develop ETL/ELT workflows to ingest, transform, validate, and serve large volumes of structured, semi-structured, unstructured, and streaming data. Build and maintain reliable data products, data services, APIs, and microservices that support operational applications, analytics, software engineering, and ML/AI teams. Use Python, PySpark, Spark SQL, SQL, Delta Lake, Databricks Workflows, CI/CD, and related tools to build maintainable, testable, and observable data systems. Troubleshoot complex production pipeline issues across Databricks, Azure, streaming systems, APIs, and source systems, including root cause analysis, corrective action, and prevention planning. Move quickly from rough business need to prototype, pilot, and production-ready data capability while maintaining appropriate engineering discipline. Real-Time Streaming, IoT Telemetry, and Operational Data Services Lead the design and delivery of real-time streaming ingestion and processing patterns for connected medical device telemetry, event data, and operational data feeds. Implement streaming solutions using Azure Event Hubs, Azure Stream Analytics, Databricks, Delta Lake, and related Azure integration patterns. Design cost-effective throughput, partitioning, delivery, retention, and replay strategies for high-volume event and telemetry workloads. Create consumption patterns that support APIs, microservices, operational applications, near-real-time decisioning, analytics, and ML/AI use cases. Define reliability, latency, quality, observability, and supportability expectations for production streaming systems. Databricks, Lakehouse, and Data Platform Architecture Set direction for Databricks-based data engineering patterns, including Medallion architecture, Delta Lake, Spark optimization, data modeling, data quality, and reusable pipeline design. Optimize production Databricks pipelines using PySpark, Spark SQL, Delta Lake, partitioning strategies, caching, shuffle optimization, cluster/job configuration, and cost-aware design. Establish practical standards for pipeline structure, code organization, testing, deployment, monitoring, documentation, and ownership. Partner with data platform, security, infrastructure, and engineering teams to ensure the data platform is scalable, secure, reliable, and aligned with enterprise architecture. Make pragmatic architecture tradeoffs between speed, durability, cost, governance, performance, and downstream business impact. Stakeholder Shaping and Cross-Functional Partnership Work directly with business, product, analytics, ML/AI, operations, software engineering, and leadership stakeholders to clarify what data is needed, why it matters, how it will be used, and what success looks like. Translate ambiguous business needs into concrete data requirements, data product definitions, architecture options, delivery priorities, and implementation plans. Ask practical questions early: who will use the data, what decision or workflow does it support, what latency and quality are required, what happens if the data is wrong or late, and how will we know the capability is creating value? Help the organization avoid becoming a data ticket factory by shaping solutions, not just executing requests. Communicate architecture decisions, tradeoffs, risks, dependencies, and delivery options clearly to technical and non-technical stakeholders. Team Management and Principal-Level Technical Leadership Manage, mentor, and develop data engineers, providing clear expectations, technical guidance, prioritization support, feedback, and accountability. Provide technical leadership through hands-on example, strong engineering judgment, clear recommendations, and pragmatic decision-making. Lead design reviews, code reviews, production readiness reviews, incident reviews, and architecture discussions across data engineering initiatives. Establish and improve engineering standards for data quality, testing, CI/CD, observability, documentation, runbooks, cost management, privacy, and security. Proactively identify platform risks, data gaps, unclear ownership, operational weaknesses, and opportunities to improve reliability, scalability, and delivery speed. Influence without relying only on formal authority by building trust, framing tradeoffs, and helping cross-functional teams get to decisions. ML/AI, Analytics, and GenAI Enablement Partner with ML engineers, data scientists, analytics engineers, and analysts to deliver reliable data pipelines, feature pipelines, training datasets, scoring inputs, and feedback loops. Support the data foundation for predictive models, risk scores, operational decisioning, GenAI workflows, RAG, document intelligence, summarization, and AI-enabled automation. Help define data contracts, model-ready datasets, feature definitions, lineage, and monitoring expectations for ML/AI and analytics use cases. Ensure downstream consumers understand the meaning, freshness, quality, limitations, and appropriate use of the data products they depend on. Governance, Data Quality, Security, and Production Operations Apply privacy-first, security-aware, and governance-aligned practices for regulated, sensitive, and operationally critical data. Design and implement data quality checks, validation rules, anomaly detection, schema expectations, alerting, and operational monitoring. Ensure production pipelines and services are supportable, observable, documented, recoverable, and aligned with business continuity needs. Drive incident response and continuous improvement for data platform and pipeline issues, including root cause analysis and preventative remediation. Balance innovation with reliability, compliance, privacy, cost discipline, and operational usefulness. Required Qualifications: 10+ years of professional experience in data engineering . click apply for full job details

Job Description Job Description At Wilson Elser, we are redefining what it means to work at a national law firm. With more than 1,400 attorneys across 46 offices nationwide, we are recognized among the top 100 law firms by The American Lawyer and ranked in the National Law Journal's survey of the nation's largest law firms. Our continued success is built on a culture of collaboration, innovation, client service, and mutual respect. We are committed to fostering an environment where employees are empowered to grow their careers, contribute meaningfully, and thrive professionally. Summary Data Operations Engineer to manage, optimize, and support enterprise data platforms across on-premises and cloud environments. The ideal candidate will have strong expertise in Microsoft SQL Server (On-Premises), Azure SQL, and Azure Databricks, with a focus on ensuring data platform availability, performance, security, and operational excellence. This role is responsible for maintaining critical database infrastructure, supporting data engineering workloads, automating operational processes, monitoring platform health, and collaborating with data engineers, developers, and infrastructure teams to deliver reliable, secure and scalable data services. Key Responsibilities Database Administration & Operations Administer and maintain Microsoft SQL Server on-premises environments. Manage Azure SQL Database and Azure SQL Managed Instance environments. Monitor database health, performance, storage utilization, and capacity planning. Perform database installation, configuration, patching, upgrades, and migrations. Configure and manage high availability and disaster recovery solutions, including SQL Server Always On Availability Groups, failover clustering, backup, and recovery. Develop and maintain backup, restore, and disaster recovery procedures. Azure Data Platform Operations Manage and monitor Azure SQL resources and Azure Databricks workspaces Monitor SQL cloud resource utilization and Databricks job scheduling. Coordinate data security access management with InfoSec and Infrastructure teams. Performance Tuning & Optimization Analyze and resolve database performance bottlenecks. Optimize SQL queries, indexes, execution plans, and database configurations. Monitor resource consumption and recommend performance improvements. Implement proactive monitoring and alerting for production systems. Automation & DevOps Automate operational tasks using PowerShell, T-SQL, Azure CLI, or Python. Support CI/CD pipelines for database deployments using Azure DevOps or GitHub Actions. Automate database maintenance, monitoring, and reporting processes. Monitoring & Incident Management Monitor database environments using Azure Monitor, Log Analytics, SQL monitoring tools, and Databricks monitoring capabilities. Respond to production incidents, troubleshoot issues, and perform root cause analysis. Maintain operational runbooks and standard operating procedures. Participate in on-call support rotations when required. Security & Compliance Implement database security best practices. Manage user access, encryption, auditing, and compliance controls. Perform vulnerability assessments and security remediation. Qualifications Bachelor's Degree in Computer Science, Information Technology or Engineering. 4+ years of experience administering Azure SQL and MS SQL Server environments. Experience administering Azure Databricks environments. Strong knowledge of T-SQL programming and query optimization. Experience with SQL Server backup and recovery strategies. Knowledge of High Availability and Disaster Recovery (HA/DR) solutions. Experience with Azure Monitor, Log Analytics, and performance monitoring tools. Familiarity with PowerShell, Azure CLI, or Python scripting. Experience with Azure DevOps, GitHub, or CI/CD pipelines. Strong troubleshooting and analytical skills. Excellent communication and documentation skills. Ensure compliance with organizational governance and regulatory requirements. . Wilson Elser offers a competitive salary and benefits package designed to support our attorneys both professionally and personally. A variety of factors are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands, other business and organizational needs, and other factors permitted by law. Final salary wages offered may be outside of this range based on other reasons and individual circumstances. This position is considered full-time and therefore qualifies for benefits including 401(k) retirement savings plan, medical, dental, vision, disability, and life insurance. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Salary Range: $125,000-$155,000 USD Why Should You Apply? Benefits: Outstanding benefits package, including 401k match and generous PTO plan Career Growth: Ample opportunities for professional development and advancement Employee Perks: Access to corporate discount plans and other benefits Wilson Elser welcomes submissions of candidates for our open positions exclusively from recruitment agencies with an active, signed fee agreement who have been granted access to a position through our dedicated Recruitment Agency Portal. We are unable to consider submissions from recruitment agencies without a current (dated as of 7/1/2024) agreement in place. We appreciate your understanding. For collaboration inquiries or to establish an agreement, please contact us at . Wilson Elser is committed to a collegial work environment in which all individuals are treated with respect and dignity. It is the Firm's policy that employment will be based on merit, qualifications, and competence. Further, employment decisions will be made without regard to an applicants race, color, age, sex, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation or preference, gender identity, physical or mental disability, status as a victim of domestic violence, sex offenses, or stalking, past or present service in the uniformed services or application or obligation to serve in the uniformed services, or any other characteristic protected by law. Wilson Elser endeavors to make the Wilson Elser website accessible to any and all users. You may review our Accessibility Policy here. California Residents may review our CCPA notice for applicants and employees here.

Job Description Job Description At Wilson Elser, we are redefining what it means to work at a national law firm. With more than 1,400 attorneys across 46 offices nationwide, we are recognized among the top 100 law firms by The American Lawyer and ranked in the National Law Journal's survey of the nation's largest law firms. Our continued success is built on a culture of collaboration, innovation, client service, and mutual respect. We are committed to fostering an environment where employees are empowered to grow their careers, contribute meaningfully, and thrive professionally. Summary Data Operations Engineer to manage, optimize, and support enterprise data platforms across on-premises and cloud environments. The ideal candidate will have strong expertise in Microsoft SQL Server (On-Premises), Azure SQL, and Azure Databricks, with a focus on ensuring data platform availability, performance, security, and operational excellence. This role is responsible for maintaining critical database infrastructure, supporting data engineering workloads, automating operational processes, monitoring platform health, and collaborating with data engineers, developers, and infrastructure teams to deliver reliable, secure and scalable data services. Key Responsibilities Database Administration & Operations Administer and maintain Microsoft SQL Server on-premises environments. Manage Azure SQL Database and Azure SQL Managed Instance environments. Monitor database health, performance, storage utilization, and capacity planning. Perform database installation, configuration, patching, upgrades, and migrations. Configure and manage high availability and disaster recovery solutions, including SQL Server Always On Availability Groups, failover clustering, backup, and recovery. Develop and maintain backup, restore, and disaster recovery procedures. Azure Data Platform Operations Manage and monitor Azure SQL resources and Azure Databricks workspaces Monitor SQL cloud resource utilization and Databricks job scheduling. Coordinate data security access management with InfoSec and Infrastructure teams. Performance Tuning & Optimization Analyze and resolve database performance bottlenecks. Optimize SQL queries, indexes, execution plans, and database configurations. Monitor resource consumption and recommend performance improvements. Implement proactive monitoring and alerting for production systems. Automation & DevOps Automate operational tasks using PowerShell, T-SQL, Azure CLI, or Python. Support CI/CD pipelines for database deployments using Azure DevOps or GitHub Actions. Automate database maintenance, monitoring, and reporting processes. Monitoring & Incident Management Monitor database environments using Azure Monitor, Log Analytics, SQL monitoring tools, and Databricks monitoring capabilities. Respond to production incidents, troubleshoot issues, and perform root cause analysis. Maintain operational runbooks and standard operating procedures. Participate in on-call support rotations when required. Security & Compliance Implement database security best practices. Manage user access, encryption, auditing, and compliance controls. Perform vulnerability assessments and security remediation. Qualifications Bachelor's Degree in Computer Science, Information Technology or Engineering. 4+ years of experience administering Azure SQL and MS SQL Server environments. Experience administering Azure Databricks environments. Strong knowledge of T-SQL programming and query optimization. Experience with SQL Server backup and recovery strategies. Knowledge of High Availability and Disaster Recovery (HA/DR) solutions. Experience with Azure Monitor, Log Analytics, and performance monitoring tools. Familiarity with PowerShell, Azure CLI, or Python scripting. Experience with Azure DevOps, GitHub, or CI/CD pipelines. Strong troubleshooting and analytical skills. Excellent communication and documentation skills. Ensure compliance with organizational governance and regulatory requirements. . Wilson Elser offers a competitive salary and benefits package designed to support our attorneys both professionally and personally. A variety of factors are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands, other business and organizational needs, and other factors permitted by law. Final salary wages offered may be outside of this range based on other reasons and individual circumstances. This position is considered full-time and therefore qualifies for benefits including 401(k) retirement savings plan, medical, dental, vision, disability, and life insurance. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Salary Range: $125,000-$155,000 USD Why Should You Apply? Benefits: Outstanding benefits package, including 401k match and generous PTO plan Career Growth: Ample opportunities for professional development and advancement Employee Perks: Access to corporate discount plans and other benefits Wilson Elser welcomes submissions of candidates for our open positions exclusively from recruitment agencies with an active, signed fee agreement who have been granted access to a position through our dedicated Recruitment Agency Portal. We are unable to consider submissions from recruitment agencies without a current (dated as of 7/1/2024) agreement in place. We appreciate your understanding. For collaboration inquiries or to establish an agreement, please contact us at . Wilson Elser is committed to a collegial work environment in which all individuals are treated with respect and dignity. It is the Firm's policy that employment will be based on merit, qualifications, and competence. Further, employment decisions will be made without regard to an applicants race, color, age, sex, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation or preference, gender identity, physical or mental disability, status as a victim of domestic violence, sex offenses, or stalking, past or present service in the uniformed services or application or obligation to serve in the uniformed services, or any other characteristic protected by law. Wilson Elser endeavors to make the Wilson Elser website accessible to any and all users. You may review our Accessibility Policy here. California Residents may review our CCPA notice for applicants and employees here.

Job Description Job Description At Wilson Elser, we are redefining what it means to work at a national law firm. With more than 1,400 attorneys across 46 offices nationwide, we are recognized among the top 100 law firms by The American Lawyer and ranked in the National Law Journal's survey of the nation's largest law firms. Our continued success is built on a culture of collaboration, innovation, client service, and mutual respect. We are committed to fostering an environment where employees are empowered to grow their careers, contribute meaningfully, and thrive professionally. Summary Data Operations Engineer to manage, optimize, and support enterprise data platforms across on-premises and cloud environments. The ideal candidate will have strong expertise in Microsoft SQL Server (On-Premises), Azure SQL, and Azure Databricks, with a focus on ensuring data platform availability, performance, security, and operational excellence. This role is responsible for maintaining critical database infrastructure, supporting data engineering workloads, automating operational processes, monitoring platform health, and collaborating with data engineers, developers, and infrastructure teams to deliver reliable, secure and scalable data services. Key Responsibilities Database Administration & Operations Administer and maintain Microsoft SQL Server on-premises environments. Manage Azure SQL Database and Azure SQL Managed Instance environments. Monitor database health, performance, storage utilization, and capacity planning. Perform database installation, configuration, patching, upgrades, and migrations. Configure and manage high availability and disaster recovery solutions, including SQL Server Always On Availability Groups, failover clustering, backup, and recovery. Develop and maintain backup, restore, and disaster recovery procedures. Azure Data Platform Operations Manage and monitor Azure SQL resources and Azure Databricks workspaces Monitor SQL cloud resource utilization and Databricks job scheduling. Coordinate data security access management with InfoSec and Infrastructure teams. Performance Tuning & Optimization Analyze and resolve database performance bottlenecks. Optimize SQL queries, indexes, execution plans, and database configurations. Monitor resource consumption and recommend performance improvements. Implement proactive monitoring and alerting for production systems. Automation & DevOps Automate operational tasks using PowerShell, T-SQL, Azure CLI, or Python. Support CI/CD pipelines for database deployments using Azure DevOps or GitHub Actions. Automate database maintenance, monitoring, and reporting processes. Monitoring & Incident Management Monitor database environments using Azure Monitor, Log Analytics, SQL monitoring tools, and Databricks monitoring capabilities. Respond to production incidents, troubleshoot issues, and perform root cause analysis. Maintain operational runbooks and standard operating procedures. Participate in on-call support rotations when required. Security & Compliance Implement database security best practices. Manage user access, encryption, auditing, and compliance controls. Perform vulnerability assessments and security remediation. Qualifications Bachelor's Degree in Computer Science, Information Technology or Engineering. 4+ years of experience administering Azure SQL and MS SQL Server environments. Experience administering Azure Databricks environments. Strong knowledge of T-SQL programming and query optimization. Experience with SQL Server backup and recovery strategies. Knowledge of High Availability and Disaster Recovery (HA/DR) solutions. Experience with Azure Monitor, Log Analytics, and performance monitoring tools. Familiarity with PowerShell, Azure CLI, or Python scripting. Experience with Azure DevOps, GitHub, or CI/CD pipelines. Strong troubleshooting and analytical skills. Excellent communication and documentation skills. Ensure compliance with organizational governance and regulatory requirements. . Wilson Elser offers a competitive salary and benefits package designed to support our attorneys both professionally and personally. A variety of factors are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands, other business and organizational needs, and other factors permitted by law. Final salary wages offered may be outside of this range based on other reasons and individual circumstances. This position is considered full-time and therefore qualifies for benefits including 401(k) retirement savings plan, medical, dental, vision, disability, and life insurance. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Salary Range: $125,000-$155,000 USD Why Should You Apply? Benefits: Outstanding benefits package, including 401k match and generous PTO plan Career Growth: Ample opportunities for professional development and advancement Employee Perks: Access to corporate discount plans and other benefits Wilson Elser welcomes submissions of candidates for our open positions exclusively from recruitment agencies with an active, signed fee agreement who have been granted access to a position through our dedicated Recruitment Agency Portal. We are unable to consider submissions from recruitment agencies without a current (dated as of 7/1/2024) agreement in place. We appreciate your understanding. For collaboration inquiries or to establish an agreement, please contact us at . Wilson Elser is committed to a collegial work environment in which all individuals are treated with respect and dignity. It is the Firm's policy that employment will be based on merit, qualifications, and competence. Further, employment decisions will be made without regard to an applicants race, color, age, sex, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation or preference, gender identity, physical or mental disability, status as a victim of domestic violence, sex offenses, or stalking, past or present service in the uniformed services or application or obligation to serve in the uniformed services, or any other characteristic protected by law. Wilson Elser endeavors to make the Wilson Elser website accessible to any and all users. You may review our Accessibility Policy here. California Residents may review our CCPA notice for applicants and employees here.

Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science

Job Description Job Description Essential Responsibilities Define enterprise-wide platform strategy, vision, and target-state architectures for platforms such as Microsoft Fabric, Foundry/OpenAI, Databricks, and Synapse. Own the end-to-end lifecycle of cloud platforms. Establish standards and guardrails across all platform engineering domains. Drive innovation in cloud, data, and AI platforms (Fabric, OpenAI/Foundry, etc.). Lead large-scale transformation initiatives (e.g., platform modernization, DC exit, AI adoption). Act as the highest-level escalation point for technical decisions and complex issues. Influence enterprise architecture boards, governance, and regulatory alignment. Drive cost optimization strategies and large-scale efficiency improvements. Foster platform product mindset across the organization (self-service, reuse, enablement). Mentor senior and lead engineers; shape engineering culture and technical direction. Partner with executives and business leaders to translate strategy into platform capabilities. Education & Years of Experience Minimum - 4 Year Bachelors Degree in Computer Science, Engineering or related Minimum - 10 Years of Platform engineering, cloud infrastructure, SRE roles or related In Lieu of Education 12 Years of Supporting enterprise-level environments in platform engineering, cloud infrastructure or SRE roles or related License/Certifications/Training Preferred - Azure DevOps Engineer Expert (or equivalent DevOps focused certification) Preferred - Fabric Analytics Engineer Associate (or equivalent data platform focused certification) Preferred - Azure AI Engineer Associate (or equivalent AI focused certification) Preferred - HashiCorp Certified: Terraform Professional (or equivalent IaC focused certification) Preferred - Azure Solutions Architect Expert (or equivalent Cloud focused certification) Compensation & Benefits: Typical hiring range: $119,400.00 to $204,600.00 Annually. Actual compensation will be determined using factors such as experience, skills & knowledge. Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including: Annual performance bonus Work from home up to 3 days a week Paid parental leave Employee discount programs Time off including paid personal and sick days 11 paid holidays Education reimbursement Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment. Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives. The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.

Job Description Job Description Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. This role supports the conceptualization, execution, and integration of data-driven projects for commercial efforts in the pharmaceutical and life sciences industries. You will drive innovation and creative solutions within various work streams and provide thought leadership. You will lead project teams and play a pivotal role in guiding internal stakeholders toward project success. We'll Trust you to: Work with cross-functional project teams in the design and development of high-quality deliverables for clients. Collaborate with leadership to define project scope, approach, and development strategies. Contribute to Beghou's internal data warehouse build. Demonstrate knowledge of data platform components (warehouse, monitoring, etc.) and data engineering (ETL design, schema design, etc.) and CI/CD best practices. Analyze data, synthesize findings, and develop actionable insights, communicating results to both internal and external teams. Work on projects, handling client communications, meeting facilitation, and timelines, serving as a primary point of contact with minimal oversight. Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting. Coordinate with global and diverse teams to ensure seamless project execution. Contribute to internal firm initiatives to drive organizational growth. You'll Need to Have: Bachelor's or advanced degree with at least 2+ years of relevant professional experience, preferably in the pharmaceutical or life sciences industry. Experience with one or more additional UI-based ETL tools (e.g., Azure Data Factory, Alteryx, Informatica, SnapLogic, Boomi, Prophecy), preferred. Experience with relational database technologies, such as Databricks, Snowflake, PostgreSQL, Oracle, and MySQL. Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel. Knowledge of coding languages (e.g., Python, PySpark, SAS, VBA, etc.) and experience with data visualization software (e.g., Tableau, Power BI) is highly preferred. Experience with Claude Code or ChatGPT Codex is preferred. Excellent analytical and quantitative skills, with a proven ability to solve complex problems. Exceptional communication skills, both written and verbal. Demonstrated organizational, time management, and project management skills, with the ability to lead teams and manage multiple projects simultaneously. Strong ability to collaborate, adapt quickly, and work effectively in a fast-paced environment. Familiarity with industry best practices in data analytics within the pharmaceutical sector. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Beghou, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $90,000 to $110,000. We are currently unable to consider candidates who require, or will require in the future, sponsorship for work authorization . Applicants must be authorized to work in the US on a permanent and ongoing basis without the need for current or future employer-sponsored work authorization. At Beghou, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact! Compensation and Benefits: Beghou Consulting offers a competitive compensation package and a full complement of benefits, including the following: Health & Wellness We provide comprehensive medical, dental, and vision insurance, as well as life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account to help you feel your best. Work-Life Balance Our generous PTO, company holidays, and paid parental & bonding leave help you recharge and be present where it matters most. With a flexible hybrid work policy, you'll enjoy the balance of in-person collaboration and remote flexibility. Financial Wellness We invest in your future with a 401(k) and employer match, tax-free commuter, health, and childcare accounts, and performance bonuses. You'll also receive a monthly phone stipend and access to an employee discount program. Growth & Giving Back Through mentorship, training, and tuition reimbursement, we help you grow your career while supporting causes you care about with a charitable donation match. Culture & Values Collaboration, innovation, and inclusion define us. Here, you'll join a community that values your ideas and celebrates your impact. Equal Opportunity Employer We are committed to fostering an inclusive company culture that respects and promotes diverse backgrounds and points of view. We seek candidates who will add to our culture and support the company's vision of a diverse, equitable, inclusive, and collaborative workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. We are proud to be an equal-opportunity employer. If you are excited about this role but do not meet 100% of the qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles. Must be legally authorized to work in the United States. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Tetrad Digital Integrity (TDI) is a leading-edge cybersecurity firm with a mission to safeguard and protect our customers from increasing threats and vulnerabilities in this digital age. Join TDI as we stand up a brand-new Agile development team at the forefront of federal IT modernization, delivering real digital transformation where it matters most. This is a rare ground-floor opportunity to architect, build, and integrate cutting-edge infrastructure solutions in support of some of our nation's most sensitive and critical missions. The Configuration Manager will ensure baseline control, deployment coordination, and release governance across a complex environment. This role blends hands on technical understanding with strong process leadership to coordinate delivery across engineering, DevOps, test, cyber, infrastructure, operations, product management, customer stakeholders, and partner teams. This is a fully onsite opportunity requiring a daily commute to the Washington, DC area. An active TS/SCI security clearance is required. RESPONSIBILITIES: Lead end to end configuration management across all environments (dev through IL5/IL6 production). Own CM plans, release procedures, baseline controls, governance models, and change workflows. Manage release calendars, cadences, readiness criteria, deployment windows, cutover and rollback planning, and post release validation. Coordinate release planning and execution across engineering, DevOps, cloud, data, test, cyber, IA, operations, network automation, service management, and customer teams. Facilitate release readiness reviews, configuration control boards, go/no go reviews, and retrospectives. Ensure release packages are complete, reviewed, documented, traceable, and approved (code, infrastructure changes, configs, test evidence, security scans, deployment instructions, rollback plans, release notes). Maintain traceability across requirements, defects, risks, and changes using Jira, Confluence, Bitbucket, and associated CI/CD tools. Manage configuration control for software, scripts, data pipelines, dashboards, integrations, IaC, automation workflows, interfaces, COTS/FOSS components, and runbooks. Maintain environment baselines for non prod, simulators, test environments, IL5/IL6 targets, and operational systems. Partner with DevOps to ensure CI/CD pipelines support controlled promotion with proper versioning, approval gates, automated tests, and artifact retention. Coordinate DoD aligned security requirements, STIG configurations, vulnerability remediation, privileged access controls, and audit evidence. Manage release impacts across mission critical capabilities (event processing, monitoring, cyber, automation, analytics, integrations). Oversee release and configuration coordination for AWS IL5/IL6 platforms and tools such as Elastic/Kibana, Kafka, Logstash, Databricks, ServiceNow, Watson AIOps, Jira, Confluence, Bitbucket, and network/cyber data sources. Identify and manage release risks, dependencies, blockers, environment constraints, and coordination gaps. Provide timely status reporting on scope, readiness, risks, defects, deployment progress, and outcomes. Develop release dashboards, metrics, decision briefs, and health indicators. Support audits, customer reviews, engineering reviews, and readiness assessments through accurate CM records and release evidence. Drive continuous improvement of CM and release processes. Provide CM and release training, mentoring, and guidance across engineering and operations teams. Coordinate with external partners and adjacent systems on integration planning, data dependencies, release alignment, and interoperability. QUALIFICATIONS: Active DoD TS/SCI security clearance. Ability to pass additional customer suitability screening(s) prior to start. Current Security+ or equivalent/higher. Bachelor's degree with 8+ years of relevant experience, or equivalent experience. Experience leading or supporting configuration management (CM), change management, deployment coordination, or baseline management for complex cloud, software, or mission systems, including developing CM/release plans, change control processes, deployment/rollback plans, and release documentation. Demonstrated experience leading cross-functional release planning, readiness, approval, deployment, and validation across multiple environments. Experience with Agile/DevOps workflows and tools, including Jira, Confluence, Bitbucket/Git, and related traceability and versioning tools. Familiarity with CI/CD, artifact management, branching strategies, automated testing, and promotion pipelines. Ability to understand complex systems and coordinate dependencies, risks, impacts, and stakeholder decisions. Strong communication and organizational skills, with the ability to manage multiple releases, anticipate issues, close actions, resolve gaps, and maintain discipline in fast-paced environments. PREFERRED QUALIFICATIONS: Experience with DoD network or cyber operations, including AWS/AWS GovCloud and IL5/IL6 environments. Experience supporting releases for data pipelines, analytics, observability, monitoring, automation, or service-management tools, including configuration management for IaC, COTS/FOSS, security configurations, APIs, dashboards, schemas, and deployment manifests. Experience with ServiceNow ITSM and change processes, including facilitating CCBs, CABs, and readiness or approval reviews. Experience supporting compliance, STIGs, vulnerability remediation, security scan evidence, or DoD cyber processes. PAY RANGE: The anticipated salary range for this position is $130,000 - $145,000. This range is a good-faith estimate and not a guarantee of compensation. Final compensation will be based on factors including experience, education, skills, geographic location, internal equity, market data and applicable contract requirements, and may fall outside the posted range. TDI does business with the federal government, which restricts employment to individuals who are either US citizens or lawful permanent residents of the United States. "TDI is an Equal Opportunity Employer. Employment decisions are made based on individual qualifications, merit, and business needs. We do not discriminate in employment opportunities or practices based on race, color, religion, sex, or national origin, in accordance with applicable federal laws." Powered by JazzHR Z3pjx6EUEc

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description While the AI innovation race in Biopharma is focused on Drug discovery, Product Development/ CMC represents the next barrier/ bottleneck. The complexity of biological systems, the rigor of regulatory expectations, the pace of pipeline growth, and the enormous value at stake make this one of the highest-leverage domains for applied data science and AI in the entire pharmaceutical value chain. We here at BTS - PDST, are building a dedicated, AI-native team that is driving cutting edge programs across early stage, late stage and commercial product development to accelerate E2E product development and launch, maximize yields of block buster products. Through our deep collaboration with PDST scientists we are boldly reimagining how Abbvie can bring our pipeline products and lifesaving drugs to patients faster, safer and in cost effective manner fueled by AI. Principal Data Engineer is a highly technical, AI-native role responsible for designing, building, and operating production-grade data pipelines and data products that power AI/ML, analytics, and automation across AbbVie's CMC and manufacturing ecosystem. This role is embedded inside PDST and works at the frontier of pharmaceutical data engineering. You will integrate and harmonize data from the full spectrum of manufacturing and development systems - including MES, historians, LIMS, QMS, ERP, and instrument platforms - and transform it into reliable, governed, semantically rich data assets that data scientists, process engineers, and AI systems can actually use. Enterprise-scale scope: Enterprise-scale biologics portfolio spanning clinical, commercial, and lifecycle stages Building AI playbook for the future: First-in-AbbVie and first-in-biologics analytical approaches; you build the AI playbook for the future Growth and Impact: Direct impact on regulatory submissions, commercial readiness, and manufacturing decisions through deep cross-functional exposure to manufacturing, quality, regulatory, and scientific leadership Mission: Every model you build helps ensure safe, reliable medicines reach patients at scale Responsibilities Data Ingestion & Integration Design and implement scalable, robust data ingestion pipelines that connect CMC and manufacturing source systems - including MES (Manufacturing Execution Systems), process historians, LIMS, QMS, ERP platforms, and instrument data sources - to centralized and federated data environments. Build connectors, adapters, and integration layers that handle the heterogeneous data formats, protocols, and latency profiles characteristic of pharmaceutical manufacturing environments. Support both batch and real-time/streaming data patterns, selecting appropriate architectures based on use case requirements. Data Harmonization & Semantic Modeling Develop and maintain harmonized data models and ontologies that bring consistency to CMC and manufacturing data across sites, systems, and modalities. Execute semantic mapping efforts that align source system fields, units, and identifiers to enterprise data standards and scientific meaning. Collaborate with process scientists, analytical chemists, and manufacturing engineers to ensure data models accurately reflect domain reality. Data Quality, Observability & Governance Implement automated data quality controls, validation frameworks, and anomaly detection mechanisms across pipeline layers. Build and maintain data lineage documentation and metadata infrastructure, enabling full traceability from source system to AI model input. Establish pipeline observability practices - monitoring, alerting, SLA tracking - to ensure data product reliability in production. Support data governance practices aligned with GxP requirements, 21 CFR Part 11, and AbbVie data standards. AI/ML Enablement & Data Product Development Architect and deliver governed, versioned, reusable data products purpose-built for AI/ML consumption, including feature stores, curated datasets, and vector-ready data layers for RAG and LLM applications. Partner closely with data scientists, ML engineers, and process modelers to understand model data requirements and translate them into reliable, scalable data infrastructure. Accelerate AI program delivery by eliminating data bottlenecks - not by workarounds, but by solving root causes structurally. Platform & Operational Enablement Contribute to the design and evolution of PDST's cloud-based data platform, including lakehouse architecture, data cataloging, access control, and compute infrastructure. Write and maintain infrastructure-as-code, CI/CD pipelines, and automated testing frameworks for data systems. Support platform onboarding of new CMC data domains and manufacturing sites, ensuring consistent application of standards and patterns. Provide operational support for production data pipelines, maintaining uptime and data freshness commitments. Stakeholder Engagement & Scientific Leadership Influence technical decision-making without formal authority - earning trust through scientific rigor, transparent methodology, and demonstrated business impact. Qualifications Required: Bachelor's Degree Computer Science, Data Engineering, Information Systems, Software Engineering, Bioinformatics, or a closely related technical field plus 6 years' experience; Master's Degree plus 5 years' experience; PhD plus 0 years' experience. Respective years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Expert-level proficiency in Python for data engineering tasks - pipeline development, transformation logic, data validation, and automation. Strong SQL skills across modern analytical and transactional databases; comfort with both ANSI SQL and platform-specific dialects. Demonstrated experience with cloud data platforms (AWS, Azure, or GCP) and modern data stack components - including tools such as dbt, Spark, Airflow, Databricks, Snowflake, or equivalents. Develop ETL/ELT pipelines using tools such as Informatica, Talend, Apache NiFi, and cloud-native services (e.g., AWS Glue, Azure Data Factory). Implement master data management (MDM), metadata management, and data cataloging solutions to ensure proper data lineage, accessibility, and compliance. Set and enforce standards for API development and data integration (REST, GraphQL, OData), enabling seamless integration using microservices architectures. Ownership orientation: you define your own problem space, drive solutions to completion, and hold yourself accountable to outcomes - not just outputs. Solution-architect instinct: you think before you build, consider the full landscape of available approaches, and choose tools based on fit-for-purpose reasoning rather than familiarity or trend. Scientific integrity: you build models you can explain, defend, and improve - and you apply the same standard to the work of others. Influence through credibility: you earn the confidence of scientists, engineers, and quality professionals by being right, being clear, and being useful - not by title or volume. Bias for impact: you are drawn to problems where the stakes are high and the analytical opportunity is real, and you are energized rather than intimidated by ambiguity. Preferred: 3+ years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Familiarity with technology transfer workflows, process characterization study design, or commercial process validation (PPQ/PV) in a biologics or pharmaceutical context. Experience in pharmaceutical, biotech, or other regulated life sciences manufacturing environments. Familiarity with GxP data principles, 21 CFR Part 11 compliance, or data integrity requirements in regulated industries. Prior exposure to manufacturing source systems such as MES, process historians (e.g., OSIsoft PI/AVEVA), LIMS, QMS, or ERP platforms Experience building data infrastructure for AI/ML programs - including feature engineering pipelines, model training datasets, or vector/embedding data layers for RAG architectures. Knowledge of biologics manufacturing processes (e.g., upstream cell culture, downstream purification, fill-finish) or CMC development workflows. Familiarity with data mesh, data fabric, or federated data architecture patterns. Experience with graph databases, knowledge graphs, or ontology frameworks applied to scientific or manufacturing data. Contributions to open-source data tooling or demonstrated engagement with the modern data engineering community. Design logical, physical, and conceptual data models using modeling tools (e.g., Erwin, PowerDesigner, dbt). . click apply for full job details

Job Description Job Description At Wilson Elser, we are redefining what it means to work at a national law firm. With more than 1,400 attorneys across 46 offices nationwide, we are recognized among the top 100 law firms by The American Lawyer and ranked in the National Law Journal's survey of the nation's largest law firms. Our continued success is built on a culture of collaboration, innovation, client service, and mutual respect. We are committed to fostering an environment where employees are empowered to grow their careers, contribute meaningfully, and thrive professionally. Summary Data Operations Engineer to manage, optimize, and support enterprise data platforms across on-premises and cloud environments. The ideal candidate will have strong expertise in Microsoft SQL Server (On-Premises), Azure SQL, and Azure Databricks, with a focus on ensuring data platform availability, performance, security, and operational excellence. This role is responsible for maintaining critical database infrastructure, supporting data engineering workloads, automating operational processes, monitoring platform health, and collaborating with data engineers, developers, and infrastructure teams to deliver reliable, secure and scalable data services. Key Responsibilities Database Administration & Operations Administer and maintain Microsoft SQL Server on-premises environments. Manage Azure SQL Database and Azure SQL Managed Instance environments. Monitor database health, performance, storage utilization, and capacity planning. Perform database installation, configuration, patching, upgrades, and migrations. Configure and manage high availability and disaster recovery solutions, including SQL Server Always On Availability Groups, failover clustering, backup, and recovery. Develop and maintain backup, restore, and disaster recovery procedures. Azure Data Platform Operations Manage and monitor Azure SQL resources and Azure Databricks workspaces Monitor SQL cloud resource utilization and Databricks job scheduling. Coordinate data security access management with InfoSec and Infrastructure teams. Performance Tuning & Optimization Analyze and resolve database performance bottlenecks. Optimize SQL queries, indexes, execution plans, and database configurations. Monitor resource consumption and recommend performance improvements. Implement proactive monitoring and alerting for production systems. Automation & DevOps Automate operational tasks using PowerShell, T-SQL, Azure CLI, or Python. Support CI/CD pipelines for database deployments using Azure DevOps or GitHub Actions. Automate database maintenance, monitoring, and reporting processes. Monitoring & Incident Management Monitor database environments using Azure Monitor, Log Analytics, SQL monitoring tools, and Databricks monitoring capabilities. Respond to production incidents, troubleshoot issues, and perform root cause analysis. Maintain operational runbooks and standard operating procedures. Participate in on-call support rotations when required. Security & Compliance Implement database security best practices. Manage user access, encryption, auditing, and compliance controls. Perform vulnerability assessments and security remediation. Qualifications Bachelor's Degree in Computer Science, Information Technology or Engineering. 4+ years of experience administering Azure SQL and MS SQL Server environments. Experience administering Azure Databricks environments. Strong knowledge of T-SQL programming and query optimization. Experience with SQL Server backup and recovery strategies. Knowledge of High Availability and Disaster Recovery (HA/DR) solutions. Experience with Azure Monitor, Log Analytics, and performance monitoring tools. Familiarity with PowerShell, Azure CLI, or Python scripting. Experience with Azure DevOps, GitHub, or CI/CD pipelines. Strong troubleshooting and analytical skills. Excellent communication and documentation skills. Ensure compliance with organizational governance and regulatory requirements. . Wilson Elser offers a competitive salary and benefits package designed to support our attorneys both professionally and personally. A variety of factors are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands, other business and organizational needs, and other factors permitted by law. Final salary wages offered may be outside of this range based on other reasons and individual circumstances. This position is considered full-time and therefore qualifies for benefits including 401(k) retirement savings plan, medical, dental, vision, disability, and life insurance. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Salary Range: $125,000-$155,000 USD Why Should You Apply? Benefits: Outstanding benefits package, including 401k match and generous PTO plan Career Growth: Ample opportunities for professional development and advancement Employee Perks: Access to corporate discount plans and other benefits Wilson Elser welcomes submissions of candidates for our open positions exclusively from recruitment agencies with an active, signed fee agreement who have been granted access to a position through our dedicated Recruitment Agency Portal. We are unable to consider submissions from recruitment agencies without a current (dated as of 7/1/2024) agreement in place. We appreciate your understanding. For collaboration inquiries or to establish an agreement, please contact us at . Wilson Elser is committed to a collegial work environment in which all individuals are treated with respect and dignity. It is the Firm's policy that employment will be based on merit, qualifications, and competence. Further, employment decisions will be made without regard to an applicants race, color, age, sex, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation or preference, gender identity, physical or mental disability, status as a victim of domestic violence, sex offenses, or stalking, past or present service in the uniformed services or application or obligation to serve in the uniformed services, or any other characteristic protected by law. Wilson Elser endeavors to make the Wilson Elser website accessible to any and all users. You may review our Accessibility Policy here. California Residents may review our CCPA notice for applicants and employees here.