Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models), Implements Artificial/Augmented Intelligence systems, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse "big data" sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements. The Data Scientist Senior will be a member of a close-knit team of data analysts, data scientists, and software developers analyzing large, multidimensional datasets from internal and external sources. The Data Scientist Senior will develop and apply novel models on customer data in order to help identify areas to increase profits and reduce losses. Essential Duties and Responsibilities: Designs and implementation of Regression based predictive models incorporating diverse data types. Integrates state-of-the-art machine learning algorithms as well as the development of new methods. Partners with experimentalists to translate models into testable hypotheses. Develops tools to support analysis and visualization of large datasets. Develops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms. Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers. Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders Analyze, review and track trends and tools in Data Science, Machine Learning, Augmented Intelligence, Artificial Intelligence and IoT space to help in making build/buy/partner recommendations Interacts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineering. Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction. Helps efficiently maintain cloud Infrastructure for research, staging and beta/pilot environment (from costs perspective for working with huge data sets) Mentors, guides, and indirectly leads less experienced Data Scientist peers Drives innovation by fostering open, high energy, collaborative environment; lead participation in innovation summit and expos, recommend relevant training and conference for employees to attend, publish papers and patent disclosures Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models. Minimum Qualifications: Bachelor's in Computer Science, Machine learning, or related discipline. 5+ years experience required. Strong background in statistics, machine learning, deep learning and programming necessary, along with time series forecasting. Hands-on experience with the Azure cloud platform, particularly Azure Databricks. Proficient in large-scale data processing using PySpark and querying with Databricks SQL. Demonstrable experience building and deploying end-to-end ML solutions. Familiarity with CI/CD principles and tools like GitHub Actions, and experience with automated deployment frameworks such as Databricks Asset Bundles. Preferred Qualifications: Master's preferred. Experience in solving large-scale real-world industry problems, preferably in collaboration with cross-functional, multidisciplinary teams. Knowledge of statistical programming techniques and languages (e.g., R, Python, Java, etc.). Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensionality reduction, supervised and unsupervised techniques, Bayesian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, pyclustering, pathways analysis, MLlib). Prior experience with Tensorflow. Prior experience in Natural Language Processing using NLTK. Retail industry experience desired. Experience using cloud compute (e.g. Google Cloud Platform, AWS, Azure). Familiarity with NoSQL databases, graphical analyses, and large-scale data processing frameworks (e.g. Apache Spark). Solid understanding of data structures, software design and architecture.Ability to work independently and take initiative, but also a cooperative team player. Equal Opportunity Employer: Zebra 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 and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $108,960.00 - $163,440.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team . click apply for full job details
11/14/2026
Full time
Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models), Implements Artificial/Augmented Intelligence systems, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse "big data" sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements. The Data Scientist Senior will be a member of a close-knit team of data analysts, data scientists, and software developers analyzing large, multidimensional datasets from internal and external sources. The Data Scientist Senior will develop and apply novel models on customer data in order to help identify areas to increase profits and reduce losses. Essential Duties and Responsibilities: Designs and implementation of Regression based predictive models incorporating diverse data types. Integrates state-of-the-art machine learning algorithms as well as the development of new methods. Partners with experimentalists to translate models into testable hypotheses. Develops tools to support analysis and visualization of large datasets. Develops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms. Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers. Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders Analyze, review and track trends and tools in Data Science, Machine Learning, Augmented Intelligence, Artificial Intelligence and IoT space to help in making build/buy/partner recommendations Interacts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineering. Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction. Helps efficiently maintain cloud Infrastructure for research, staging and beta/pilot environment (from costs perspective for working with huge data sets) Mentors, guides, and indirectly leads less experienced Data Scientist peers Drives innovation by fostering open, high energy, collaborative environment; lead participation in innovation summit and expos, recommend relevant training and conference for employees to attend, publish papers and patent disclosures Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models. Minimum Qualifications: Bachelor's in Computer Science, Machine learning, or related discipline. 5+ years experience required. Strong background in statistics, machine learning, deep learning and programming necessary, along with time series forecasting. Hands-on experience with the Azure cloud platform, particularly Azure Databricks. Proficient in large-scale data processing using PySpark and querying with Databricks SQL. Demonstrable experience building and deploying end-to-end ML solutions. Familiarity with CI/CD principles and tools like GitHub Actions, and experience with automated deployment frameworks such as Databricks Asset Bundles. Preferred Qualifications: Master's preferred. Experience in solving large-scale real-world industry problems, preferably in collaboration with cross-functional, multidisciplinary teams. Knowledge of statistical programming techniques and languages (e.g., R, Python, Java, etc.). Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensionality reduction, supervised and unsupervised techniques, Bayesian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, pyclustering, pathways analysis, MLlib). Prior experience with Tensorflow. Prior experience in Natural Language Processing using NLTK. Retail industry experience desired. Experience using cloud compute (e.g. Google Cloud Platform, AWS, Azure). Familiarity with NoSQL databases, graphical analyses, and large-scale data processing frameworks (e.g. Apache Spark). Solid understanding of data structures, software design and architecture.Ability to work independently and take initiative, but also a cooperative team player. Equal Opportunity Employer: Zebra 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 and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $108,960.00 - $163,440.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team . click apply for full job details
Job Description Senior Data Engineer - AWS Charlotte, NC - Onsite 6 Months+ Required Skills & Qualifications • Data engineering, backend development, or software engineering, with demonstrated hands-on development experience. • Strong hands-on experience with AWS data and cloud services, including services such as S3, Glue, EMR, Lambda, and Redshift. • Proven experience developing and maintaining production-grade APIs and backend services using Java, with a strong understanding of RESTful API design, integration patterns, and error handling. • Strong programming skills in Python, with hands-on experience building reusable modules, backend components, or API integrations. • Hands-on experience with PySpark and distributed data processing, including developing scalable data transformations and optimising data pipelines. • Proficiency in SQL, including complex queries, data transformations, and query performance optimisation. • Strong understanding of object-oriented programming, software design principles, data structures, and maintainable application architecture. • Practical exposure to MCP, LLMs, generative AI, or AI application integration, with an understanding of how AI capabilities can be integrated into APIs and enterprise workflows. • Experience with API testing, debugging, authentication and authorisation, and application integration. • Familiarity with Git, CI/CD pipelines, automated testing, and Agile development practices. • Strong problem-solving, communication, and collaboration skills, with the ability to work independently on complex technical requirements. Preferred Qualifications (Nice to Have) • Experience building AI-enabled applications, LLM-powered workflows, or MCP-based integrations. • Exposure to LLM orchestration frameworks, tool calling, retrieval-augmented generation (RAG), or enterprise AI integration patterns. • Experience with AWS-native AI services and deployment of AI-enabled applications in cloud environments. • Familiarity with API gateways, containerisation, microservices architecture, and application observability. • Experience with data warehousing, distributed computing, Spark performance tuning, and data quality frameworks. Job Responsibilities Key Responsibilities • Design, develop, and optimise scalable data pipelines and data processing workflows using Python, PySpark, and SQL. • Develop, enhance, and maintain production-grade APIs and backend services using Java and Python, with a strong focus on API design, integration, performance, and reliability. • Build and integrate RESTful APIs and microservices to support data-driven applications and enterprise integrations. • Leverage AWS services such as S3, Glue, EMR, Lambda, Redshift, and other relevant cloud-native services to build and manage scalable data engineering solutions. • Work with Model Context Protocol (MCP), Large Language Models (LLMs), and generative AI technologies to develop or integrate AI-enabled applications and workflows. • Implement reusable, maintainable, and scalable code using object-oriented programming principles, design patterns, and established engineering best practices. • Write and optimise complex SQL queries and implement efficient ETL/ELT processes for large-scale data transformations. • Collaborate with data engineers, application developers, architects, data scientists, and business stakeholders to translate requirements into robust technical solutions. • Troubleshoot and resolve issues across APIs, data pipelines, integrations, and cloud-based applications. • Participate in code reviews, automated testing, CI/CD implementation, performance tuning, and production support while adhering to engineering standards.
11/14/2026
Full time
Job Description Senior Data Engineer - AWS Charlotte, NC - Onsite 6 Months+ Required Skills & Qualifications • Data engineering, backend development, or software engineering, with demonstrated hands-on development experience. • Strong hands-on experience with AWS data and cloud services, including services such as S3, Glue, EMR, Lambda, and Redshift. • Proven experience developing and maintaining production-grade APIs and backend services using Java, with a strong understanding of RESTful API design, integration patterns, and error handling. • Strong programming skills in Python, with hands-on experience building reusable modules, backend components, or API integrations. • Hands-on experience with PySpark and distributed data processing, including developing scalable data transformations and optimising data pipelines. • Proficiency in SQL, including complex queries, data transformations, and query performance optimisation. • Strong understanding of object-oriented programming, software design principles, data structures, and maintainable application architecture. • Practical exposure to MCP, LLMs, generative AI, or AI application integration, with an understanding of how AI capabilities can be integrated into APIs and enterprise workflows. • Experience with API testing, debugging, authentication and authorisation, and application integration. • Familiarity with Git, CI/CD pipelines, automated testing, and Agile development practices. • Strong problem-solving, communication, and collaboration skills, with the ability to work independently on complex technical requirements. Preferred Qualifications (Nice to Have) • Experience building AI-enabled applications, LLM-powered workflows, or MCP-based integrations. • Exposure to LLM orchestration frameworks, tool calling, retrieval-augmented generation (RAG), or enterprise AI integration patterns. • Experience with AWS-native AI services and deployment of AI-enabled applications in cloud environments. • Familiarity with API gateways, containerisation, microservices architecture, and application observability. • Experience with data warehousing, distributed computing, Spark performance tuning, and data quality frameworks. Job Responsibilities Key Responsibilities • Design, develop, and optimise scalable data pipelines and data processing workflows using Python, PySpark, and SQL. • Develop, enhance, and maintain production-grade APIs and backend services using Java and Python, with a strong focus on API design, integration, performance, and reliability. • Build and integrate RESTful APIs and microservices to support data-driven applications and enterprise integrations. • Leverage AWS services such as S3, Glue, EMR, Lambda, Redshift, and other relevant cloud-native services to build and manage scalable data engineering solutions. • Work with Model Context Protocol (MCP), Large Language Models (LLMs), and generative AI technologies to develop or integrate AI-enabled applications and workflows. • Implement reusable, maintainable, and scalable code using object-oriented programming principles, design patterns, and established engineering best practices. • Write and optimise complex SQL queries and implement efficient ETL/ELT processes for large-scale data transformations. • Collaborate with data engineers, application developers, architects, data scientists, and business stakeholders to translate requirements into robust technical solutions. • Troubleshoot and resolve issues across APIs, data pipelines, integrations, and cloud-based applications. • Participate in code reviews, automated testing, CI/CD implementation, performance tuning, and production support while adhering to engineering standards.
Job Description Senior Engineer, Machine Learning Compensation: $130,000-$140,000 + 6% Annual Bonus The Senior Engineer, Machine Learning will lead the development, testing, validation, and deployment of machine learning models that improve product performance, installation quality, outage detection, and equipment reliability. This role focuses on analyzing large-scale data generated by millions of deployed meters, sensors, radios, and connected devices to identify performance issues, detect anomalies, and drive actionable solutions. A critical requirement for this position is hands-on experience personally building and training machine learning models, along with implementing anomaly detection algorithms within those models. Candidates must have direct experience developing these models, not simply using existing models or supporting another team's development efforts. Explore the Depth of the Role Machine Learning Model Development Personally build, train, test, and deploy machine learning models, including predictive models, classifiers, and anomaly detection algorithms. Develop time-series data mining and anomaly detection solutions to identify unusual behavior, performance degradation, and potential equipment failures. Design and maintain end-to-end machine learning pipelines, from data preparation and model training through validation, deployment, and production monitoring. Monitor model performance, identify model drift, and implement improvements to maintain accuracy and reliability. Establish testing and validation methods to confirm model results against real-world data. Integrate model outputs into reporting tools and dashboards to support engineering and customer-facing teams. Technical Leadership & Collaboration Lead machine learning projects and investigations, defining technical requirements, scope, schedules, and deliverables. Establish model development standards and validation criteria. Mentor engineers and provide guidance on data preparation, model development, and deployment practices. Collaborate with software developers, data engineers, data scientists, and reliability and quality engineering teams. Communicate technical findings and recommendations to leadership and non-technical stakeholders. Data Infrastructure & Integration Develop and maintain data pipelines integrating internal and external sources, including sensor, carrier network, weather, and manufacturing test data. Work with AWS cloud infrastructure and machine learning platforms, including SageMaker, S3, EC2, ECS, and Glue. Utilize data technologies such as Elasticsearch, Amazon Redshift, and NoSQL databases. Support scalable data architecture and near-real-time analysis of large-scale time-series datasets. Qualifications: Education Bachelor's or Master's degree in Engineering, Mathematics, Statistics, Computer Science, Data Science, Data Analytics, or a related field. Equivalent practical experience may be considered. Required Experience & Technical Skills 5+ years of experience in machine learning, data science, or applied analytics. Demonstrated experience personally building and training machine learning models. Direct experience implementing anomaly detection algorithms within machine learning models you have developed. This is mandatory. Strong proficiency in Python and SQL. Experience with predictive modeling, classification, statistical modeling, and time-series analysis. Experience working with large-scale sensor, IoT, endpoint, or other time-series data. Experience designing, validating, deploying, and monitoring machine learning models in production. Familiarity with GitHub, Jupyter Notebooks, and data visualization tools. Experience with cloud-based machine learning platforms, preferably AWS. Familiarity with Elasticsearch, Amazon Redshift, Grafana, and NoSQL data stores. Preferred Qualifications Experience with IoT devices, meters, sensors, radios, or connectivity equipment. Experience managing machine learning pipelines from development through production monitoring. Understanding of product reliability, device hardware, and failure analysis. Experience integrating third-party data sources into machine learning pipelines. Ability to independently lead technical projects and communicate complex findings. Familiarity with Lean Six Sigma or other continuous improvement methodologies. Competitive Total Rewards Competitive base salary of $130,000-$140,000 plus a 6% annual bonus. Eligible for annual pay increases. Comprehensive health, vision, and dental coverage. 15 days of paid time off plus 11 paid holidays. Retirement savings plan with a 25% employer match on contributions up to 7% of eligible compensation. Additional employer contribution of 5% of eligible compensation to a Defined Contribution account annually. Access to a certified financial planner at no cost. Employer-paid basic life insurance, short-term disability, and Employee Assistance Program. Tuition reimbursement up to $5,250. Voluntary life insurance, long-term disability, accident, and critical illness coverage. Health Savings Account (HSA) and Flexible Spending Account (FSA) options.
11/14/2026
Full time
Job Description Senior Engineer, Machine Learning Compensation: $130,000-$140,000 + 6% Annual Bonus The Senior Engineer, Machine Learning will lead the development, testing, validation, and deployment of machine learning models that improve product performance, installation quality, outage detection, and equipment reliability. This role focuses on analyzing large-scale data generated by millions of deployed meters, sensors, radios, and connected devices to identify performance issues, detect anomalies, and drive actionable solutions. A critical requirement for this position is hands-on experience personally building and training machine learning models, along with implementing anomaly detection algorithms within those models. Candidates must have direct experience developing these models, not simply using existing models or supporting another team's development efforts. Explore the Depth of the Role Machine Learning Model Development Personally build, train, test, and deploy machine learning models, including predictive models, classifiers, and anomaly detection algorithms. Develop time-series data mining and anomaly detection solutions to identify unusual behavior, performance degradation, and potential equipment failures. Design and maintain end-to-end machine learning pipelines, from data preparation and model training through validation, deployment, and production monitoring. Monitor model performance, identify model drift, and implement improvements to maintain accuracy and reliability. Establish testing and validation methods to confirm model results against real-world data. Integrate model outputs into reporting tools and dashboards to support engineering and customer-facing teams. Technical Leadership & Collaboration Lead machine learning projects and investigations, defining technical requirements, scope, schedules, and deliverables. Establish model development standards and validation criteria. Mentor engineers and provide guidance on data preparation, model development, and deployment practices. Collaborate with software developers, data engineers, data scientists, and reliability and quality engineering teams. Communicate technical findings and recommendations to leadership and non-technical stakeholders. Data Infrastructure & Integration Develop and maintain data pipelines integrating internal and external sources, including sensor, carrier network, weather, and manufacturing test data. Work with AWS cloud infrastructure and machine learning platforms, including SageMaker, S3, EC2, ECS, and Glue. Utilize data technologies such as Elasticsearch, Amazon Redshift, and NoSQL databases. Support scalable data architecture and near-real-time analysis of large-scale time-series datasets. Qualifications: Education Bachelor's or Master's degree in Engineering, Mathematics, Statistics, Computer Science, Data Science, Data Analytics, or a related field. Equivalent practical experience may be considered. Required Experience & Technical Skills 5+ years of experience in machine learning, data science, or applied analytics. Demonstrated experience personally building and training machine learning models. Direct experience implementing anomaly detection algorithms within machine learning models you have developed. This is mandatory. Strong proficiency in Python and SQL. Experience with predictive modeling, classification, statistical modeling, and time-series analysis. Experience working with large-scale sensor, IoT, endpoint, or other time-series data. Experience designing, validating, deploying, and monitoring machine learning models in production. Familiarity with GitHub, Jupyter Notebooks, and data visualization tools. Experience with cloud-based machine learning platforms, preferably AWS. Familiarity with Elasticsearch, Amazon Redshift, Grafana, and NoSQL data stores. Preferred Qualifications Experience with IoT devices, meters, sensors, radios, or connectivity equipment. Experience managing machine learning pipelines from development through production monitoring. Understanding of product reliability, device hardware, and failure analysis. Experience integrating third-party data sources into machine learning pipelines. Ability to independently lead technical projects and communicate complex findings. Familiarity with Lean Six Sigma or other continuous improvement methodologies. Competitive Total Rewards Competitive base salary of $130,000-$140,000 plus a 6% annual bonus. Eligible for annual pay increases. Comprehensive health, vision, and dental coverage. 15 days of paid time off plus 11 paid holidays. Retirement savings plan with a 25% employer match on contributions up to 7% of eligible compensation. Additional employer contribution of 5% of eligible compensation to a Defined Contribution account annually. Access to a certified financial planner at no cost. Employer-paid basic life insurance, short-term disability, and Employee Assistance Program. Tuition reimbursement up to $5,250. Voluntary life insurance, long-term disability, accident, and critical illness coverage. Health Savings Account (HSA) and Flexible Spending Account (FSA) options.
Job Description Location : Columbia, MD Atleast 3 days on-site Position Description : The Application Architect (Senior) manages major projects that involve providing professional support services and/or the integration, implementation, and transition of large, complex systems. This individual is responsible for performing the following tasks: The Senior AI Solution Architect designs and deploys scalable AI/ML systems, bridging business needs with technical execution. Key responsibilities include creating data strategies, selecting AI frameworks (e.g., TensorFlow, PyTorch), managing LLMs/pipelines, and providing technical leadership. This role requires 5+ years of experience in IT, machine learning, cloud platforms (AWS/Azure/GCP), and a bachelor's or master's degree in Computer Science or a quantitative field Providing design and development of e-government solutions, and taking responsibility for technical design and implementation of the architecture; Designing, developing, and maintaining infrastructure and backend applications; Providing expertise on defining the role of broadband and wireless applications; Providing definition of current State architecture blueprints; Providing expertise with web servers, gateways, application servers, and content management systems; Providing experience in web application technologies and middleware solutions; Researching new technologies and products for their applicability to business processes; Comparing various solutions and determining the most suitable; and Ensuring that development efforts are well-planned and in compliance to standards. Education: This position requires a Bachelor's degree from an accredited college or university in Engineering, Computer Science, Mathematics, or a related scientific or technical discipline. (Note: A Master's degree is preferred.) General Experience: The proposed candidate must have at least ten (10) years of experience planning, designing, building, and implementing IT application systems. This individual must have led or been chief architect in a major IT applications implementation effort. This individual must also have a strong background in software engineering principles and techniques. Specialized Experience: The proposed candidate must have at least six (6) years of experience in designing medium to large-scale sites, and management of at least five Internet projects. Provide guidance on modernization of legacy applications and refactoring into cloud-native and service-oriented architectures. Maintain technical documentation, architecture decision records (ADRs), and architectural runbooks. Mentor junior architects and senior developers on architectural thinking, scalability, and best practices. Proficient in Python, Java, or C#; familiar with CI/CD for machine learning (MLOps). Strong communication, presentation, and consulting skills for working with stakeholders and executives. Extensive IT Experience: Significant experience in software development, engineering, and IT, often moving up from roles like Data Scientist or Machine Learning Engineer. AI/ML Expertise: Proven experience in running and fine-tuning models (e.g., LLMs, LoRA, RLHF). Cloud & Data: Strong proficiency in cloud computing platforms (AWS, Azure, GCP) and data architecture. Domain Expertise: Often requires experience in specialized areas like healthcare, finance, or security-sensitive environments. At least ten (10) years of experience with architecting multi-tier web solutions At least five (5) years of experience with JavaScript frameworks such as Node.JS Strong programming skills in designing and implementation of multi-tier, distributed and highly scalable applications using Node.JS, Java, J2EE, Spring, JavaScript, Hibernate, JSON. Strong experience in developing and deploying solutions using Node.JS on Linux based AWS EC2 Cloud Infrastructure and Docker container. Experience with modern DevOps automation and modern containerization, orchestration, and virtualization technologies Experience with architecting and developing mobile applications for ios or android platforms is a plus. Experience with Test-Driven Development using automated testing frameworks such as Selenium, Cucumber and Protractor ExpediteInfoTech, Inc. is an Equal Opportunity Employer. Please carefully review the position details, including location, work authorization status and other government contractual requirements.
11/14/2026
Full time
Job Description Location : Columbia, MD Atleast 3 days on-site Position Description : The Application Architect (Senior) manages major projects that involve providing professional support services and/or the integration, implementation, and transition of large, complex systems. This individual is responsible for performing the following tasks: The Senior AI Solution Architect designs and deploys scalable AI/ML systems, bridging business needs with technical execution. Key responsibilities include creating data strategies, selecting AI frameworks (e.g., TensorFlow, PyTorch), managing LLMs/pipelines, and providing technical leadership. This role requires 5+ years of experience in IT, machine learning, cloud platforms (AWS/Azure/GCP), and a bachelor's or master's degree in Computer Science or a quantitative field Providing design and development of e-government solutions, and taking responsibility for technical design and implementation of the architecture; Designing, developing, and maintaining infrastructure and backend applications; Providing expertise on defining the role of broadband and wireless applications; Providing definition of current State architecture blueprints; Providing expertise with web servers, gateways, application servers, and content management systems; Providing experience in web application technologies and middleware solutions; Researching new technologies and products for their applicability to business processes; Comparing various solutions and determining the most suitable; and Ensuring that development efforts are well-planned and in compliance to standards. Education: This position requires a Bachelor's degree from an accredited college or university in Engineering, Computer Science, Mathematics, or a related scientific or technical discipline. (Note: A Master's degree is preferred.) General Experience: The proposed candidate must have at least ten (10) years of experience planning, designing, building, and implementing IT application systems. This individual must have led or been chief architect in a major IT applications implementation effort. This individual must also have a strong background in software engineering principles and techniques. Specialized Experience: The proposed candidate must have at least six (6) years of experience in designing medium to large-scale sites, and management of at least five Internet projects. Provide guidance on modernization of legacy applications and refactoring into cloud-native and service-oriented architectures. Maintain technical documentation, architecture decision records (ADRs), and architectural runbooks. Mentor junior architects and senior developers on architectural thinking, scalability, and best practices. Proficient in Python, Java, or C#; familiar with CI/CD for machine learning (MLOps). Strong communication, presentation, and consulting skills for working with stakeholders and executives. Extensive IT Experience: Significant experience in software development, engineering, and IT, often moving up from roles like Data Scientist or Machine Learning Engineer. AI/ML Expertise: Proven experience in running and fine-tuning models (e.g., LLMs, LoRA, RLHF). Cloud & Data: Strong proficiency in cloud computing platforms (AWS, Azure, GCP) and data architecture. Domain Expertise: Often requires experience in specialized areas like healthcare, finance, or security-sensitive environments. At least ten (10) years of experience with architecting multi-tier web solutions At least five (5) years of experience with JavaScript frameworks such as Node.JS Strong programming skills in designing and implementation of multi-tier, distributed and highly scalable applications using Node.JS, Java, J2EE, Spring, JavaScript, Hibernate, JSON. Strong experience in developing and deploying solutions using Node.JS on Linux based AWS EC2 Cloud Infrastructure and Docker container. Experience with modern DevOps automation and modern containerization, orchestration, and virtualization technologies Experience with architecting and developing mobile applications for ios or android platforms is a plus. Experience with Test-Driven Development using automated testing frameworks such as Selenium, Cucumber and Protractor ExpediteInfoTech, Inc. is an Equal Opportunity Employer. Please carefully review the position details, including location, work authorization status and other government contractual requirements.
LexisNexis Legal & Professional
Horsham, Pennsylvania
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process . click apply for full job details
11/14/2026
Full time
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process . click apply for full job details
CSL Behring seeks a Senior Programmer to build secure, scalable applications that power pharmaceutical R&D and data management. In this role, you will design and implement enterprise software, integrate scientific and clinical systems, and ensure compliance with GxP and data integrity standards. Collaborating closely with researchers and IT teams, you'll translate complex requirements into robust, high-quality code. CSL offers a collaborative, inclusive culture with strong focus on learning, patient impact, and continuous professional development in a cutting-edge biotech environment. Responsibilities Design, develop, and maintain enterprise software supporting pharmaceutical R&D and data management Collaborate with scientists, data managers, and IT teams to translate requirements into robust technical solutions Ensure systems comply with Gx P, data integrity, and security standards Optimize application performance, reliability, and scalability in a regulated environment Mentor junior developers and contribute to code reviews and best practices Integrate laboratory, clinical, and business systems via APIs and data pipelines Participate in Agile ceremonies and drive continuous improvement Document technical designs, validation evidence, and operational procedures Troubleshoot complex production issues and implement sustainable fixes Partner with stakeholders to evaluate new technologies and tools Required Skills Java or C# programming Python scripting SQL and relational databases Cloud platforms (AWS/Azure/GCP) RESTful API design and integration Source control (Git) Agile/Scrum methodologies Data integration and ETL tools Pharmaceutical Gx P/21 CFR Part 11 compliance System design and architecture
09/30/2026
Full time
CSL Behring seeks a Senior Programmer to build secure, scalable applications that power pharmaceutical R&D and data management. In this role, you will design and implement enterprise software, integrate scientific and clinical systems, and ensure compliance with GxP and data integrity standards. Collaborating closely with researchers and IT teams, you'll translate complex requirements into robust, high-quality code. CSL offers a collaborative, inclusive culture with strong focus on learning, patient impact, and continuous professional development in a cutting-edge biotech environment. Responsibilities Design, develop, and maintain enterprise software supporting pharmaceutical R&D and data management Collaborate with scientists, data managers, and IT teams to translate requirements into robust technical solutions Ensure systems comply with Gx P, data integrity, and security standards Optimize application performance, reliability, and scalability in a regulated environment Mentor junior developers and contribute to code reviews and best practices Integrate laboratory, clinical, and business systems via APIs and data pipelines Participate in Agile ceremonies and drive continuous improvement Document technical designs, validation evidence, and operational procedures Troubleshoot complex production issues and implement sustainable fixes Partner with stakeholders to evaluate new technologies and tools Required Skills Java or C# programming Python scripting SQL and relational databases Cloud platforms (AWS/Azure/GCP) RESTful API design and integration Source control (Git) Agile/Scrum methodologies Data integration and ETL tools Pharmaceutical Gx P/21 CFR Part 11 compliance System design and architecture
Job Description Job Description Job Description Technical Team Lead - Business Intelligence Platform Columbia, MD Full Time TS/SCI with Polygraph Required Position: Technical Team Lead (Software Engineer, Level 3) Location: Columbia, MD (on-site) Category: Software Engineering / Technical Leadership / Data Engineering Clearance Requirement: Active TS/SCI with Polygraph Compensation: $200,000 - $250,000 (annualized USD) Experience Requirement: 12+ years with a Bachelor's degree, OR 10+ years with a Master's degree, OR 4 additional years of relevant experience in lieu of a degree Description Serve as the Technical Team Lead for the Mission Intelligence (MI) team, supporting data engineering, analytics, and automation initiatives. The MI team operates a business intelligence platform that enables enterprise-wide, data-driven decision-making. Your primary responsibility is to ensure the reliability, availability, and quality of this high-impact platform. You'll also contribute to the MI team as a systems engineer, software engineer, and analytic developer - designing, developing, and integrating solutions that involve the analysis of large data sets to establish operational visibility and deliver actionable insights. Responsibilities Develop analytics to combine, normalize, and enrich large data sets. Design and implement ETL workflows to convert and normalize data. Augment the platform with new tools or technologies. Gather stakeholder requirements, assess available data, and develop solutions for delivering key metrics. Break down tasks into actionable steps that demonstrate consistent progress. Remove technical obstacles, manage expectations, and support team execution. Define and communicate task scope through clear documentation and tracking systems. Enable the team to integrate Site Reliability Engineering practices into the operational platform. Mentor and guide junior software engineers and data scientists. Produce project management materials such as agendas, meeting notes, and design decision records. Skills Requirements Experience supporting enterprise-scale platforms. Strong Java development skills. Familiarity with authentication and authorization platforms and standards. Experience with service containerization and deployment with Docker/Kubernetes. Familiarity with Git for software version control. Experience with Atlassian Tools (Jira, Confluence). Customer-service mindset. Experience leading technical teams. Effective interpersonal skills for collaborating across diverse backgrounds and skill sets. Experience or exposure to Site Reliability Engineering (SRE) principles. Willingness to contribute to internal and customer-facing documentation. Nice to Haves Experience with Apache NiFi. Experience with Elasticsearch and Kibana. Familiarity with Kubernetes. Knowledge of map-reduce analytic environments (e.g., Hadoop). Python experience. Prior experience in cyber operations or capability development. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 - $250,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.
09/26/2026
Full time
Job Description Job Description Job Description Technical Team Lead - Business Intelligence Platform Columbia, MD Full Time TS/SCI with Polygraph Required Position: Technical Team Lead (Software Engineer, Level 3) Location: Columbia, MD (on-site) Category: Software Engineering / Technical Leadership / Data Engineering Clearance Requirement: Active TS/SCI with Polygraph Compensation: $200,000 - $250,000 (annualized USD) Experience Requirement: 12+ years with a Bachelor's degree, OR 10+ years with a Master's degree, OR 4 additional years of relevant experience in lieu of a degree Description Serve as the Technical Team Lead for the Mission Intelligence (MI) team, supporting data engineering, analytics, and automation initiatives. The MI team operates a business intelligence platform that enables enterprise-wide, data-driven decision-making. Your primary responsibility is to ensure the reliability, availability, and quality of this high-impact platform. You'll also contribute to the MI team as a systems engineer, software engineer, and analytic developer - designing, developing, and integrating solutions that involve the analysis of large data sets to establish operational visibility and deliver actionable insights. Responsibilities Develop analytics to combine, normalize, and enrich large data sets. Design and implement ETL workflows to convert and normalize data. Augment the platform with new tools or technologies. Gather stakeholder requirements, assess available data, and develop solutions for delivering key metrics. Break down tasks into actionable steps that demonstrate consistent progress. Remove technical obstacles, manage expectations, and support team execution. Define and communicate task scope through clear documentation and tracking systems. Enable the team to integrate Site Reliability Engineering practices into the operational platform. Mentor and guide junior software engineers and data scientists. Produce project management materials such as agendas, meeting notes, and design decision records. Skills Requirements Experience supporting enterprise-scale platforms. Strong Java development skills. Familiarity with authentication and authorization platforms and standards. Experience with service containerization and deployment with Docker/Kubernetes. Familiarity with Git for software version control. Experience with Atlassian Tools (Jira, Confluence). Customer-service mindset. Experience leading technical teams. Effective interpersonal skills for collaborating across diverse backgrounds and skill sets. Experience or exposure to Site Reliability Engineering (SRE) principles. Willingness to contribute to internal and customer-facing documentation. Nice to Haves Experience with Apache NiFi. Experience with Elasticsearch and Kibana. Familiarity with Kubernetes. Knowledge of map-reduce analytic environments (e.g., Hadoop). Python experience. Prior experience in cyber operations or capability development. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 - $250,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.
