Data Engineer

Data EngineerThe Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence. The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.Essential Responsibilities & DutiesDesign, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams.Minimum Qualifications4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.Prior experience in professional services, engineering, or construction environments is a plus.Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.GEI's Total Rewards Package IncludesMarket-Competitive Compensation, including Eligibility for an Annual Performance BonusPay Range For This Position: $90,000.00 – $150,000.00/yearComprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and MoreWell-Being Program and Paid Parental LeaveCommuter BenefitsHybrid Work Schedules and Cell Phone StipendsGEI University (GEIU) with Continuing Education Assistance and Tuition ReimbursementConnecting Conversation Program with a Focus on Professional Development and Opportunities for AdvancementSupport and Financial Rewards for Publication Awards, Professional Dues, and Professional LicensesPaid Holidays and Generous Paid Time Off ProgramRewards and RecognitionGEI-Funded Profit Sharing and 401(k)Opportunity to be an Owner and Shareholder (Learn more here )A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and InclusionAnd More…PHYSICAL REQUIREMENTSWORK ENVIRONMENTFunctional Demands:SedentaryxLightMediumOtherActivity Level Throughout Workday(check one per row)Physical Activity RequirementsOccasional(0-35% of day)Frequent(33-66% of day)Continuous(67-100% of day)Not ApplicableSittingxStandingxWalkingxClimbingxLifting (floor to waist level) (in pounds)xLifting (waist level and above) (in pounds)xCarrying objectsxPush/pullxTwistingxBendingxReaching forwardxReaching overheadxSquat/kneel/crawlxWrist position deviationxPinching/fine motor skillsxKeyboard use/repetitive motionxTaste orsmell (taste=never)xTalk or hearxAccurate 20/40Very Accurate 20/20Not ApplicableNear VisionxFar VisionxYesNoNot ApplicableColor DiscriminationSensory RequirementsMinimalModerateAccurateNot ApplicableDepth perceptionxHearingxEnvironment RequirementsOccupational Exposure Risk PotentialReasonably AnticipatedNot AnticipatedBlood borne pathogensxChemicalxAirborne communicable diseasesxExtreme temperaturesxRadiationxUneven surfaces or elevationsxExtreme noise levelsxDust/particulate matterxOther (exposure risks):Usual workday hours:x81012Other work hoursGEI is an AA/equal opportunity employer, including disabled and veterans.