Top Data & Analytics Jobs

Build and maintain data ingestion, transformation, and ETL/ELT pipelines; support data modeling, warehousing, quality validation, governance, cloud platform deployment, and analytics environments. Collaborate with analysts, data scientists, and product teams, participate in Agile ceremonies and code reviews, and document data flows, lineage, and standards.

Leads analytics engineering teams and contractors building trusted data capabilities and cross-platform foundations. Establishes standards for data modeling, metrics, testing, governance, and production readiness; owns hiring, coaching, performance management, and capability planning. Prioritizes the analytics portfolio, translates stakeholder needs into deliverable solutions, and partners with IT Engineering on deployment and operations. Guides forecasting, propensity, segmentation, attribution, and responsible adoption of analytics and AI capabilities.

Build and maintain intelligence dashboards, reporting, and analytics products for leadership. Translate business requirements into scalable solutions, deliver executive and resilience reporting, identify trends and risks through predictive analytics, automate manual processes, improve data quality, and partner with stakeholders to align products with evolving business needs.

Own client data onboarding, schema mapping, validation, matching, and production pipeline operations. Build and maintain SQL, Python, and Spark workflows using Databricks and AWS, with orchestration, monitoring, testing, and documentation. Troubleshoot schema drift, source-file issues, credentials, dependencies, and vendor problems. Support routine audience and direct-mail production through suppressions, address hygiene, reconciliation, quality control, and vendor-file preparation while protecting sensitive and regulated data.

Build and operate a governed Snowflake enterprise data warehouse, including ingestion, orchestration, dbt transformations, infrastructure as code, security controls, reliability checks, and CI/CD. Partner with data owners and BI teams during migration from legacy systems, ensure compliance for sensitive financial data, support reconciliation and incident resolution, and mentor engineers. The role requires hands-on ownership of pipelines and platform components across development and production environments.

Manage and develop subsurface data landscapes for Exploration and Production environments. Oversee well and seismic data receipt, loading, conversion, transfer, quality control, archiving, lifecycle management, and corporate repository maintenance. Partner with Geoscience and Data Management teams to enforce data standards, quality, governance, consistency, and regulatory compliance. Provide expert guidance to stakeholders and support subsurface applications and workflows.

Designs, implements, secures, monitors, and optimizes AWS cloud-native data engineering solutions supporting analytics, AI/ML, hosted models, agentic services, and LLMs. Builds ingestion, ETL, transformation, validation, data storage, APIs, search, automation, and monitoring workflows. Applies FinOps, IAM, encryption, network segmentation, Zero Trust, and NIST security controls in a classified DoD environment. Collaborates with government stakeholders and technical teams while documenting architectures, costs, risks, compliance activities, and operating procedures.

Develop scalable data processing and analytics tools for engineering and business data. Translate stakeholder problems into analytical requirements, build end-to-end ETL and relational data solutions, create user interfaces, perform exploratory analysis, detect trends and anomalies, and communicate actionable insights through effective visualizations and reporting. Collaborate with technical and programmatic teams while following production coding, version-control, and development lifecycle practices.

Supports SQL Server databases across production and development environments, ensuring performance, availability, security, and minimal downtime. Responsibilities include monitoring, troubleshooting, backup and disaster recovery, database maintenance, upgrades, change implementation, trend analysis, standards enforcement, and application technology support. The role requires hands-on SQL Server administration, database tuning, Transact-SQL, stored procedures, security management, and experience with large-scale Microsoft SQL environments.

Lead the design, delivery, and modernization of enterprise data solutions on Microsoft Fabric, including lakehouses, warehouses, pipelines, notebooks, and Power BI semantic models. Develop reusable engineering frameworks, establish data modeling and governance practices, support secure and compliant solutions, mentor engineers, partner with stakeholders, and resolve complex platform issues. The role also contributes to architecture, platform roadmaps, testing, documentation, and technical initiative delivery.