Top Data & Analytics Jobs in Washington, DC

The AVP, Data Engineer will design and build data ingestion, transformation, and replication pipelines using SQL, Python, dbt, and Dagster. Responsibilities include translating requirements into technical designs, developing data products, debugging production issues, supporting testing, and improving data engineering practices. The role also involves data modeling, mentoring junior engineers, conducting code reviews, and providing technical leadership while remaining hands-on. Experience with modern data platforms, workflow orchestration, cloud ecosystems, and insurance or financial services is preferred.

Leads PBM data integration programs involving claims, eligibility, accumulator, and encounter data. Profiles, maps, validates, and reconciles data using advanced SQL; investigates production issues; designs scalable healthcare integrations; coordinates vendors, engineering, testing, UAT, migration, and deployment readiness; and manages timelines, risks, dependencies, and executive reporting. The role also maintains documentation and operational procedures while directing day-to-day integration work.

Owns data infrastructure, datasets, dashboards, predictive models, and AI-enabled workflows for JLL’s national industrial real estate platform. The role supports investor and occupier business development through analytics, market research, supply-chain mapping, reporting, presentations, and executive insights. Responsibilities include coordinating cross-functional teams, improving data protocols, evaluating technology platforms, automating repetitive analysis, supporting pursuits, and communicating analytical priorities to leadership.

Design and build cloud-agnostic Databricks Lakehouse architectures, scalable ETL/ELT pipelines, and production AI data workflows. Optimize Apache Spark performance, integrate MLflow for model deployment, and implement CI/CD and Infrastructure-as-Code using Terraform or Databricks CLI. Enforce governance, security, and compliance standards through Unity Catalog and cloud platforms. Collaborate with architects, scientists, product managers, and client engineering teams to deliver documented, production-ready solutions.

Analyzes personal lines insurance and digital product performance using SQL, BI tools, statistical methods, and financial modeling. Partners with product, experience, actuarial, finance, and operations teams to identify growth opportunities, optimize digital customer experiences, assess risks, support business cases, and influence leadership decisions. Applies AI and automation to improve analytical efficiency, communicates insights through presentations and reports, and mentors colleagues.

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.

Administer, maintain, monitor, and optimize Microsoft SQL Server and Oracle databases in a federal enterprise environment. Responsibilities include installation, patching, backup and recovery, performance monitoring, access management, security auditing, SQL development, data migration, documentation, incident response through ServiceNow, disaster recovery testing, and on-call support. The role also supports cloud modernization and AWS migration initiatives.

Lead the design and delivery of scalable data solutions, including data pipelines, transformations, metadata frameworks, quality controls, and governance. Collaborate with stakeholders, product owners, and engineering teams to implement requirements, troubleshoot issues, test solutions, and improve engineering practices. Mentor junior engineers, lead proof-of-concepts, support CI/CD and automation, and ensure data architectures meet business and technical needs.

Analyze survey data, apply statistical sampling and analysis methods, prepare reports, charts, and tables, and communicate findings to survey stakeholders. The role supports the Department of State’s Directorate of Passport Services and requires collaboration with survey methodology personnel, technical briefings, and clear written and verbal explanation of statistical results.

Conducts competitive intelligence research and analysis across companies, industries, technologies, markets, and competitors. Delivers actionable insights supporting business development, growth, client retention, and strategic decisions. Monitors trends and key clients, tracks research requests, improves CI processes, supports research-tool implementation, and evaluates legal technologies. Requires strong analytical, written communication, organizational, and collaboration skills, plus proficiency with Microsoft Office and research platforms.