200 results for Data Engineer Jobs in Reston, VA, US

Utilize SQL and Python to engineer data pipelines, conduct analyses on data sets, build reporting dashboards, manage analytic tooling feature development, consult with business analysts and data SMEs, and collaborate with data engineering teams.

Responsible for developing comprehensive data migration strategies, using Qlik Replicate for real-time data replication, designing and optimizing Talend ETL/ELT pipelines, ensuring data integration across diverse sources into cloud platforms, automating data validation and transformation tasks, perf...

Responsible for designing, developing, optimizing, and maintaining data architecture and ETL pipelines. Develop robust data platforms for analytics, perform ETL on large datasets, create and optimize data pipeline architectures, and support infrastructure and data querying processes in an Agile envi...

KDA Consulting is a Disabled Veteran, Woman-Owned, Certified Disadvantaged Small Business, comprised of a diverse team of professionals driven to tackle the demanding National Defense and Intelligence challenges through IT solutions. We emphasize teamwork and focus on achieving goals to complete del...

Analyze and process large datasets, evaluate technical and scientific data, develop software solutions, implement capabilities, and provide insights to inform intelligence operations. Solve complex problems and identify patterns to enhance intelligence collection strategies. Opportunities for traini...

The Data Engineer will support IT systems at the Department of State by reviewing data policies, developing data pipelines, and creating visualizations using tools such as Tableau and Power BI. Responsibilities include maintaining data governance documentation, coordinating with users to gather requ...

Responsible for designing, developing, and maintaining data pipelines, optimizing systems for data collection and analytics. Collaborates with teams to deliver data products, performs data analysis, and manages custom codebases. Incorporates data governance and security practices.

Develop, optimize, and maintain ETL processes and data pipelines to transform financial data into actionable insights. Utilize Python and SQL for data conditioning and normalization, implement modern data engineering practices, and support scalable solutions in a cloud environment using AWS.

Collaborate with stakeholders to gather requirements and translate them into a scalable data infrastructure. Responsibilities include understanding operational data, optimizing data queries, and ensuring data reliability through root cause analysis and best practices in reporting.

About The OrganizationNow is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, informati...