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4 results for Data Engineer I in Washington, DC

Data Engineer

Arlington, VA
onsite
Permanent / Full Time
150000 - 190000 USD / Yearly
We are looking for a Data Engineer to join a team building dependable, scalable data solutions in Arlington, Virginia. This role focuses on designing modern data pipelines, improving the reliability of data platforms, and supporting analytics and operational needs across the business. The ideal candidate brings strong engineering depth, experience with cloud-based data ecosystems, and the ability to work closely with cross-functional partners to deliver high-quality data products. Responsibilities: • Design, build, and maintain scalable data pipelines and processing workflows that support reliable access to business-critical data. • Develop reusable data platforms and automation solutions that improve the efficiency, consistency, and performance of data operations. • Produce clear, maintainable, and well-documented code for data integration, transformation, and platform services. • Establish automated validation and testing practices to monitor accuracy, completeness, and overall data quality. • Partner with architects, product leaders, data scientists, and DevOps teams to deliver resilient data systems aligned with technical and business goals. • Assess new data sources, determine their value and fit, and implement effective ingestion approaches. • Deploy and integrate data management capabilities within enterprise or client environments while meeting operational requirements. • Strengthen data protection and continuity by identifying risks, supporting backup strategies, and contributing to recovery planning. • Build and support data storage solutions such as warehouses, lakes, and operational repositories for reporting and advanced analytics.
2026-07-20T00:00:00Z

Machine Learning Engineer

Herndon, VA
onsite
Temporary / Contract
70 - 75 USD / Hourly
Machine Learning EngineerPay: $70-75/hr, available solely on W2 BasisConsultant I (Contractor)Work Location: Reston, VA (4x onsite)Engagement Type: 34 Week Contract, Potential for Extension or ConversionPosition OverviewWe are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real‑world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.Key Responsibilities<ul><li>Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases</li><li>Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion</li><li>Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC</li><li>Optimize models for performance, speed, reliability, and scalability</li><li>Collaborate with cross‑functional teams to support data‑driven solutions</li></ul>
2026-07-28T00:00:00Z

Database Management IV

Washington, DC
onsite
Temporary / Contract
45 - 50 USD / Hourly
We are looking for an experienced Database Management IV specialist with strong attention to detail to support complex database administration initiatives. This long-term contract position is suited for a senior specialist who can guide database design, strengthen data reliability, and help deliver high-impact technical outcomes across multiple functions. The role calls for strong judgment, clear communication, and the ability to resolve advanced database challenges while collaborating with internal stakeholders and external partners. Responsibilities: • Lead the planning, design, and ongoing administration of database environments to support business and program objectives. • Create and maintain database structures, technical documentation, and operational standards that promote stability, security, and scalability. • Monitor data quality and enforce controls that protect accuracy, consistency, and overall integrity across database systems. • Oversee backup, recovery, and restoration practices to ensure business continuity and dependable system performance. • Evaluate existing database tools and platforms, recommending improvements, upgrades, and optimization opportunities where needed. • Troubleshoot complex database issues that affect multiple teams or technical areas and develop effective long-term solutions. • Partner with cross-functional teams, client representatives, and third-party vendors to align database solutions with project requirements. • Provide technical guidance, knowledge sharing, and process support to team members while influencing sound implementation approaches.
2026-07-21T00:00:00Z

Systems Engineer

Baltimore, MD
onsite
Permanent / Full Time
80000 - 100000 USD / Yearly
We are looking for a Systems Engineer to support and enhance a mixed infrastructure environment in Baltimore, Maryland. This role focuses on maintaining stable server operations, strengthening security and access controls, and contributing to cloud-connected solutions across on-premises and Microsoft platforms. The ideal candidate brings hands-on experience with Windows-based systems administration, a strong understanding of core infrastructure services, and a practical approach to reliability and continuous improvement. Responsibilities: • Oversee daily administration of Windows and Linux servers to ensure dependable performance, availability, and system health. • Manage core identity and policy services, including Active Directory and Group Policy, while maintaining secure and consistent access controls. • Support and maintain virtual infrastructure across platforms such as VMware and Hyper-V to meet operational and business needs. • Provide technical support for Azure and Microsoft 365 environments, helping maintain connectivity and functionality across hybrid systems. • Contribute to cloud adoption efforts by assisting with hybrid deployments and migration-related infrastructure tasks. • Monitor server performance, patch compliance, and overall platform reliability, taking action to resolve issues before they impact users. • Handle complex troubleshooting for escalated server and infrastructure incidents, identifying root causes and restoring service efficiently. • Strengthen operational resilience by improving automation, backup procedures, and disaster recovery readiness. • Keep technical documentation current and establish configuration standards that promote consistency, security, and scalability.
2026-07-28T00:00:00Z