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5 results for Data Engineer in Baltimore, MD

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

Cloud Engineer

Washington, DC
onsite
Temporary / Contract
55 - 60 USD / Hourly
Senior Cloud Engineer – Observability & Performance EngineeringLocation: Washington, DC 20549Work Arrangement: Fully OnsiteClearance Requirement: Ability to obtain and maintain Public Trust Position OverviewWe are seeking a highly experienced Cloud Engineer (Observability) to lead the engineering, optimization, and operational maturity of enterprise observability platforms across hybrid cloud and containerized environments.This role is ideal for a hands-on engineer with deep expertise in Datadog, distributed tracing, APM, cloud monitoring, performance engineering, and site reliability practices. The successful candidate will partner with infrastructure, cloud, platform, and application teams to improve operational visibility, reduce alert fatigue, accelerate incident resolution, and drive data-informed operational decisions. Key ResponsibilitiesObservability Platform Engineering<ul><li>Engineer and operate enterprise observability solutions including:</li><li>Metrics</li><li>Logs</li><li>Distributed tracing</li><li>APM</li><li>Real User Monitoring (RUM)</li><li>Synthetic monitoring</li><li>Network monitoring</li><li>Build and optimize dashboards, alerts, SLOs, and SLIs</li><li>Implement OpenTelemetry and language-specific instrumentation</li><li>Integrate observability tooling with ServiceNow, CI/CD pipelines, and incident management workflows</li><li>Establish and maintain telemetry tagging standards and governance</li></ul>Cloud & Container Monitoring<ul><li>Design monitoring solutions for Azure and AWS workloads</li><li>Implement observability for:</li><li>Serverless services</li><li>Managed databases</li><li>Networking</li><li>Identity services</li><li>Cloud-native platforms</li><li>Support Kubernetes and OpenShift monitoring including clusters, nodes, workloads, and service mesh environments</li><li>Develop reusable observability modules using Infrastructure-as-Code</li></ul>Performance Engineering & Reliability<ul><li>Lead investigation and remediation of performance, latency, reliability, and capacity issues</li><li>Utilize APM, profiling, distributed tracing, and database analytics to identify bottlenecks</li><li>Define trace-based alerting and deployment correlation strategies</li><li>Support major incident response activities and root cause analysis efforts</li></ul>Capacity Planning & Operational Excellence<ul><li>Analyze telemetry and capacity trends to identify risks and opportunities</li><li>Develop reporting and dashboards for leadership and engineering teams</li><li>Improve alert quality, monitoring coverage, and operational maturity</li><li>Support enterprise SLA, KPI, and availability objectives</li></ul>
2026-07-13T00:00:00Z

Cloud Engineer

Herndon, VA
onsite
Permanent / Full Time
150000 - 185000 USD / Yearly
We are looking for a Cloud Engineer to help create resilient, modern cloud solutions that support large-scale, event-driven workloads in Northern, Virginia. This position combines technical architecture, hands-on engineering, and close collaboration with stakeholders to deliver secure, high-performing systems. The role is ideal for someone who can balance strategic thinking with practical execution while guiding teams and strengthening client partnerships. Responsibilities:• Create and refine cloud-native, serverless solutions designed to support high-throughput data processing and event-based applications.• Work directly with stakeholders to understand operational goals, identify limitations, and recommend effective technical approaches.• Provide technical guidance to decision-makers by evaluating options, outlining risks, and helping resolve complex engineering issues.• Build trusted relationships with clients and contribute to team growth through mentorship, collaboration, and technical leadership.• Remain actively involved in delivery by participating in architecture reviews, overseeing implementation quality, and developing prototypes when needed.• Investigate production issues and optimize system reliability, scalability, and overall performance across cloud environments.
2026-06-25T00:00:00Z

Data Analysis Manager

Washington, DC
onsite
Permanent / Full Time
80000 - 100000 USD / Yearly
We are looking for an Data Analysis Manager to support a economic consulting team with data-driven research and client-focused analysis in Washington, District of Columbia. This position is ideal for an early-career candidate with strong quantitative skills who enjoys working with large public datasets and translating findings into clear, useful insights. The role offers the opportunity to contribute to reports, presentations, and policy-related research in a collaborative environment with economists and consulting staff. Responsibilities:• Gather information from publicly available databases, prepare datasets for use, and perform detailed quantitative analysis to support consulting engagements.• Develop accurate and timely materials for clients, ensuring project updates and final outputs are delivered in a clear and effective manner.• Interpret data trends and economic findings to help inform client decisions related to policy matters and market developments.• Produce written content such as research summaries, reports, thought leadership pieces, and other analytical documents.• Communicate project progress and findings to clients through calls, virtual presentations, and in-person discussions when needed.• Partner with senior economists and other team members on research tasks, data requests, and day-to-day project coordination.• Create charts, tables, and presentation materials that communicate complex information in an accessible format using Excel and PowerPoint. All interested candidates in the Data Analysis Manager opportunity and other full time opportunities in the Washington, D.C. area please send your resume to Justin Decker via LinkedIn
2026-07-08T00:00:00Z

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