Concurrent Technologies Corporation Logo

Concurrent Technologies Corporation

Data Systems Engineer

Posted 6 Days Ago
Remote
Hiring Remotely in United States
120K-140K Annually
Senior level
Remote
Hiring Remotely in United States
120K-140K Annually
Senior level
Designs and maintains enterprise data integrations, metadata pipelines, APIs, workflows, data models, catalogs, and governance solutions. Resolves data quality and interoperability issues, documents technical processes, and collaborates with developers, data stewards, analysts, and governance stakeholders. Independently manages technical workstreams from requirements through implementation, testing, troubleshooting, and documentation. The role requires SQL, relational database, data modeling, cloud platform, API, and structured data experience, plus eligibility for a Secret clearance and DoD CAC.
The summary above was generated by AI

Data Systems Engineer

Concurrent Technologies Corporation

Remote position – United States – Preferred Location: DC metro area

Minimum Clearance Required: N/A

Clearance Level Must Be Able to Obtain: Secret

Background Investigation Required


As a trusted partner and leader in providing energy and sustainability consulting services to the federal government, Concurrent Technologies Corporation (CTC) understands the increasing complexity of achieving energy security and data management in a changing world. As part of the Energy, Resilience and Sustainability (ERS) Division, you will collaborate with experts to provide comprehensive policy, planning, and implementation services to deliver solutions that address critical infrastructure resilience and security, and data management issues and support the military mission, while reducing environmental impacts. We take our role seriously, as our efforts ensure our installations and assets are prepared in any operating environment, present and future.

Key Responsibilities:

  • Design, implement, and maintain data integrations across enterprise systems, platforms, and repositories
  • Develop and maintain metadata pipelines, automated workflows, and API-based data exchanges supporting system interoperability
  • Integrate source system metadata with enterprise data catalogs and governance platforms
  • Design and maintain data models to include schemas, relationships, and metadata supporting enterprise data governance capabilities, including data classification and lineage
  • Map entity relationship diagrams and data flows that outline relationships, transformations, and dependencies across business tools
  • Identify, investigate, and resolve data quality, consistency, integration, and interoperability issues
  • Document system integrations, data flows, metadata models, and technical processes
  • Work alongside the Power Platform Developer to integrate data model(s), metadata, and governance requirements into technical solutions
  • Collaborate with data stewards, analysts, system owners, developers, and governance stakeholders to translate business and data governance requirements into technical solutions
  • Independently own technical workstreams from problem definition and requirements through solution design, implementation, testing, troubleshooting, and documentation


Basic Qualifications:

  • Bachelor’s degree in Information Systems, Computer Science, Data Science, Engineering, Mathematics, Business Analytics, or a related field.
  • 5-8 years of experience in systems engineering, data integration, data management, IT systems support, or data platform administration.
  • Ability to independently translate requirements into technical solutions through implementation
  • Ability to independently identify and resolve technical challenges with minimal oversight
  • Working knowledge of SQL, relational databases, data modeling, and database relationship
  • Experience designing, developing, implementing, or maintaining system integration or data pipelines
  • Familiarity with cloud-based platforms (Azure preferred)
  • Exposure to APIs and structured data formats (JSON/XML)
  • Experience documenting systems, workflows, or technical processes
  • Ability to work in a fast-paced environment and manage multiple ongoing projects. 
  • Ability to obtain and maintain a Department of Defense (DoD) Common Access Card (CAC). 
  • Ability to obtain and maintain as US Government Secret Security Clearance Secret or higher)
  • Independently manages tasks from requirement through implementation
  • Proactively resolving challenges with minimal oversight
  • Strong analytical and problem-solving skills
  • Ability to work across technical and business teams
  • Strong written documentation skills
  • Ability to communicate technical concepts to technical and non-technical stakeholders
  • Ability to independently own technical workstreams within a collaborative environment


Preferred Qualifications:

  • Active Secret Security Clearance
  • Supporting Department of War or Federal Government enterprise systems, data platforms, or integration environment.
  • Operationalizing data governance initiatives through metadata management, data cataloging, system integration, data quality, or technical workflows Working with enterprise data catalogs (Microsoft Purview, Collibra, Alation)
  • Exposure to data quality tools or metadata management platforms
  • Developing or implementing metadata or database models, data inventories, data catalogs, or governance workflows
  • Creation of entity relationship diagrams (ERDs) for database management
  • Experience with Microsoft Dataverse, Power Platform, or similar low-code application/data platforms
  • Integrating data from disparate enterprise systems, databases, APIs, files, or other structured data sources
  • Experience in government, defense, utilities, or regulated environments
  • Microsoft Certified: Azure Fundamentals (AZ-900)
  • Microsoft Certified: Azure Data Fundamentals (DP-900)
  • Microsoft Power Platform Fundamentals (PL-900)
  • CompTIA Data+
  • CompTIA Security+
  • AWS Certified Cloud Practitioners


Benefits:

  • The starting salary range for this position has been established as $120,000 – $140,000
  • Medical Insurance and Prescription
  • Dental Insurance
  • Vision Insurance
  • Life and AD&D Insurance
  • Short-Term/Long-Term Disability Insurance
  • Employee Assistance Program (EAP)
  • Voluntary Critical Illness and Accident Insurance
  • Tuition Reimbursement Assistance
  • Paid Leave
  • Paid Holidays
  • Bereavement Leave
  • Retirement Plan

The Concurrent Technologies Corporation pay range for this job level is a general guideline and not a guarantee of compensation or salary.


Why CTC?

  • Our teams at CTC are passionate and thrive on collaboration in a team environment.
  • When we encounter a difficult problem, we have a variety of talented and diverse employees that work together to solve the toughest challenges.
  • Competitive salary and benefits package
  • Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life.
  • Visit www.ctc.com to learn more.


Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work.

https://concurrent-technologies-corporation.breezy.hr

Staffing Requisition: SR# 2026-0126

“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.”

Similar Jobs

6 Days Ago
In-Office or Remote
CA, USA
277K-415K Annually
Expert/Leader
277K-415K Annually
Expert/Leader
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Build and operate production machine learning systems for ranking, retrieval, recommendations, search, propensity, churn, LTV, and next-best-action decisioning. Design reliable signal contracts covering freshness, provenance, confidence, eligibility, and calibration. Lead feature pipelines, model serving, experimentation, monitoring, and feedback loops while evaluating fairness, risk, compliance, trust, and long-term customer impact. Collaborate across product, growth, data, platform, modeling, risk, and compliance teams.
Top Skills: Ai AgentsBatch PipelinesData LakehousesData WarehousesEmbeddingsEvent StreamsExperimentation SystemsFeature StoresJavaKotlinKubernetesLarge Language ModelsLightgbmModel-Serving InfrastructureObservability ToolingPythonPyTorchRecommendation SystemsSemantic SearchSQLTensorFlowWorkflow OrchestrationXgboost
7 Days Ago
Remote or Hybrid
CA, USA
277K-415K Annually
Expert/Leader
277K-415K Annually
Expert/Leader
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Build and operate production machine learning systems for ranking, retrieval, recommendations, search, propensity, churn, lifecycle intelligence, and next-best-action decisioning. Design reliable signal contracts with freshness, provenance, confidence, and calibration guarantees. Lead experimentation, monitoring, feedback loops, and impact evaluation focused on fairness, trust, risk, compliance, and long-term engagement. Partner across product, growth, data, platform, modeling, risk, and compliance teams.
Top Skills: JavaKotlinKubernetesLightgbmPythonPyTorchSQLTensorFlowXgboost
2 Days Ago
Remote or Hybrid
United States of America
Senior level
Senior level
Big Data • Cloud • HR Tech • Payments • Software
Designs and builds production data systems, pipelines, database schemas, analytical models, and internal platforms. Responsibilities include writing tested code, optimizing queries and storage, controlling infrastructure costs, enforcing CI/CD, and implementing data testing, monitoring, and alerting. The role also develops AI and LLM-backed data use cases, including retrieval pipelines, embeddings, vector storage, evaluation harnesses, and agentic workflows.
Top Skills: Apache IcebergAzure SqlCi/CdClaude CodeCloudflare PipelinesCursorDatabricksDuckdbGithub CopilotParquetPosthogPythonR2SnowflakeSQLTerraformTypescript

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account