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Mid-Level Data Engineer

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Hybrid

Mid-Level Data Engineer

ECS

Mid-Level Data Engineer

Skills

SQL QueriesData EngineeringPythonData ScienceTesting & QAMicroservicesNumPypandasPyTorchTensorFlowCybersecurityData AnalysisMachine LearningAIComplianceAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Richmond, VA, USA

Work mode:

Hybrid

Published on:

12 August 2026

What they need


Everforth ECS is seeking a Mid-Level Data Engineer to work remotely .

Everforth ECS is seeking a Mid-Level Data Engineer to support the design, development, and optimization of scalable data pipelines and services for the Consumer Product Safety Commission enterprise data management environment. This role will support advanced analytics, machine learning readiness, and modernization of CPSC’s Azure-based data infrastructure.

Key Responsibilities

  • Develop production-grade ETL workflows using Python and Microsoft-based frameworks.
  • Ingest, transform, and validate structured and unstructured data.
  • Implement schema enforcement, data validation, and quality checks.
  • Support Azure Data Lake Storage, Azure SQL, and Azure-based data services.
  • Design workflow orchestration using Azure Data Factory or Microsoft Fabric/Foundry.
  • Build Python-based data services using Pandas, PyTorch, TensorFlow, and related libraries.
  • Develop API endpoints and microservices to support analytics and ML platform interoperability.
  • Implement logging, monitoring, performance tuning, and operational reliability.
  • Collaborate with data scientists, analysts, architects, and governance teams.
  • Apply data governance best practices for compliance, reproducibility, and auditability.

Salary Range: $90,000-$115,000 General Description Of Benefits Required Skills

  • Ability to obtain agency Public Trust clearance.
  • 3+ years of experience developing or supporting advanced statistical, machine learning, or data pipeline solutions.
  • Proficiency in Python, including Pandas.
  • Strong SQL skills and experience integrating relational database sources.
  • Hands-on experience with Azure cloud environments.
  • Experience with ETL development using Python and Microsoft technologies.
  • Experience with data validation, schema enforcement, and quality assurance.
  • Familiarity with open-source data processing libraries such as NumPy, scikit-learn, PyTorch, or TensorFlow.

Desired Skills

  • Bachelor’s, Ph.D., or equivalent professional experience in Data Science, Computer Science, Statistics, Engineering, or related field.
  • Microsoft Data Engineer certification or related Azure certification.
  • Knowledge of scalable, secure data engineering patterns in regulated environments.

#EverforthECS1 ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law. Everforth ECS is the federal segment of Everforth , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.

Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.

We Value

  • Attracting and developing top talent and high-performing teams
  • Fostering a culture that is engaging, accountable, and mission-driven

Meet the challenge. Make a difference with Everforth ECS!

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