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Mid-Level Data Engineer

Job in Richmond, Henrico County, Virginia, 23214, USA
Listing for: Ecstech
Full Time position
Listed on 2026-06-13
Job specializations:
  • IT/Tech
    Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 90000 - 98000 USD Yearly USD 90000.00 98000.00 YEAR
Job Description & How to Apply Below

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, Tensor Flow, 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.
Required Skills
  • 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 Num Py, scikit‑learn, PyTorch, or Tensor Flow.
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.
Salary Range

$90,000‑$98,000

EEO Statement

ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis of 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.

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