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.
- 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-$98,000
General Description of Benefits
Preferred Qualifications- 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.
Skills Required
- 3+ years of experience developing advanced statistical or data pipeline solutions
- Proficiency in Python and Pandas
- Strong SQL skills with relational databases
- Experience with Azure cloud environments
- Experience with ETL development using Python and Microsoft technologies
- Experience with data validation and schema enforcement
- Familiarity with open-source data processing libraries
ECS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ECS and has not been reviewed or approved by ECS.
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Healthcare Strength — ECS advertises multiple national-network medical plan options with HSA eligibility alongside dental and vision coverage. Coverage generally begins quickly and is paired with company-paid short- and long-term disability, adding stability to the health package.
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Retirement Support — A 401(k) with Safe Harbor and immediate vesting on employer contributions is emphasized, with an employer match available. Access to an employee stock purchase plan via the parent company provides an additional savings avenue.
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Parental & Family Support — Paid parental leave up to 30 days, adoption assistance, and other family-oriented leaves are highlighted. Feedback suggests these offerings add meaningful value beyond base pay for many roles.
ECS Insights
What We Do
ECS, a segment of ASGN (NYSE: ASGN), delivers advanced solutions and services in cloud, cybersecurity, artificial intelligence (AI), machine learning (ML), application and IT modernization, and science and engineering. The company solves critical, complex challenges for customers across the U.S. public sector, defense, intelligence and commercial industries. ECS maintains partnerships with leading cloud, cybersecurity, and AI/ML providers and holds specialized certifications in their technologies. Headquartered in Fairfax, Virginia, ECS has more than 3,400 employees throughout the U.S. and has been recognized as a Top Workplace by The Washington Post for the last five years.
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