Information Technology & Services, Defense & Space, Government Administration

Mid-Level Data Engineer

RemoteRemoteFull TimeMid-level$90,000–$115,000 /yrPosted 1 month agoVisa sponsorship available

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Required skills

Python
Pandas
SQL
Azure
ETL
Data Validation
Schema Enforcement
Data Governance
API
Microservices

Nice to have

PyTorch
TensorFlow
scikit-learn
NumPy
Microsoft Fabric/Foundry
Machine Learning

Role summary

Everforth ECS is seeking a remote Mid-Level Data Engineer to support the Consumer Product Safety Commission's enterprise data management environment. The role involves designing, developing, and optimizing scalable data pipelines and services on Azure, supporting advanced analytics and machine learning readiness. Key responsibilities include developing ETL workflows with Python and Microsoft frameworks, data ingestion and transformation, implementing data validation and quality checks, supporting Azure data services, designing workflow orchestration, building Python-based data services, developing API endpoints, and ensuring operational reliability. The position also requires applying data governance best practices.

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

Qualifications

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.

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