Mid-Level Data Engineer

ecsfederal; Virginia (MN); Hybrid; USD 90,000 - 115,000; Full time

Benefits offered by this job

Public Trust clearance eligibility

Job summary

Everforth ECS is seeking a Mid-Level Data Engineer to design, develop, and optimize scalable data pipelines for the Consumer Product Safety Commission's Azure-based infrastructure. You will enable analytics and ML readiness while ensuring data quality and governance.

Collaborating with data scientists, analysts, and governance teams, you will implement ETL processes, schemas, and validation, leveraging Python, Pandas, and Azure services in a remote work setup.

Qualifications

• 3+ years of experience developing or supporting advanced statistical, ML, or data pipeline solutions.
• Proficiency in Python, including Pandas.
• Strong SQL skills and experience integrating relational data sources.
• Hands-on experience with Azure cloud environments.
• ETL development using Python and Microsoft technologies.
• Experience with data validation, schema enforcement, and quality assurance.
• Familiarity with NumPy, scikit-learn, PyTorch, or TensorFlow.

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.

Tools

Python

Pandas

PyTorch

TensorFlow

Azure Data Factory

Microsoft Fabric/Foundry

Azure Data Lake Storage

Azure SQL

NumPy

scikit-learn

Job description

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

• 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.