Everforth ECS is seeking a Senior Data Engineer to work remotely.
This position is contingent upon contract award.
Everforth ECS is seeking a Senior Data Engineer to lead the design, development, and optimization of scalable enterprise data pipelines and cloud-native data services supporting the U.S. Consumer Product Safety Commission (CPSC). This role will help modernize and stabilize CPSC’s Azure-based data infrastructure while enabling advanced analytics, machine learning, and Sentinel-driven product safety initiatives.
Key Responsibilities- Lead development of production-grade ETL workflows using Python and Microsoft-based technologies.
- Design and optimize scalable ingestion, transformation, and validation pipelines for structured and unstructured datasets.
- Implement schema enforcement, data validation, anomaly detection, and quality assurance frameworks.
- Architect and manage Azure-based data solutions including Azure Data Lake Storage and Azure SQL.
- Design and deploy orchestration workflows using Azure Data Factory and Microsoft Fabric/Foundry.
- Develop Python-based data services leveraging libraries such as Pandas, PyTorch, TensorFlow, and related open-source frameworks.
- Build APIs and microservices supporting interoperability with analytics and AI/ML platforms.
- Implement monitoring, logging, fault tolerance, and performance optimization for large-scale systems.
- Collaborate closely with data scientists, analysts, architects, and governance teams to deliver secure, reliable, and analytics-ready datasets.
- Support Agile development processes and contribute to continuous improvement initiatives.
Salary Range: $165,000-$180,000
General Description of Benefits
Preferred Qualifications- 5+ years of experience developing and deploying advanced statistical, machine learning, or enterprise data pipeline solutions.
- Strong proficiency in Python, including Pandas and related data engineering libraries.
- Strong SQL skills and experience integrating relational database systems.
- Hands-on experience designing and operating solutions in Azure cloud environments.
- Experience developing ETL workflows using Python and Microsoft technologies.
- Experience with schema enforcement, data validation, and quality assurance practices.
- Experience developing APIs and cloud-native data services.
- Familiarity with workflow orchestration tools such as Azure Data Factory.
- Experience with performance optimization, logging, and monitoring for enterprise-scale systems.
- Familiarity with open-source data processing and ML frameworks such as PyTorch, TensorFlow, NumPy, and scikit-learn.
Skills Required
- 5+ years of experience developing and deploying advanced statistical, machine learning, or enterprise data pipeline solutions.
- Strong proficiency in Python, including Pandas and related data engineering libraries.
- Strong SQL skills and experience integrating relational database systems.
- Hands-on experience designing and operating solutions in Azure cloud environments.
- Experience developing ETL workflows using Python and Microsoft technologies.
- Experience with schema enforcement, data validation, and quality assurance practices.
- Experience developing APIs and cloud-native data services.
- Familiarity with workflow orchestration tools such as Azure Data Factory.
- Experience with performance optimization, logging, and monitoring for enterprise-scale systems.
- Familiarity with open-source data processing and ML frameworks such as PyTorch, TensorFlow, NumPy, and scikit-learn.
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.
