Senior IT Data Engineer

Job Description

Salary: $70/ hr. - $75/ hr.

Now Hiring: Senior IT Data Engineer

Location: Washington, DC (On-site / Hybrid as required)

Citizenship Requirement: U.S. Citizenship Required

Position Type: Full-Time (Contract)

Period of Performance: Through December 31, 2026 (with potential extension)

Join DAS and Drive Data Innovation in Mission-Critical Environments

Diverse Agile Solutions (DAS) is seeking a highly skilled Senior IT Data Engineer to support the design, development, and optimization of enterprise data platforms within a federal environment. This role is critical to ensuring data integrity, accessibility, and performance across complex systems, enabling data-driven decision-making at scale.

The ideal candidate will have deep experience in building and maintaining modern data pipelines, working with distributed data platforms, and supporting data governance and quality initiatives.

Position Overview

As a Senior IT Data Engineer, you will play a key role in the planning and execution of data management strategies, ensuring the acquisition, control, protection, and enhancement of critical data assets. You will work with diverse data sources, transforming raw data into reliable, high-quality datasets that support analytics, reporting, and operational needs.

You will also be responsible for designing and maintaining scalable data pipelines and ensuring seamless data flow across systems while adhering to best practices in data engineering and DevOps.

Key Responsibilities

Design, develop, and maintain robust, scalable data pipelines to ingest, process, and transform data from multiple sources

Ensure data quality, integrity, and consistency across enterprise data platforms

Facilitate data acquisition and integration from structured and unstructured sources

Build and optimize ETL/ELT processes to support analytics and reporting needs

Monitor and troubleshoot data pipelines and workflows to ensure high availability and performance

Implement and maintain CI/CD pipelines for data engineering workflows

Collaborate with cross-functional teams including developers, analysts, and stakeholders to deliver data solutions

Support data governance, security, and compliance initiatives

Participate in Agile development processes, including Scrum and Kanban ceremonies

Required Qualifications

5+ years of experience in application or data development (Python preferred)

5+ years of experience with data integration and ingestion tools (e.g., Apache NiFi)

Strong experience building and managing data pipelines in Cloudera Data Platform (CDP)

Proficiency in Python and SQL, including tools such as PySpark, pandas, and dbt

Advanced knowledge of distributed data and computing platforms, including:

Apache NiFi

Hadoop ecosystem (MapReduce, Hive, HBase)

Kafka

Apache Spark

Experience with Microsoft SQL Server and relational databases

Familiarity with Java for data processing or integration tasks

Experience with UNIX/Linux environments, including shell scripting

Hands-on experience implementing and maintaining CI/CD pipelines

Strong understanding of data architecture, data modeling, and performance tuning

Preferred Qualifications

Experience working in federal or regulated environments

Familiarity with data governance frameworks and best practices

Experience with cloud-based data platforms (AWS, Azure, or similar)

Strong problem-solving skills and ability to work independently in fast-paced environments

Why Join DAS?

At Diverse Agile Solutions (DAS), we deliver innovative, mission-driven technology solutions to federal clients. Our team thrives on collaboration, technical excellence, and a commitment to delivering high-impact results.

Work on high-visibility, mission-critical systems

Collaborate with top-tier engineering and data professionals

Opportunity for contract extension and long-term engagement

Competitive compensation and professional growth opportunities

If you are a driven data engineering professional ready to make an impact in a federal environment, we encourage you to apply and join the DAS team.

Full-time