Mid-Level Data Engineer

Company Overview:

Over the past 15 years, eTel has delivered essential solutions for the federal government by securing and managing data, providing scalable identity access, modernizing legacy systems, and building high-performance platforms. By integrating new technologies and ensuring reliable operations we help agencies stay prepared for future challenges As a premier technology solutions and services company to the US federal government, eTel possesses longstanding relationships across the federal civilian marketplace. Other customers include the broader Treasury Department, Commerce Department, and State Department.

eTel offers integrated CMMI Level 3 processes, tools, and techniques with innovative, cost-efficient, and secure solutions to address complex challenges. eTel also holds ISO 9001:2015, ISO/IEC 27001:2013, and ISO/IEC 20000-1:2018 certifications, and offers dedicated subject matter experts (SMEs) and thought leaders that possess a deep understanding of customers' environments and challenges.

Location: Farmers Branch, Texas (Hybrid – 2–3 days onsite at IRS Farmers Branch)

Citizenship: US Citizen (MUST)

Security Clearance: Must be eligible to possess MBI (IRS Background Investigation) clearance. Active MBI clearance is preferred.

Job Summary:

The Data Engineer is responsible for discovering, validating, transforming, and integrating IRS data sources to support API development and downstream analytics. This role ensures data accuracy, consistency, and availability across legacy and modern systems, enabling reliable API-driven data access.



Key Responsibilities:

• Discover and validate legacy and modern IRS data sources.
• Design and implement ETL and ELT pipelines supporting API services.
• Map and document data elements and object models.
• Ensure consistency between source data, object definitions, and API outputs.
• Support integration with modern databases, data lakes, and flat file sources.
• Implement data quality checks and validation routines.
• Collaborate with API developers to ensure data models support API design.
• Support automated testing and regression validation of data-driven services.
• Contribute to data documentation, validation logs, and performance reports.
  
  
  
  

Required Qualifications:

• Bachelor's degree in Computer Science, Data Engineering, or related field, or equivalent experience.
• 3 to 5 or more years of experience in data engineering or backend data systems.
• Strong skills in SQL and Python or Scala.
• Experience building data pipelines using tools such as Spark, Airflow, Kafka, or Databricks.
• Experience working with relational and NoSQL databases.
• Familiarity with cloud-based data platforms.
  
  
  
  

Preferred Qualifications:

• Experience supporting analytics, AI, or machine learning pipelines.
• Familiarity with data governance, metadata management, or data cataloguing.
• Experience working with federal data systems or regulated data environments.
  
  

Commitment to Diversity -

eTelligent Group provides equal employment opportunities (EEO) to all applicants without regard to race, color, religion, gender, sexual orientation, gender identity, nations origin, age, disability, genetic information, marital status, amnesty, status as a covered veteran, and any other characteristic provided in accordance with applicable, federal, state and local laws.