Mid-Level Data Engineer
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Job Location:
Farmers Branch, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
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 23 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:
- Bachelors 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.
Required Experience:
Manager
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
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