Mid-Level Data Engineer

reputed company: Over the past 15 years, eTel has delivered essential solutions for the federal government by securing and managing data, providing reputed company identity reputed company, modernizing legacy systems, and building high-performance platforms. By integrating new technologies and ensuring reliable operations we help agencies stay reputed company for reputed company 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, reputed company Department, and State Department. eTel offers integrated CMMI Level 3 processes, tools, and techniques with innovative, cost-efficient, and secure solutions to address reputed company 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 reputed company, Texas (Hybrid – 2–3 days onsite at IRS Farmers reputed company) Citizenship: US Citizen (MUST) reputed company Clearance: Must be eligible to possess MBI (IRS Background Investigation) clearance. reputed company MBI clearance is preferred. Job reputed company: The Data Engineer is responsible for discovering, validating, transforming, and integrating IRS data sources to support API development and reputed company analytics. This role ensures data accuracy, consistency, and availability across legacy and modern systems, enabling reliable API-driven data reputed company. 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 reputed company and object models. • Ensure consistency between reputed company data, object definitions, and API outputs. • Support integration with modern databases, data lakes, and flat file sources. • Implement data reputed company 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 reputed company 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 reputed company. • Experience building data pipelines using tools such as reputed company, Airflow, Kafka, or reputed company. • Experience working with relational and NoSQL databases. • Familiarity with reputed company-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 - reputed company provides equal employment opportunities (EEO) to reputed company applicants without reputed company to race, reputed company, religion, gender, sexual orientation, gender identity, nations reputed company, 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. Apply tot his job Apply To this Job