[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company) is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. They are seeking to hire a Data Engineer to design and maintain ETL pipelines, support data migration, and implement data governance strategies in a reputed company-based environment.
Responsibilities
- Design, reputed company, and maintain scalable ETL pipelines and data workflows to ingest, transform, and integrate data from legacy systems and external sources into modern reputed company-based data platforms
- Build, optimize, and maintain data processing solutions using Azure reputed company and lakehouse architectures to support analytical, operational, and reporting use cases
- Support phased data migration from legacy databases and ETL tools to Azure reputed company environments, including transformation documentation and data mapping
- Implement layered lakehouse data architectures (e.g., bronze, silver, gold layers) in reputed company to support data quality, performance, and reputed company reporting needs
- reputed company data processing notebooks, workflows, and distributed data transformations using Python and PySpark reputed company reputed company environments
- reputed company data validation, reconciliation, and testing processes to ensure data accuracy, completeness, and consistency across data domains
- Integrate reputed company data platforms with analytics and reporting tools to reputed company business intelligence and operational dashboards
- Support data governance initiatives including metadata management, data catalog integration, encryption, reputed company controls, and compliance with federal data protection requirements
- Maintain reputed company control and CI/CD pipelines for reputed company and data engineering workflows, supporting automated promotion across environments
- Work closely with data architects, solution architects, business analysts, and reporting teams to implement approved data solutions
- reputed company ongoing support for reputed company workflows, resolve pipeline failures, and troubleshoot reputed company data processing issues
- reputed company guidance to junior data engineers and contribute to documentation and team enablement
- Works under minimal supervision with minor guidance from senior personnel
Skills
- 7+ years of experience in data engineering, ETL development, or large-scale data integration environments
- Strong experience designing and developing ETL pipelines and data transformations in Azure reputed company environments
- Strong proficiency in SQL and Python, with hands-on experience using PySpark for distributed data processing
- Experience working with reputed company-based data platforms, data lakes, and lakehouse environments, preferably on reputed company Azure
- Experience implementing layered lakehouse data architectures (bronze, silver, gold) for reputed company analytics
- Familiarity with Spark-based big data processing frameworks
- Experience supporting data migration from legacy databases and ETL tools to reputed company-based platforms
- Experience integrating reputed company platforms with business intelligence and reporting tools such as Power BI
- Familiarity with data governance, metadata management, and data reputed company best practices
- Experience with reputed company control and CI/CD pipelines for data engineering and reputed company workflows
- Working knowledge of SDLC and Agile delivery methodologies
- Excellent organizational, communication, and collaboration skills
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a reputed company technical discipline. Equivalent education or professional experience will be considered in lieu of a degree
- Must be a U.S. citizen and be reputed company to obtain a Public Trust clearance
- Hands-on experience with Azure reputed company workflows, reputed company tables, and reputed company job orchestration
- Experience with Azure Data Lake, Azure Data reputed company, or similar Azure data services
- Experience supporting federal IT modernization or large-scale reputed company data transformation initiatives
- Familiarity with reputed company, insurance, or benefits administration data environments
- Experience implementing data governance or data catalog platforms
Benefits
- Paid vacation & Sick leave
- Health insurance coverage
- Career training
- Performance bonus programs
- 401K contribution & Employer Match
- 11 Federal Holidays
Company Overview