[Remote] Senior Data Engineer
Note: The job is a remote job and is open to candidates in USA. Razor is looking for a Senior Data Engineer to support a long term, 100% Remote federal government contract. In this role, you will be responsible for designing, building, and maintaining scalable data solutions in a cloud-based environment, focusing on database management, ETL/ELT pipeline development, data modeling, and performance optimization.
Responsibilities
- Develop new datasets to support fraud identification, audits, and investigations
- Optimize the performance of common database queries
- Create and implement data models to improve database efficiency and usability
- Propose and implement architectural improvements to reduce cloud costs
- Develop, optimize, and maintain ELT/ETL pipelines
- Monitor pipelines to ensure performance and regular data updates
- Collaborate with Cloud Architects to develop new methods of accessing and transporting data
- Assist in the development of dashboards and reports for data visualization and storytelling
- Support ingestion, transformation, and configuration of data in cloud-based data lakes or warehouses
- Analyze and structure unstructured and semi-structured data from SQL and data lake environments
- Partner with data architecture teams to author SOPs for Azure asset creation, maintenance, and monitoring
Skills
- Bachelor's degree in Data Science, Machine Learning, Computer Science, Mathematics, or a related field; OR 10 years of experience in the same fields
- U.S. Citizenship required
- Must be eligible for Public Trust/background investigation
- Minimum five (5) years of hands-on experience in maintaining SQL databases and performing advanced SQL and T-SQL operations
- Minimum five (5) years of hands-on experience in designing, implementing, and maintaining ETL/ELT processes in cloud-based analytics environments
- Minimum three (3) years of hands-on experience in working with Azure Synapse and Azure Machine Learning within a modern data stack
- Minimum three (3) years of hands-on experience in data manipulation using Python with Pandas (required)
- Experience developing reusable and modular code
- Cloud certifications (Azure, AWS, or GCP)
- Experience with PySpark or Polars
- Experience implementing pipelines and infrastructure using code-first approaches (Python SDK, CLI, REST APIs, or Infrastructure as Code tools)
- Experience with source control and CI/CD workflows
- Familiarity with AI coding assistants and large language model (LLM) integration patterns
Benefits
- Medical, dental, and vision insurance
- Paid time off
- Holidays
- 401(k) with company match
- Professional development opportunities
- Other competitive benefits designed to support the health and well-being of our employees
Company Overview