Note: The job is a remote job and is open to candidates in USA. Alta Technology Group is seeking a Senior Data Engineer to support a long term, 100% Remote federal government contract. 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