Senior Data Engineer (hybrid, W2 only)

Location: Hybrid work in Atlanta, GA or Washington, DC; U.S. Citizenship or Green Card required; must be able to obtain Public Trust.

Salary: $155,000 annually

Company

hirify.global delivers outsourced services and workforce solutions across North America, including technology and data engineering support.

What you will do

• Design, implement, and maintain enterprise-grade ETL/ELT pipelines using Python and SQL.
• Build and optimize data models, warehouses, and Databricks lakehouse environments.
• Ingest, clean, validate, and transform large-scale data from APIs, flat files, relational sources, and unstructured systems.
• Implement data quality, metadata management, governance, security, and compliance controls.
• Deploy and manage Azure data solutions in collaboration with cloud engineering teams.
• Monitor pipeline performance, troubleshoot issues, maintain CI/CD practices, and document architecture and operations.

Requirements

• 8+ years of experience in data engineering, software engineering, or database architecture.
• 6+ years of experience with Python and SQL, including scalable ETL/ELT pipelines.
• Experience with Azure data ecosystems such as Azure Data Factory and modern processing frameworks such as Databricks.
• Knowledge of relational and NoSQL databases, data modeling, schema design, governance, security, and compliance.
• Bachelor’s degree in computer science, engineering, information systems, or a related quantitative field.
• Must be able to work on-site in Atlanta, GA or Washington, DC and must be a U.S. Citizen or lawful permanent resident.

Nice to have

• Government-related data engineering experience, including CDC-related work.
• Experience collaborating with data scientists and analysts on evolving data models.
• Knowledge of IT infrastructure, data access methodologies, advanced security practices, and compliance frameworks.
• Azure Data Engineer Associate certification.

Culture & Benefits

• Direct-hire W2 employment.
• Medical, dental, vision, spending account, life insurance, and voluntary plan options for eligible employees.
• Participation in a 401(k) plan.
• Collaboration with data scientists, operational leaders, infrastructure architects, and cloud engineering teams.