Data Engineer

We are looking for Data Engineering and Analytics Engineering professionals interested in exploring new opportunities with growing organizations across the Pittsburgh market. We are partnering with multiple companies that are investing in modern data platforms, cloud infrastructure, and enterprise analytics initiatives.

Location: Pittsburgh, PA (Hybrid, Remote, and Onsite Opportunities Available) Compensation: $80,000 - $160,000+ depending on experience and position Schedule: Full-Time

Opportunities May Include:

• Data Engineer
• Senior Data Engineer
• Analytics Engineer
• Data Platform Engineer
• Data Warehouse Engineer
• Cloud Data Engineer
• ETL/ELT Developer
• Data Architect
• Lead Data Engineer

Responsibilities:

• Design, develop, and maintain scalable data pipelines and data platforms
• Build and optimize ETL/ELT processes supporting analytics and business operations
• Develop and manage cloud-based data solutions and data warehouses
• Partner with analytics, business, and technology teams to deliver trusted data products
• Ensure data quality, reliability, governance, and performance across enterprise environments
• Automate data workflows and support modern data engineering best practices
• Support reporting, analytics, AI, and machine learning initiatives through effective data architecture

Qualifications:

• Experience in data engineering, analytics engineering, or data platform development
• Strong SQL and Python skills
• Experience with Snowflake, Databricks, Redshift, BigQuery, Synapse, or similar platforms
• Experience with AWS, Azure, or Google Cloud
• Knowledge of modern ETL/ELT tools and data orchestration platforms
• Strong understanding of data modeling, warehousing, and analytics infrastructure
• Ability to work with both technical and business stakeholders
• Bachelor's degree in a related field preferred

If you're interested in learning more about current or upcoming Data Engineering and Analytics Engineering opportunities, we'd love to connect.