Data Engineer

Role Overview

The Data Engineer will build and maintain data lake and data warehousing solutions for a B2B multi-tenant SaaS solution. Position requires a demonstrated ability to write ETL transformations, query data, and write infrastructure as code. Knowledge of relational databases as well as cloud based databases and T-SQL.

What You Will Do

Participate in the entire data pipeline lifecycle, focusing on building data lakes, data warehouses and related processes. Write clean code to develop data pipelines and necessary infrastructure as code. Collaborate with internal teams to understand requirements and effectively accomplish assigned tasks.

Why It Might Be a Fit

Requires 5 years of related experience in cloud native data offerings and data lakes in a cloud environment. Experienced with relational databases (Postgres, SQL Server) and data modeling principles. In-depth knowledge of the entire data engineering process (design, development, deployment).

Requirements

• 5 years of related experience in cloud native data offerings and data lakes in a cloud environment
• Experienced with relational databases (Postgres, SQL Server) and data modeling principles
• In-depth knowledge of the entire data engineering process (design, development, deployment)
• SQL (SQL Server, Postgres) and Python
• Teamwork skills with a problem-solving attitude and willing to take a variety of approaches
• Excellent analytical and time management skills
• Good written and verbal communication skills, with demonstrated experience providing technical input to technical and non-technical stakeholders
• Proven ability to work cross-functionally with engineering and product teams
• Exposure to legacy data warehouse and ETL pipelines
• Familiar with data architecture and data modeling for data warehousing and analytical purposes.

Benefits

• remote-first environment
• unlimited paid time off
• 401(k) with employer match