Data Engineer: Data Wrangling & ML for Distributed Systems

Commerce Solutions Group; City of Albany (NY); On-site; USD 80,000 - 107,000; Part time

Benefits offered by this job

Mentorship

Benefits

Flexible culture

Job summary

Commerce Solutions Group in Albany, NY seeks a Data Engineer specializing in data wrangling to join the technology team. The role blends practical distributed-systems work with hands-on ML tooling, offering a mid-level title with growth as you prove yourself.

The position is a contract engagement with an annual salary range of $80,000 to $107,000. You will own data integrity across XGBoost stores, implement secure auth flows, and help keep systems resilient during peak traffic.

Qualifications

• Proficient in data wrangling and data integrity.
• Experience with Jupyter and ML libraries (XGBoost, LightGBM).
• On-site Albany, NY experience or willing to relocate.

Responsibilities

• Implement secure authentication and authorization flows using Data Wrangling.
• Cut Scikit-learn cold-start times so Commerce Solutions Group functions wake before NY users notice.
• Ensure code quality through automated linting, testing, and static analysis.
• Own data integrity across Commerce Solutions Group's XGBoost stores so Albany numbers never lie.
• Keep the technology Initiative service humming through Albany's holiday traffic surge.
• Build internal tooling that improves developer productivity and velocity.
• Map data flow across Commerce Solutions Group's Jupyter services and spot the leaks.

Skills

Data Wrangling

Mentoring

On-site collaboration

Tools

Jupyter

XGBoost

LightGBM

Job description

Commerce Solutions Group in Albany, NY seeks a Data Engineer specializing in data wrangling to join the technology team. The role blends practical distributed-systems work with hands-on ML tooling, offering a mid-level title with growth as you prove yourself.

The position is a contract engagement with an annual salary range of $80,000 to $107,000. You will own data integrity across XGBoost stores, implement secure auth flows, and help keep systems resilient during peak traffic.