Senior Data Engineer & Analytics Lead: ML & Pipelines

Creative Financial Staffing, LLC; Mishawaka (IN); On-site; USD 90,000 - 115,000; Full time

Job summary

Creative Financial Staffing, LLC is seeking a Senior Data Engineer & Analytics Lead in South Bend, IN to drive ML initiatives and scalable data platforms. You will partner with business and operations leaders to deliver data-driven decisions and owned analytics across the organization.

The ideal candidate translates business needs into technical solutions, builds production-ready data and analytics solutions, and uses data to support growth and efficiency.

Qualifications

• Experience building production data pipelines and analytics solutions.
• 5+ years in Data Engineering, Analytics, or related field.
• Strong SQL and Python proficiency, and ML model deployment experience.
• Experience with BI tools (Power BI, Tableau) and data warehousing.

Responsibilities

• Own ML, advanced analytics, and data engineering initiatives end-to-end.
• Build scalable data infrastructure, pipelines, and reporting.
• Partner with business to translate data into insights and results.
• Drive automation, predictive analytics, and experimentation.
• Establish data quality, governance, and model monitoring practices.
• Communicate findings to technical and non-technical stakeholders.

Skills

SQL

Python

Data pipelines

ML deployment

BI tools

Communication

Power BI

Tableau

Cloud platforms

dbt/Airflow

Education

Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or related field

Master’s degree preferred

Tools

Power BI

Tableau

Snowflake

Azure

AWS

dbt

Airflow

Job description

Creative Financial Staffing, LLC is seeking a Senior Data Engineer & Analytics Lead in South Bend, IN to drive ML initiatives and scalable data platforms. You will partner with business and operations leaders to deliver data-driven decisions and owned analytics across the organization.

The ideal candidate translates business needs into technical solutions, builds production-ready data and analytics solutions, and uses data to support growth and efficiency.