Python Data Engineer — Hybrid, ML & ETL Pipelines

MDMi; Indianapolis (IN); Hybrid; USD 110,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Dental insurance

Vision insurance

401(k) with company match

Hybrid location

Collaborative team environment

Professional development

Job summary

MDMi is seeking Data Engineers to join our Software + Solutions Developer team and work with experts to design, build, and implement scalable data architectures and processing pipelines for STEM data management. You will create batch and streaming data solutions across hybrid environments, emphasizing security and reliability.

You will collaborate with data scientists, software developers, and clients, applying Spark, Delta Lake, Python, SQL, and APIs to enable analytics and automated

Qualifications

• Proficiency in Python and Spark for data engineering.
• Strong SQL and Delta Lake for reliable data storage and retrieval.
• Experience building ETL pipelines and data warehouses.
• Familiarity with cloud platforms (AWS/Azure) and on-prem architectures.

Responsibilities

• Design, develop, and maintain scalable data architectures and ETL pipelines across on-premise and cloud platforms.
• Collaborate with cross-functional teams to build custom software solutions for STEM data management.
• Apply best practices for data governance, security, and data quality.

Skills

Python

Apache Spark

SQL

Delta Lake

ETL pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

Git

Jira

Conda/PIP

Power BI

Tableau

Job description

MDMi is seeking Data Engineers to join our Software + Solutions Developer team and work with experts to design, build, and implement scalable data architectures and processing pipelines for STEM data management. You will create batch and streaming data solutions across hybrid environments, emphasizing security and reliability.

You will collaborate with data scientists, software developers, and clients, applying Spark, Delta Lake, Python, SQL, and APIs to enable analytics and automated