Data Engineer — Build Reliable Data Pipelines & Systems

MMD Services, Inc.; Naperville (IL); On-site; USD 90,000 - 120,000; Full time

Job summary

MMD Services Inc. is seeking a Data Engineer to build and maintain data pipelines within an established architecture. You will own components end-to-end, implement features, test, deploy, and support operations with guidance from senior engineers.

You will collaborate with product, design, QA, and engineering teams, using logs and metrics to improve system reliability and performance while continuing to grow technical skills and contribute to team best practices.

Qualifications

• 2–4 years of experience with data engineering technologies (SQL, Python, Spark) and at least one cloud platform (AWS/Azure/GCP).
• Working knowledge of data modeling, integration patterns, and data quality best practices.
• Exposure to analytics platforms and BI tools (Power BI, Tableau). Familiarity with MLOps concepts is a plus.
• Interest in connecting technical decisions to business outcomes.

Responsibilities

• Build and maintain software features and data pipelines, ensuring solutions are maintainable and well-tested.
• Own components end-to-end, from implementation through testing and deployment, with guidance on broader design decisions.
• Participate in technical design discussions and solution planning, offering ideas and trade-offs.

Skills

Programming skills

Data pipelines

Observability

Security-conscious coding

Education

Bachelor's degree in CS/SE or related

Coding education alternatives

Tools

Power BI

Tableau

MLOps concepts

Job description

MMD Services Inc. is seeking a Data Engineer to build and maintain data pipelines within an established architecture. You will own components end-to-end, implement features, test, deploy, and support operations with guidance from senior engineers.

You will collaborate with product, design, QA, and engineering teams, using logs and metrics to improve system reliability and performance while continuing to grow technical skills and contribute to team best practices.