Senior Data Engineer: Build Scalable ETL Pipelines & Insights

MDCalc; United States; Hybrid; USD 110,000 - 140,000; Full time

Benefits offered by this job

Medical, Dental, & Vision coverage

Fully-paid 8 week parental leave

Unlimited vacation

Work from home monthly stipend

Tri-annual company offsites

Job summary

MDCalc is looking for a Senior Data Engineer to enhance its data infrastructure, enabling data-driven decision-making across the organization. You will design and maintain scalable ELT/ETL workflows to support analytics and optimize core data models.

Qualified candidates must have over 5 years of experience in data engineering, strong SQL skills, and proficiency in Python. This hybrid role allows you to work collaboratively with product and business teams while contributing to a culture driven by a greater mission.

Qualifications

• 5+ years experience in data engineering.
• Experience building and maintaining reliable data pipelines.
• Strong ability to operate independently and prioritize effectively.

Responsibilities

• Design, build, and maintain scalable data pipelines and ELT/ETL workflows.
• Collaborate with Product, Engineering, and Analytics teams to meet data needs.
• Improve data quality, observability, and reliability through testing.

Skills

Strong SQL skills

Python programming

Data modeling

Building ETL/ELT pipelines

Experience with data warehouses (e.g., Snowflake)

Data orchestration tools (e.g., Airflow)

Job description

MDCalc is looking for a Senior Data Engineer to enhance its data infrastructure, enabling data-driven decision-making across the organization. You will design and maintain scalable ELT/ETL workflows to support analytics and optimize core data models.

Qualified candidates must have over 5 years of experience in data engineering, strong SQL skills, and proficiency in Python. This hybrid role allows you to work collaboratively with product and business teams while contributing to a culture driven by a greater mission.