Senior Data Engineer — Build Scalable Health Data Pipelines

Modernizing Medicine, Inc.; United States; Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision benefits

401(k) matching contribution

Generous paid time off

Professional development opportunities

Dog-friendly HQ

Catered meals

Wellness facilities

Job summary

Modernizing Medicine, Inc. is seeking a Senior Data Engineer to revolutionize Healthcare IT by building and maintaining data infrastructure. You will play a key role in developing data pipelines, guiding infrastructure design, and collaborating with engineering and product teams.

The ideal candidate has a Master's in Computer Science, at least 5 years of experience, and strong skills in SQL, Spark, and Python. Competitive benefits include medical, dental, and vision coverage, 401(k) matching, and flexible work options.

Qualifications

• Minimum 5 years experience in a data engineering capacity.
• Strong problem-solving skills, adaptable, proactive, and willing to take ownership.
• Strong commitment to quality, architecture, and documentation.

Responsibilities

• Develop and maintain data pipelines while achieving high reliability and efficiency.
• Liaison with engineering and product to help develop new data-products.
• Maintain documentation for the Data Warehouse and other data products.

Skills

SQL and relational databases

Object-Oriented Python

Spark

AWS cloud services (S3, Athena, EMR, Kinesis)

Data pipeline technologies (Airflow, Luigi)

Business intelligence tools (Tableau, Qlik)

Education

Masters in Computer Science or equivalent work experience

Tools

Talend ETL or similar

Databricks

Job description

Modernizing Medicine, Inc. is seeking a Senior Data Engineer to revolutionize Healthcare IT by building and maintaining data infrastructure. You will play a key role in developing data pipelines, guiding infrastructure design, and collaborating with engineering and product teams.

The ideal candidate has a Master's in Computer Science, at least 5 years of experience, and strong skills in SQL, Spark, and Python. Competitive benefits include medical, dental, and vision coverage, 401(k) matching, and flexible work options.