Senior Data Engineer

Sorry, this job was removed at 06:20 p.m. (CST) on Tuesday, Oct 07, 2025
Hiring Remotely in United States
Remote
Artificial Intelligence • Healthtech • Information Technology • Software
The Role
Overview

We are looking for an onshore + remote Senior Data Engineer to join our team. You will be responsible for designing, developing, and maintaining data pipelines and structures that support our data science practice and customer-facing data products.

Responsibilities
  • Design and Development: Develop, test, and maintain data pipelines using Python and orchestration tools such as Airflow or Kestra.
  • Code Quality: Write clean, maintainable, and efficient code, following best practices for coding standards, security, testing, and deployment.
  • Database Management: Design and optimize database tables, write efficient SQL queries, and manage database migration scripts.
  • Documentation: Develop and maintain documentation around data sources and their composition requirements and resulting transformations from ingestion to final data structures. Also, ensure accurate tracking through the data lifecycle.
  • Collaboration: Work with the product team, data scientists, and other stakeholders to define and implement data solutions using new and existing data sources and technologies.
  • Continuous Improvement: Participate in code reviews, contribute to team learning, and stay updated with industry trends and technologies.

RequirementsTechnical Qualifications
  • Python
    • Demonstrable experience in data-focused libraries (Pandas, DuckDB, etc.)
    • Experience working with DAGs or equivalent structures
    • Experience in process automation in Python
    • Experience Integrating with third-party APIs
  • Proven Experience in a Data Engineering or Similar Role (ideally 5+ yrs)
    • Understanding Data Lineage and Strategies
    • ETL Pipeline Design/Development
    • Data Modeling Experience
    • Experience Building Scalable Data Lakes/Warehouses
    • Experience analyzing and organizing large data sets
  • Experience in Event-Based Data Processing
  • Strong Data Documentation Experience
  • Strong SQL (Postgres RDBMS) Experience
    • Table design and optimization
    • Advanced Query Building and Optimization
    • Advanced Data Aggregation Strategies
  • Experience with ETL/Workflow Automation & Tools (Kestra, Airflow, or similar)
  • Git SCM (Gitlab)
  • Experience in Regulated Industries (Healthcare, Banking, etc.)

Bonus:

  • AWS (S3, Step Functions, Batch, Athena, Glue) 
  • Experience in Data Analysis
  • Experience working with Data Science/ML teams
  • Experience with Typescript

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The Company
HQ: New York, New York
41 Employees
Year Founded: 2022

What We Do

Our mission is to improve human health by connecting and organizing the nation’s healthcare data.

Predoc is the first and only full service, AI-native medical record retrieval and analysis platform. Predoc offers a range of services including: Medical Record Retrieval, Record Indexation (from both structured and unstructured data), and Medical Record Analysis.

We are building a reality where healthcare teams have access to the right data at the right time, enabling them to fulfill their core purpose - to improve human health. We believe in amplifying clinical judgement and expertise, not replacing it.

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