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Data Pipeline Engineer

Decision Point Healthcare Solutions

Decision Point Healthcare Solutions

Boston, MA, USA
Posted on Thursday, May 25, 2023

We need your help.

We’re looking for a self-motivated and detail-oriented data engineer to join our DataOps team. This opportunity will enable you contribute to the operation, support, and enhancement of our mission critical data operations platform and the development of data pipelines. Our data operations platform supports high volume, high velocity data ingestion and curation to support our existing, and rapidly expanding, health plan client base.

The position:

  • Design and develop scalable data pipeline processes (including ingestion, cleansing, curation, unification, etc.)
  • Automate the processing of inbound client data feeds
  • Design and develop tools and processes to support automated data profiling and data quality methodologies
  • Work with our data science team to assist with the development of feature store data including data prep, enrichment, and feature engineering for AI/ML
  • Write and maintain documentation on data pipelines
  • Provide periodic support to our customer success team Skills & Experience
  • BS / MS in Computer Science, Engineering, or applicable experience
  • 3+ Year using Python (Pandas/NumPy) in a production environment
  • 3+ Year using PowerShell in a production environment
  • Expertise with ETL/ELT and the development of automated validation and data pipelines
  • Understand database design and data manipulation and transformation methodologies
  • Keen understanding of EDW, master data management and other database design principles
  • Experience designing solutions using a range of AWS Services
  • Experience with data engineering and workflow management frameworks such as Airflow and dbt
  • Comfortable working with high volume data in a variety of formats
  • Experience with CI/CD such as Jenkins
  • Experience with version control tools: Git preferred
  • Excellent verbal and written communication
  • Familiarity with healthcare data is a plus
  • Familiarity with ML pipelines, principles and libraries is a plus
  • Experience with REST API is a plus

Why Decision Point?:

We’re as passionate about our people as we are about making our mark on healthcare. Fostering a fun and challenging environment that’s centered around personal and professional growth has brought us to where we are today. We are constantly seeking out new ways to reinvest in our team members because let’s face it, we all do our best work when we feel valued.

  • Meaningful work
  • Remote friendly environment
  • We encourage outside the box ideas
  • Great healthcare coverage
  • Competitive compensation