Junior Data Engineer

Boston, MA


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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.

What you’ll do:

As a data engineer, you will be responsible for the execution and management of inbound client and internal service-based data pipelines. This encompasses the development, management, and operation of our client data hubs, including data intake, data quality assessment/evaluation, data curation and enrichment processes. Our client data hubs consist of various health related data sources supporting Decision Point services including our AI/ML platform, analytics platform, and OPUS application suite. If this interests you, read on.

The position:

  • Develop and apply scalable data integration (ETL/ELT) processes (including ingestion, cleansing, curation, unification, etc.)
  • Support various components of the data pipelines, including ingestion, validation, cleansing and curation
  • Manage and ensure the success of ongoing data pipeline routines
  • Collaborate with our implementation team to assist with the identification and reconciliation of data anomalies
  • Create and maintain documentation on data pipelines
  • Engage with our software engineering team to ensure precise data points per application specifications
  • Provide periodic support to our customer success team

Skills & experience:

  • BS / MS in Computer Science, Engineering, or applicable experience
  • Expertise with SQL, database design and data manipulation methodologies
  • Expertise with ETL/ELT and the development of automated validation and data pipelines
  • Strong data profiling and analytic skills; Ability to discover and highlight unique patterns/trends within data to identify and solve complex problems
  • Keen understanding of EDW, master data management and other database design principles
  • Comfortable working with high volume data in a variety of formats
  • Experience with Pandas/Numpy in a production environment
  • Experience with CI/CD and version control tools: Git preferred
  • Experience working within hybrid cloud environment; AWS experience is a plus
  • Excellent verbal and written communication
  • Excellent listener and collaborator with senior leaders, peers, and staff
  • Familiarity with data engineering and workflow management frameworks such as Airflow and dbt
  • Familiarity with healthcare data is a plus

A little bit about Decision Point:

We are a rapidly growing healthcare technology company changing the fundamentals of patient and provider engagement. For years, health plans have relied on descriptive data and reactive engagement. We empower our clients to understand and predict the whole member journey, enabling sustained improvements in member health outcomes and plan performance. We combine the latest, most practical technologies and a deep understanding of healthcare, bringing innovative, pragmatic solutions to an industry that touches us all.

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