Product Data Engineer - Databricks & Health Analytics

United States Digital Space LLC

Helsinki

Hybrid

EUR 90,000 - 130,000

Full time

11 days ago

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Benefits offered by this job

Competitive salary
Lunch benefit
Wellness benefit
Flexible working hours

Job summary

United States Digital Space LLC in Helsinki is seeking a Senior Data Engineer – Product to join our Data Engineering & Analytics team. You will own the data infrastructure powering the longitudinal member journey, migrating analytics from Amplitude/Segment/Snowflake/Athena/QuickSight to Databricks, and partnering with product, data science, and health teams.

You will design and build production-grade data pipelines, ensure data governance, and contribute to a scalable analytics platform within a

Qualifications

  • 5+ years of experience building and operating production data pipelines.
  • Strong SQL and Python skills; track record of production-grade pipelines.
  • Experience with product analytics stacks and data migrations across multi-tool environments.
  • Experience with cloud data warehousing (Snowflake, Athena, BigQuery) or similar.

Responsibilities

  • Design, build, and maintain data pipelines unifying product and member data into a governed data layer.
  • Lead migration of product analytics infra to Databricks; ensure analytics continuity and improved scalability.
  • Own the longitudinal member journey data model across health intelligence and subscription milestones.
  • Collaborate with Product, Data Science, and Health Intelligence teams to meet data requirements and deliver scalable pipelines.

Skills

SQL
Python
Data pipelines
Databricks
dbt
Cloud platforms
BigQuery

Tools

Amplitude
Segment
Snowflake
Athena
QuickSight
Spark

Job description

United States Digital Space LLC in Helsinki is seeking a Senior Data Engineer – Product to join our Data Engineering & Analytics team. You will own the data infrastructure powering the longitudinal member journey, migrating analytics from Amplitude/Segment/Snowflake/Athena/QuickSight to Databricks, and partnering with product, data science, and health teams.

You will design and build production-grade data pipelines, ensure data governance, and contribute to a scalable analytics platform within a

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