Remote AWS Data Engineer – Healthcare Analytics & Pipelines

Builth Wells; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

Semble is seeking a Data Engineer to build, test, and optimise the pipeline powering analytics, reporting and data products for healthcare. The role involves ELT pipeline work, data modelling, and collaboration with data and product teams across remote settings.

Ideal candidates have 3–5 years of data engineering experience, strong Python and SQL skills, and hands-on experience with Databricks, Spark, streaming/CDC, AWS and Great Expectations.

Qualifications

• 3–5 years of data engineering experience.
• Strong Python & SQL skills.
• Experience with Git, Databricks, streaming / CDC, AWS, Great Expectations.
• Experience building analytics data models in Spark.

Responsibilities

• Build and maintain ELT pipelines, monitor pipeline health and data freshness.
• Extend our modelling layer, support CI/CD and ingestion projects.
• Collaborate with data and product teams to deliver reliable, well-tested data.
• Participate in code reviews and help evolve platform standards and documentation.

Skills

Python

SQL

Git

Databricks

Streaming / CDC

AWS

Great Expectations

Spark

Tools

Databricks

Spark

Git

AWS

Job description

Semble is seeking a Data Engineer to build, test, and optimise the pipeline powering analytics, reporting and data products for healthcare. The role involves ELT pipeline work, data modelling, and collaboration with data and product teams across remote settings.

Ideal candidates have 3–5 years of data engineering experience, strong Python and SQL skills, and hands-on experience with Databricks, Spark, streaming/CDC, AWS and Great Expectations.