✦ Luna Orbit — Cloud & Infrastructure

Data Engineer Jobs in Boston

at Redshiftrecruiting

Remote Posted March 17, 2026
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Not specified
Category Cloud & Infrastructure

This role involves designing and maintaining scalable data pipelines using Python, Spark, and Databricks, supporting healthcare data integration and automation in a cloud environment.

  • Build data pipelines
  • Optimize ETL processes
  • Implement data governance
  • Collaborate with cross-functional teams
  • Automate workflows

Focus on Python, Spark, Databricks, Airflow, SQL, cloud platforms like AWS, and data governance tools like Unity Catalog.

The ideal candidate is a mid-level data engineer with expertise in Python, Spark, and Databricks, experienced in building scalable ETL pipelines and working with cloud platforms like AWS, capable of optimizing data workflows.

PythonSparkDatabricksAirflowSQL
JVM tuningUnity CatalogMedallion architectureNoSQLParquetDockerTerraformScalaJenkins
Apache AirflowSparkDatabricksAWSCsvJenkinsDockerTerraformUnity Catalog
PythonSparkDatabricksAirflowSQLJenkinsTerraformDockerJVM tuningMedallion architecture
PythonSparkDatabricksAirflowSSISUnity CatalogJVM tuningMedallion architectureAzureSQLNoSQLParquetDockerTerraformPythonScalaJenkins
Problem-solvingCollaborationAttention to detailAnalytical thinking
Industry Software
Job Function Data pipeline development and cloud data engineering
Role Subtype Data Engineer
Tech Domains Python, Spark, Databricks, Azure, SQL / PostgreSQL, NoSQL, Apache Airflow, Jenkins
data engineerpythonsparkdatabricksairflowssisunity catalogjvm tuningmedallion architectureawsnosqlparquetdockerterraformscalajenkinssql

Lack of experience with Spark or Databricks, No knowledge of cloud platforms like AWS, No experience with ETL tools

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