ApacheAzureCloudPythonSparkSQLAIGenerative AIData EngineeringAnalyticsDatabricksApache SparkAzure FunctionsService BusDecision Making
About this role
Role Overview
support Ensemble’s data engineering strategy by designing, building, and maintaining reliable data pipelines and integrations that enable analytics, operational reporting, and data-driven decision making
focus on hands-on development within established platforms and patterns, working closely with senior engineers and stakeholders to deliver high-quality, scalable solutions
contribute to platform modernization efforts while continuing to deepen technical expertise and engineering best practices
develop, test, deploy, and maintain data pipelines and API integrations using established patterns and standards
use generative AI tools to assist with development, troubleshooting, and improving code quality under guidance
translate well-defined product and business requirements into reliable technical solutions
participate in design discussions and contribute to code reviews to improve solution quality and consistency
implement and support data quality checks to ensure accurate and reliable production data
follow approved architectural patterns and contribute feedback for continuous improvement
monitor pipelines and resolve data issues in partnership with senior engineers
document solutions, processes, and operational considerations clearly for reuse and support
Requirements
3+ years of hands-on experience developing solutions using Microsoft SQL
2+ years of experience with big data and cloud technologies such as Databricks, Apache Spark, Python, and Microsoft Azure (ADF, Dataflows, Azure Functions, Service Bus)
Working knowledge of engineering fundamentals including automated testing, code reviews, telemetry, and DevOps practices
Experience working with modern data storage formats such as Delta Lake and Parquet in ADLS
Familiarity with distributed data processing and event-driven architectures
Ability to collaborate effectively with technical and non-technical partners
Strong attention to detail and accountability for owned deliverables
Experience working with healthcare data is preferred; familiarity with HL7 or EDI is a plus.
Tech Stack
Apache
Azure
Cloud
Python
Spark
SQL
Benefits
comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family
healthcare
time off
retirement
well-being programs
professional certification relevant to their field