Data Engineer

Ensemble Health Partners

. Design, build, test, deploy, and maintain reliable data pipelines and API integrations .

Posted 10/28/2026full-timeUnited StatesMid-LevelSenior💰 $84,000 - $126,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining data pipelines and API integrations, with a strong focus on Microsoft SQL, Databricks, and Azure technologies. Proven ability to translate business requirements into technical solutions while ensuring data quality and collaborating effectively with diverse teams.

Highest-signal resume keywords

Microsoft SQL DevelopmentDatabricks ExperienceApache Spark ProficiencyPython ProgrammingHealthcare Data Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentAPI IntegrationData Quality ChecksAutomated TestingTelemetryDevOps PracticesDelta LakeParquetDistributed Data ProcessingEvent-Driven Architectures

Soft Skills

Attention to DetailAccountabilityCollaborationInquisitivenessOpenness to Innovation

Tools & Technologies

Microsoft AzureAzure Data FactoryDataflowsAzure FunctionsService Bus

Industry Keywords

Healthcare DataEDIData Engineering StrategyOperational ReportingData-Driven Decision Making

Tech Stack

Tools & technologies

ApacheAzurePythonSparkSQL

About the role

Key responsibilities & impact

Design, build, test, deploy, and maintain reliable data pipelines and API integrations
Support Ensemble’s data engineering strategy for analytics, operational reporting, and data-driven decision making
Use generative AI tools to assist with development, troubleshooting, and code quality improvements under guidance
Translate product and business requirements into reliable technical solutions
Participate in design discussions and code reviews
Implement and support data quality checks
Follow approved architectural patterns and provide continuous-improvement feedback
Monitor pipelines and resolve data issues with senior engineers
Document solutions, processes, and operational considerations for reuse and support
Contribute to platform modernization efforts

Requirements

What you’ll need

3+ years of hands-on experience developing solutions using Microsoft SQL
2+ years of experience with Databricks, Apache Spark, Python, and Microsoft Azure, including ADF, Dataflows, Azure Functions, and Service Bus
Experience with healthcare data and EDI
Working knowledge of automated testing, code reviews, telemetry, and DevOps practices
Experience with Delta Lake and Parquet in ADLS
Familiarity with distributed data processing and event-driven architectures
Ability to collaborate with technical and non-technical partners
Strong attention to detail and accountability for owned deliverables
Must be inquisitive and open to innovation, including AI
Must reside in and be authorized to work within the United States
Must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require

Benefits

Comp & perks

Comprehensive healthcare benefits
Time off
Retirement benefits
Well-being programs
Professional development
Professional certification relevant to the associate’s field
Tuition reimbursement
Quarterly incentive programs
Annual incentive programs
Work-life flexibility
Remote work arrangement