Job Title: Data Engineer

Company Name: HealthEZ

Job Details: $105k-$135k/yrRemoteFull,Time

Job Url: https://hiring.cafe/viewjob/nmt9z1izmaiyig3x

Job Description: Posted 5d agoData Engineer@ HealthEZView All JobsWebsiteUnited States$105k-$135k/yrRemoteFull TimeResponsibilities:Build pipelines, Establish observability, Develop validationRequirements Summary:3+ years data engineering, data platform engineering, or cloud data infra; ETL/ELT pipelines; SQL and Python; CI/CD and IaC; Azure/GCP/AWS; observability; strong documentation.Technical Tools Mentioned:dbt, Airflow, Databricks, Snowflake, Datadog, Grafana, Splunk, AppDynamics, Azure, GCP, AWS, PowerBI, Fabric, CI/CD, infrastructure-as-code
The Opportunity

The Data Platform Engineer role partners directly with our Data Architect to continue developing, governing, and expanding our Microsoft Fabric and Power BI data environment.

This role provides hands-on engineering, operational discipline, monitoring, and enablement required to turn our Datahub into a reliable, scalable, and well-governed platform that the business can depend on.

This is a platform engineering role focused on implementing standards, CI/CD, observability, data validation, documentation, and business enablement across the Fabric-based Datahub, with Power BI report generation as needed. This is a remote opportunity. 




What you'll do


	Build and maintain data pipelines and transformation workflows within Microsoft Fabric
	Implement version control and deployment processes for PowerBI/Fabric artifacts
	Establish observability across data pipelines (failures, latency, data quality)
	Develop data validation and reconciliation processes for payer and operational reporting
	Partner with analysts and business teams to enable governed self-service analytics
	Work with DBAs and application teams to trace lineage from source systems to reporting layers
	Translate architectural standards from the Data Architect into repeatable engineering practices
	Provide technical directions to offshore data resources
	Optimize performance and cost of Fabric workloads
	Support audit, compliance, and documentation requirements for data flows