Data Engineer

Prominence Advisors

full-time

Posted on: 9/24/2025

Origin: • 🇺🇸 United States

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JuniorMid-Level

AirflowAmazon RedshiftApacheAWSAzureBigQueryCloudDockerETLGoogle Cloud PlatformJavaKafkaKubernetesPythonScalaSQLTerraform

About the role

Design, build, and maintain data pipelines and workflows
Transform raw sources into clean, reliable, and scalable data streams
Build and optimize data pipelines that ingest, transform, and deliver data from diverse sources (EHRs, claims, APIs, CRM) into analytics-ready structures
Guide customers through complex data challenges and partner with healthcare providers
Deliver high-quality results and teach/mentor counterparts to support/expand deliverables
Work in a fully remote team environment focused on healthcare IT strategy and analytics

2–5+ years of professional experience in data engineering or related roles
Strong SQL skills, including query optimization and debugging
Proficiency in Python (or another programming/scripting language such as Scala or Java)
Hands-on experience with at least one of: Snowflake; Databricks; Azure Data Factory; AWS Redshift; Google BigQuery; dbt or similar transformation tools; Apache Airflow or other orchestration frameworks
Familiarity with ETL/ELT principles, data warehousing, and data modeling concepts
Experience with cloud services (AWS, Azure, or GCP)
Healthcare industry knowledge and experience (Epic, HL7, FHIR, claims) (desired)
Experience with CI/CD pipelines, Git, and DevOps workflows (desired)
Familiarity with Infrastructure-as-Code tools (Terraform, CloudFormation) (desired)
Experience with real-time/streaming data tools (Kafka, Kinesis, Pub/Sub) (desired)
Containerization experience (Docker, Kubernetes) (desired)
Cloud or data tool certifications (desired)
Full-time salaried role; no relocation required; candidates required to have a suitable home office to operate from