Key skills
PythonJavaScalaSQLETLELTData EngineeringData WarehousingAnalyticsSnowflakeBigQueryRedshiftDatabricksKafkaAirflowApache AirflowdbtAWSAzureGCPTerraformKubernetesDockerCloudFormationKinesisPub/SubGitCI/CD
About this role
Prominence Advisors is a healthcare technology strategy and implementation firm focused on helping leading healthcare organizations leverage their data. As a Data Engineer, you will design, build, and maintain data pipelines and workflows to transform raw data into clean, reliable data streams, ensuring high-quality results for clients.
Responsibilities:
- Design, build, and maintain pipelines and workflows that enable customers to put their data to work
- Create order out of chaos, transforming raw sources into clean, reliable, and scalable data streams
- Build scalable data pipelines that ingest, transform, and deliver data from diverse sources into analytics-ready structures
Requirements:
- 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 the following: 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)
- Experience with CI/CD pipelines, Git, and DevOps workflows
- Familiarity with Infrastructure-as-Code tools (Terraform, CloudFormation)
- Experience with real-time/streaming data tools (Kafka, Kinesis, Pub/Sub)
- Containerization experience (Docker, Kubernetes)
- Cloud or data tool certifications