Covenant HealthRemote
Senior Data Engineer IS - Remote
United States of America
Full Time
2 weeks ago
$61 - $31 USD
Visa Sponsor
Key skills
Healthcare data analysisDatabase managementCloud computingBig dataData scienceSoftware development methodologiesData pipelinesData transformationsData enrichmentUser interface developmentSource controlHadoopSparkNoSQLKafkaFlinkSQLPythonLinux-based processingOLAPCloud data warehousingSnowflakeSynapseRedshiftBigQueryDimensional modelingUnstructured data engineeringMultimodal data engineeringEHREMRHL7FHIRAPIsClinical notesFastAPIFlaskETLELTAzure Data FactoryAWS GlueApache AirflowdbtApache NiFiInformaticaFivetranArtificial intelligenceMachine learningLarge language modelsPrompt engineeringLangChainLlamaIndexEmbeddingsVector databasesAIMLLLMRAGData EngineeringData WarehousingAirflowGlueSource ControlCollaboration
About this role
Covenant Health is a healthcare organization focused on patient care, and they are seeking a Senior Data Engineer to analyze clinical data and design modern data-centric software applications. The role involves building data pipelines and collaborating with various teams to enhance healthcare processes using cloud computing and data science techniques.
Responsibilities:
- Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends
- Design and build modern data-centric software applications to support clinical and operational processes across all parts of the healthcare system
- These applications leverage cloud computing, big data, data science, and modern software development methodologies and frameworks
- Builds data pipelines and transformations, data enrichment processes, provisioning layers, and user interfaces to meet the requirements of key initiatives
- Has a demonstrated ability to mentor and assist less experienced Data Engineers and participate in research and development of new technologies to help set up repeatable processes or templates for other Data Engineers to follow
- Strongly encourages and places a priority on collaboration with meticulous source control and documentation
- An emphasis on simple solutions to complex problems using modern and emerging methods and tools is critical
- This position will work closely with the Product, Platform, and Architecture teams to deliver on joint efforts
Requirements:
- Bachelor's degree in computer engineering, Computer Science, Mathematics, Engineering
- 5 or more years of experience as a Senior Data Engineer
- Master's degree in computer engineering, Computer Science, Mathematics, Engineering
- 8 years of Data development experience
- Advanced Hadoop / Spark / NoSQL✔ (Spark, Hadoop ecosystem, Kafka, Flink, NoSQL platforms)
- Advanced SQL + Python✔ (Python, SQL, Linux-based processing)
- OLAP / Cloud Data Warehousing✔ (Snowflake, Synapse, Redshift, BigQuery, dimensional models)
- Unstructured & Multimodal Data Engineering✔ (EHR/EMR, HL7, FHIR, APIs, clinical notes)
- Modern Application Development Frameworks✔ (FastAPI, Flask explicitly listed and used)
- Modern ETL / ELT Tooling✔ (ADF, Glue, Airflow, dbt, NiFi, Informatica, Fivetran)
- AI/ML + LLM / Prompt Engineering✔ (LLM pipelines, RAG, LangChain/LlamaIndex, embeddings, vector DBs)