Title: Sr. Data Engineer, Healthcare
Location : 100% Remote
Target Start Date : ASAP
Type: contract or contract to hire
Pay Rate: DOE
Are you driven by working to improve our healthcare system through advanced technology? We need your expertise and integrity!
This role is 100% remote and we are looking for candidates who have healthcare domain expertise.
Responsibilities
- Design, maintain, and execute intermediate-to-advanced Apache Spark jobs (using RDDs, DataFrames, Datasets, and Structured Streaming) for data ingestion, transformation, validation, integration, and machine learning pipelines
- Develop, optimize, and refactor Scala-based Spark applications, including writing unit tests and conducting peer code reviews with a focus on performance and production-readiness
- Create, maintain, and enhance basic-to-intermediate SQL scripts for orchestration, data validation, and ETL operations. Tune SQL for efficient daily execution.
- Integrate LangChain into data workflows to support retrieval-augmented generation (RAG), prompt templates, and conversational or embedding-based data queries
- Use LangChain indexes and chains to interface with data stores like RDBMS, DataFrames, or CSV—enabling automated document analysis, summarization, and structured prompt pipelines
- Collaborate closely with engineering, DBAs, cloud ops, and data science teams to troubleshoot Spark cluster (e.g., Databricks / EMR), environmental, or network issues; support may include after‐hours or weekend duty.
- Construct and sustain scalable data pipelines in cloud ecosystems (AWS, Azure, GCP, OCI), encompassing S3, Glue/EMR, Databricks, Kafka/Spark Streaming.
- Validate pipeline outputs to meet business and compliance requirements, ensuring data integrity and auditability.
- Follow all industry and organizational compliance guidelines.
- Track productivity, complete tasks via JIRA or similar ticketing systems, and deliver against performance goals.
- Support special projects (e.g., migration to Databricks, Snowflake integration, RAG workflows), and adapt responsibly to organizational change.
Qualifications- Bachelor's degree in Computer Science, Information Technology, or equivalent experience.
- 5+ years experience with big data technologies (Spark, Scala, Hadoop, Kafka, Ray, etc.).
- Deep experience with Scala in Spark—writing idiomatic functional pipelines, optimizing Spark apps, leveraging DataFrame / Dataset APIs
- Intermediate to advanced Spark SQL, including query optimization and streaming design.
- LangChain proficiency: implementation of chains, prompt templates, retrieval workflows, and integration with LLMs/data systems .
- Cloud expertise (AWS/Azure/GCP/OCI), including Databricks, EMR, S3, Glue, Lambdas, Snowflake.
- Solid RDBMS skills (Oracle, MS SQL, Vertica), with strong SQL/PL-SQL or ETL experience for data integration.
- Prior experience in healthcare data (enrollment, medical/pharmacy claims) is preferred.
- Proficiency in Microsoft Office and project tools like JIRA.
- Familiarity with Databricks and/or Snowflake ecosystems.
Additional Requirements- Highly analytical with a strong attention to detail.
- Exceptional verbal, written, and listening communication skills.
- Capable of independently managing multiple concurrent tasks and prioritizing under pressure.
- Comfortable working in both independent and team-based environments.
Welcome to ConsultNet and the family of companies, Tekne, SaltClick, TechBridge, and OmniMedia. As a premier national provider of technology talent and solutions, our expertise spans across project services, contract-to-hire, direct placement, and managed services both onshore and nearshore.
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