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Senior Software Engineer- Big Data & MCP, Data Foundations
Job in
Salt Lake City, Salt Lake County, Utah, 84193, USA
Listed on 2026-07-16
Listing for:
RevSpring Inc
Full Time
position Listed on 2026-07-16
Job specializations:
-
Software Development
Data Engineering
Job Description & How to Apply Below
Consumer Markets
Drive action. Create impact.
At Rev Spring, we build secure, outcomes-driven solutions that turn insight into action — streamlining engagement, simplifying payments, and driving better results. Join a diverse team focused on innovation, impact, and customer success.
Position: Senior Software Engineer
- Big Data & MCP, Data Foundations
Location: Salt Lake City, UT
Job : 1249
# of Openings: 1
Job Title: Senior Software Engineer
- Big Data & MCP, Data Foundations
- Collaborate and Innovate:
Partner with product managers, data engineers, and business leaders to translate complex product and data requirements into scalable, reliable data pipelines and the search experiences they power. - Architect Data Pipelines:
Design, build, and optimize large-scale distributed batch and streaming pipelines (using Apache Airflow, Apache Beam/Dataflow, and DBT on Big Query) to ingest, model, and transform high-volume healthcare data into clean, well-tested, query-ready datasets and search indices. - Build Data Models & Backend Services:
Develop resilient Python services and DBT models that power data delivery and self-service analytics, including Model Context Protocol (MCP) servers that expose curated data and tooling to downstream and AI consumers, and integrate with external REST/SOAP APIs and third-party data sources. - Optimize Data & Search Performance:
Deeply tune pipeline throughput, data warehouse performance, and search indexing — optimizing Big Query cost and query performance and Elasticsearch index design to ensure data freshness, relevance, and scalability across high-volume datasets. - Drive Engineering Excellence:
Write clean, maintainable, well-tested code and lead by example through rigorous code reviews, architectural and data-modeling design discussions, and mentoring, driving a culture of high-quality software and trustworthy data. - Pioneer New Technologies:
Stay at the forefront of modern data engineering, the analytics-engineering ecosystem (e.g., DBT, Big Query), and information retrieval, proactively applying these advancements to strengthen our data platform and the products it powers.
Specific
Job Skills
- Data Engineering:
Proven experience designing and orchestrating large-scale ETL/ELT pipelines using Apache Beam/Google Cloud Dataflow (or similar), and DBT, built on modern cloud data warehouses. Big Query experience is a plus. - Databases & SQL: 4+ years of experience working with relational databases and analytical data warehouses, with deep, advanced SQL skills and solid data-modeling fundamentals (e.g., dimensional and normalized modeling).
- Search & Indexing:
Working experience with search indexing and Elasticsearch, including index management, mappings, and building and maintaining search indices from pipeline output. Familiarity with hybrid (BM25 + semantic/vector) search is a plus. - Backend & Data Services:
Experience building scalable Python services and high-performance data APIs, including developing Model Context Protocol (MCP) servers that expose data and tooling to downstream and AI consumers. - Infrastructure & Dev Ops:
Strong understanding of containerization (Docker), CI/CD methodologies (e.g., Git Hub Actions), Git, Infrastructure as Code (e.g., Terraform/Pulumi), and managing services within cloud platforms (3+ years of GCP experience preferred).
- Familiarity with healthcare data standards (e.g., NPPES/NPI registries, NUCC Provider Taxonomy, machine-readable files (MRFs) for cost transparency, and FHIR).
- Experience with data quality and pipeline testing frameworks (e.g., dbt tests, Great Expectations) and streaming/event ingestion (e.g., Pub/Sub, Kafka).
- Experience integrating graph-based data and healthcare taxonomy ontologies to enrich datasets and search query context.
- Experience with observability and logging platforms (e.g., Data Dog) for monitoring pipeline health and data freshness.
Bachelor’s Degree
Experience5+ years of professional experience with Python, with strong software‑engineering fundamentals (testing, code review, design). 3+ years experience with Java or another JVM language is also highly desired, particularly for…
Position Requirements
10+ Years
work experience
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