Note: Candidates should be available to attend the first round of interviews in person at any one of the mentioned locations ( 1st round F2F)
Position Title: Data Platform Engineer- 6-month contract to hire
Job Location : Any of the following location
Work Mode: Onsite
Client Office Location: Bismarck - North Dakota/ Boise – Idaho/Burlington – Iowa/Fargo - North Dakota/Grand Forks- North Dakota/Lewiston - Maine/Minot - North Dakota/ Portland - OR/ Renton - Washington/ Spokane – Washington/ Salt Lake City – UT/ Vancouver - Washington
Candidate Eligibility
- Years of Experience Required: 15 Years
Responsibilities: -
· Lead and mentor Data Engineers; drive engineering standards and best practices.
· Independently design, build, tune, and own scalable Snowflake ELT pipelines, data models (with Modeling team), and platform artifacts supporting analytics/operational workloads.
· Optimize performance (query tuning, compute sizing, workload isolation, cost management).
· Partner with analytics, product, governance, QA, and business teams to deliver high-quality, observable data solutions.
· Contribute to platform strategy, risk assessments, and adoption of modern practices (DataOps, CI/CD, AI tools).
· Ensure data quality, testing, documentation, and knowledge sharing.
· Demonstrate technical leadership by breaking down complex work and delivering value in squad/model environments.
Mandatory Technical skills: -
§ At least 6+ years of relevant experience in Data Engineering or Data Platform Engineering, with senior or lead experience
§ Deep expertise with Snowflake (strongly preferred), SQL and SQL/Python stored procedures, dbt or other ETL tools, ELT/ETL design patterns, and orchestration (Airflow or similar).
§ Data Profiling: Must be able to identify unique and primary keys and determine cardinality, data type, precision, and scale, and skew.
§ Design and implement scalable data models and pipelines that align with business objectives
§ Healthcare Domain Knowledge: Working knowledge of payer data: claims (837/835), eligibility, enrollment, and provider data, Familiarity with healthcare standards: HL7/FHIR, ICD-10, CPT/HCPCS.
Good to have skills: -
- Experience with DataOps, CI/CD, semantic layers, metadata management, observability, streaming, and AI/agentic enablement.
- Understanding of data governance, security, compliance, and enterprise platform ownership.
- Excellent communication and collaboration across teams (Product, QA, Analytics, Business).
- Ability to mentor, establish best practices, and influence technical decisions; proactive problem-solving and innovation.
- Ability to think big, envision the work from the entire scope, and work down to into the details.
