Data Platform Engineer (15 Years)

Note: Candidates should be available to attend the first round of interviews in person at any one of the mentioned locations ( 1 st 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: -

1. Experience with DataOps, CI/CD, semantic layers, metadata management, observability, streaming, and AI/agentic enablement.
2. Understanding of data governance, security, compliance, and enterprise platform ownership.
3. Excellent communication and collaboration across teams (Product, QA, Analytics, Business).
4. Ability to mentor, establish best practices, and influence technical decisions; proactive problem-solving and innovation.
5. Ability to think big, envision the work from the entire scope, and work down to into the details.