Distinguished Engineer driving design and architecture of mission - critical Data Platforms at Capital One. Leading technical strategies to enhance data discovery and governance for enterprise - wide AI readiness.
About the role
- Specialist, Data Engineering at CoverMyMeds enhancing and expanding data platforms for commercial data products. Collaborating with multiple teams to design scalable data solutions from various sources.
Responsibilities
- Design and develop data solutions that integrate proprietary and third-party data sources to support commercial data products and proof-of-concept initiatives
- Build and optimize data ingestion and transformation pipelines that enable rapid iteration while maintaining quality and governance standards
- Work with structured and unstructured data to prepare enhanced, sample, or prototype datasets for internal stakeholders and potential external customers
- Write SQL and/or use cloud-based tools such as Snowflake or Databricks to cleanse, standardize, and enrich data aligned to defined business use cases
- Collaborate with Product, Analytics, and external-facing teams to translate commercialization objectives into scalable data assets
- Contribute to conceptual data models and reusable data patterns that support future data product expansion
- Partner with application and platform teams to understand upstream data flows and design appropriate ingestion strategies
- Support monitoring of data quality, performance, and reliability for commercialized data assets
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or related field
- 4+ years of experience in data engineering, analytics engineering, or modern data platform environments
- 4+ years hands-on experience with cloud data technologies such as Snowflake, Databricks, or similar platforms
- Strong (4+ years) SQL skills and experience transforming data for analytical, reporting, or product-oriented use cases
- Experience integrating data from multiple internal and third-party systems
- Experience working with structured and semi-structured data in batch and/or streaming environments
- Working knowledge of data modeling principles and data quality practices
- Experience supporting analytics, reporting, or externally facing data use cases
Benefits
- Competitive compensation package
- Annual bonus or long-term incentive opportunities
- On-site culinary team
- Flexible hours
- Paid benefits
- Opportunities to grow careers and connections within the community
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