Note: The job is a remote job and is open to candidates in USA. EA Risk helps agricultural producers and related businesses manage commodity price risk through brokerage, insurance, advisory services, and market intelligence. The Senior Data Engineer will own the emerging internal data platform, guide its design and implementation, and build reliable, governed data foundations for reporting, applications, and AI-enabled use of enterprise data.
Responsibilities
- Help define platform requirements, evaluate technology and architecture decisions, and guide the implementation partner’s work
- Build a clear path from partner delivery to sustainable internal ownership, including documentation and operational handover
- Develop and maintain integrations across business systems, product data, external providers, and public datasets
- Create reliable pipelines and well-defined datasets that support business reporting and application needs
- Establish monitoring, data quality checks, lineage, and processes for diagnosing and recovering from failures
- Work with business owners to resolve inconsistent definitions and reconcile records across systems
- Implement appropriate data access and governance in partnership with IT and security
- Extend the platform as new business requirements and acquisitions introduce additional data sources
- Use AI tools to accelerate engineering and investigation while validating transformations and outputs
Skills
- You enjoy building data foundations that people can trust and use
- You can help shape a new platform with an implementation partner, make sound technical decisions, and take responsibility for operating and improving it over time
- You already use AI tools substantially to accelerate development, investigate data, and learn unfamiliar systems
- You pair that speed with careful validation and a strong understanding of data quality and access controls
- Experience building and operating production data pipelines and modern data platforms
- Strong SQL skills and proficiency in a language used for data engineering, such as Python
- Practical understanding of data modeling, orchestration, testing, and cloud infrastructure
- The ability to evaluate technical proposals and work effectively with an external delivery partner
- An ownership mindset that includes ongoing reliability, usability, and operating costs
- Substantial current use of AI tools in your work
- We value demonstrated capability over a fixed experience threshold or particular degree
- Experience with lakehouse architectures or platforms such as Databricks is helpful
- Familiarity with CRM, ERP, financial, insurance, or agricultural data is also valuable
Benefits
- Competitive health benefits: Medical, dental and vision coverage, employer HSA contributions, and more.
- Flexible Time Off: No fixed PTO bank or accrual - take the time you need with manager approval.
- 401(k) match: EA Risk offers a 4% company match, vested immediately.
- 12 paid holidays + leave
- Paid parental leave: Up to 6 weeks paid, increasing to 8 weeks with 3+ years of service, including birth, adoption, and foster placement.
- This is a remote position
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