Note: The job is a remote job and is open to candidates in USA. Jump is transforming the live sports experience through an end-to-end fan engagement platform for sports teams and venues. The company is seeking a Senior Data Engineer to build and evolve its data platform, owning the reliability and performance of its Snowflake and dbt-powered stack. The role involves developing pipelines and models, improving data governance and infrastructure, and supporting analytics and AI/ML use cases.
Responsibilities
- Build and maintain ELT pipelines that turn raw data into modular, well-tested dbt models inside Snowflake
- Design and maintain reliable data orchestration and workflows as the platform grows in complexity
- Write and maintain dbt tests that catch issues before they reach a critical point
- Document models and sources so the meaning of our data is discoverable
- Build monitoring and alerting that surfaces pipeline failures and data anomalies before anyone has to ask
- Optimize Snowflake table design and materialization strategy to keep performance high and costs in check as data volume grows
- Help evolve Snowflake access controls and governance, keeping roles, grants, and security aligned with organizational standards
- Dig into what internal teams and external clients actually need from our data, not just what they ask for
- Bring a strong engineering discipline to data work; version control, CI/CD, code review
- Build the data infrastructure and governance needed to support new AI/ML use cases, including reliable access to high-quality, well-understood data
Skills
- • 6+ years of data engineering experience
- • Ability to independently own complex data systems from design through production and make sound architectural tradeoffs
- • Strong product and stakeholder instincts - you can translate ambiguous business needs into durable data solutions
- • Deep, production-grade SQL and Snowflake expertise
- • Deep experience with dbt, including testing, documentation, dependencies, and deployment
- • Software engineering discipline — Git-based version control, CI/CD for data pipelines, and strong Python skills for building data pipelines, orchestration, and custom transformations
- • A track record of building testing, monitoring, and alerting into pipelines before something breaks, not after
- • Familiarity with BI/analytics tools, ideally Sigma
- • Experience with orchestration and workflow tooling
- • Depth with cloud platforms
- • Exposure to supporting ML/AI pipelines or streaming and real-time data
Benefits
- Remote first
- Equity
- Flex PTO policy
- 401(k)
- Generous medical, dental and vision plans
- 16 weeks paid parental leave for primary and secondary caregivers
- $1,000 reimbursement for work-from-home tech setup
- $1,000 reimbursement for learning and development
- Company-paid sustainability subscription to ensure carbon neutrality is maintained for employee activities, such as travel
Company Overview
Company H1B Sponsorship