Senior Data Engineer

Jump • Los Angeles, CA

2d • $190,000 - $210,000 • Remote

About The Position

Jump is seeking a Senior Data Engineer to join their nimble Data team. This role will be responsible for building and evolving the data platform that powers the company. The engineer will own the reliability and performance of the Snowflake and dbt-powered stack, building pipelines and models to ensure data trustworthiness and usability across Jump, from internal dashboards to client-facing products. The role involves shaping how Jump builds on and leverages its data foundation, particularly as agentic functionality is created and iterated upon. This is a hands-on, high-ownership position that spans data platform, analytics engineering, and data infrastructure. The engineer will work across the stack, solving problems end-to-end while helping to shape the architecture and data practices to support Jump's growth.

Requirements

• 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

Nice To Haves

• 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

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

Benefits

• Remote first
• Competitive salary and 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed