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Remote, Oregon, United States
Remote only
Jump is transforming the live sports experience with the only end-to-end fan engagement platform built specifically for sports teams and venues. By focusing on aligned incentives between teams and fans, our platform unifies ticketing, merchandise, and game day operations - creating a smoother, more fan-friendly experience. Jump was founded by e-commerce innovator Marc Lore, MLB legend Alex Rodriguez, and entrepreneur Jordy Leiser. We're backed by top investors including Alexis Ohanian's Seven Seven Six and Forerunner Ventures.
Our platform powers teams across the NBA, WNBA, and NWSL among other leagues, helping them boost ticket sales and deliver innovative fan experiences. We're a remote-first team driven by core values - begin and build with trust, play like the underdog, win as a team, and do your thing. If you're collaborative, adaptable, and eager to shape the future of live sports, Jump is the place for you.
Jump is seeking a Senior Data Engineer to join our nimble Data team, where you'll help build and evolve the data platform that powers the company. You'll own the reliability and performance of our Snowflake and dbt-powered stack, building the pipelines and models that make data trustworthy and usable across Jump - from internal dashboards to client-facing products. As we create and iterate on agentic functionality across our product, you'll help shape how Jump builds on and leverages its data foundation. This is a hands-on, high-ownership role spanning data platform, analytics engineering, and data infrastructure. You'll work across the stack, solving problems end-to-end while helping shape the architecture and data practices that will support Jump as we scale.
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
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
A strong desire to learn. You are curious and willing to dive deep to become a subject matter expert in our domain
Tenacity. You enjoy working on challenges that others can't or don't want to tackle and you aren't afraid of failing fast in order to find better solutions.
Passion. You love using your skills to solve real problems. You hold yourself to a high standard and help to elevate others as well.
Empathy. You thrive in an environment where everyone can truly be themselves. You understand that our differing life experiences influence who we are and how we show up, and these diverse perspectives enrich both our team and our product.
Customer-centric mindset. You put customers at the heart of everything they do, striving to understand their needs and exceed their expectations
Innovation: Passion for exploring and implementing AI technologies to enhance automation, optimize workflows, and drive innovation
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
Compensation is something we don't want our candidates or employees to worry about. Our goal is to offer competitive salaries that are regularly benchmarked against the market. The core tenants of our compensation philosophy are fairness and transparency. We have established a standardized leveling framework based on job scope and responsibilities. This means that every person at a certain level is paid the same as everyone else, regardless of their background, previous compensation, location, or any other factor. The compensation for this role is $190,000-$210,000 and includes a generous equity package.
Some candidates may see the requirements and feel unsure that they match all the criteria. We encourage you to apply! There's a good chance you have important skills that we have not stated. We especially encourage members of traditionally underrepresented communities to apply, including women, nonbinary folx, people of color, members of the LGBTQ community, veterans, and people with disabilities. We're committed to building an inclusive workplace where everyone can bring their authentic self and thrive, and we value the diversity brought by different life experiences.