Senior Data Engineer

🕒 August 28

🇺🇸 United States – Remote

💵 $190k - $210k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Jump

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

⚽ Sports

☁️ SaaS

🤝 B2B

Sports • SaaS • B2B

Jump is a company that offers an end-to-end fan experience platform specifically designed for sports teams and their fans. It helps sports clubs grow revenue by nurturing lifelong relationships with fans through software solutions that include primary ticketing and fan engagement apps. Jump's solutions are designed in collaboration with over 70 professional sports teams from major leagues such as the NBA, NHL, NFL, MLS, and MLB. They offer tools to manage event inventory and access control, providing a seamless and personalized fan experience to increase fan engagement, attendance, and revenue for sports teams.

📋 Description

• 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 to catch issues before they become critical • Document models and sources so data meaning is discoverable • Build monitoring and alerting for pipeline failures and data anomalies • Optimize Snowflake table design and materialization strategy for performance and cost • Evolve Snowflake access controls and governance, including roles, grants, and security • Understand internal team and external client data needs and translate them into solutions • Apply engineering discipline through version control, CI/CD, and code review • Build data infrastructure and governance supporting AI/ML use cases and reliable access to high-quality data • Work across data platform, analytics engineering, and data infrastructure while shaping architecture and data practices

🎯 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; ability to 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 • Git-based version control • CI/CD for data pipelines • Strong Python skills for building data pipelines, orchestration, and custom transformations • Track record of building testing, monitoring, and alerting into pipelines before something breaks • 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 • Curiosity and willingness to become a subject matter expert • Passion for solving real problems and maintaining high standards • Empathy and appreciation for diverse perspectives • Customer-centric mindset • Passion for exploring and implementing AI technologies • Authorized to work in the U.S. without sponsorship

🏖️ Benefits

• Competitive salary and equity • Remote first • 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