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Principal Data EngineerUpside • United States
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Principal Data Engineer

Upside
  • US
    United States
  • US
    United States
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Über

Principal Data Engineer
We're looking for a Principal Data Engineer to be the technical backbone of our Analytics Engineering team. You'll architect and evolve the data platform that powers Upside's most critical product and business decisions: setting patterns, leading cross-functional workstreams, and raising the bar for how data moves through the company. This is a role for someone who wants real ownership. Our team is small and intentional, our scope is large (~2,000 tables, 100 pipelines), and the work directly shapes product features, ML models, and business outcomes. If you do your best work when the problem is ambiguous and the impact is visible, this is the role for you. Here are some ways you'll drive impact: Lead platform modernization; deprecate legacy workflows, migrate pipelines to scalable patterns, and sharpen our CI/CD and developer experience Drive infrastructure and FinOps initiatives across Snowflake, Dagster, and dbt; reducing cost, improving governance, and increasing maintainability Own platform evolution projects like making data consumable by agentic tools and workflows, and improving orchestration across the analytics stack Design and deliver complex, domain-critical data products used by analysts, data scientists, and product teams to ship features and drive strategy Architect reusable, extensible patterns for modeling, orchestration, and transformation; balancing flexibility, cost, and long-term maintainability Lead technical planning across cross-functional teams, breaking down large data initiatives into scoped, sequenced workstreams Mentor engineers, build internal documentation and tooling, and raise the overall standard for analytics engineering at Upside Partner with engineering, product, data science, and business stakeholders to deliver end-to-end solutions Represent Data Engineering in design forums and shape the future roadmap for data at Upside Why you should apply: You challenge the status quo when it makes the team and business better and use data to make the case You thrive at the intersection of systems and storytelling; building robust solutions and communicating their purpose so others can act confidently You build for resilience and scale, and know when to invest in observability, automation, or new infrastructure to reduce toil You believe quality starts upstream; you champion early testing, validation, and a culture of getting it right before it breaks downstream Ideal qualifications: 8+ years in data or analytics engineering with a track record of owning complex, business-critical systems end to end Hands-on experience with AWS; deployments, workload management, cloud infrastructure and the modern data stack (Snowflake, dbt, Dagster, Databricks, Terraform) A track record of leading platform migrations, deprecations, or upgrades across shared systems; balancing technical risk, continuity, and long-term maintainability Ability to design secure, reusable patterns for data ingestion, access control, and platform automation and comfort partnering with Infrastructure, Security, and Governance stakeholders Experience with DevOps practices (CI/CD for data), data governance, or FinOps Ability to break down ambiguous, cross-functional problems and lead implementation from design to deployment Clear communication across all audiences; engineers, analysts, product managers, and business leaders A genuine drive to mentor others, set standards, and leave every system better than you found it Preferred qualifications: Experience supporting ML workflows; building features or monitoring model inputs and outputs Background in a fast-growing startup or on platform-style teams that serve internal customers Engineering culture: We want our engineers to have the time and support to grow in their craft and contribute meaningfully to impactful technical decisions. Engineers are encouraged to focus deeply on their work, collaborate effectively with team members, and continuously develop their skills. Teams are thoughtfully staffed to create a dynamic and diverse environment that enhances learning and innovation. Location: Remote Compensation: The US base salary range for this full-time position is $215,000 - $250,000 + equity + benefits. The final starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. Your recruiter can share more about the specific salary range during the hiring process. Benefits: Medical, dental, and vision coverage starting on Day 1 Equity (ISOs) 401(k) program Family planning programs + paid parental leave Physical fitness and wellness memberships Emotional and mental health support programs Unlimited PTO + 10 paid federal holidays + our annual, week-long Winter Break Flexible work environment Lunch reimbursement for in-office employees Employee Resource Groups Learning and Development stipend Transparent culture Amazing mission! Diversity and inclusion: Diversity drives innovation, and our differences make us stronger. We're passionate about building a workplace that represents a variety of backgrounds, skills, and perspectives, and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Everyone is welcome here! If there's anything we can do to support a disability or special need during your application or interview process, please email accommodations@upside.com. This email is for accessibility accommodations only, it should not be used to submit job applications. Notice to recruiters and placement agencies: This is an in-house search with a dedicated recruiter. Please do not submit resumes to any person or email address at Upside. Upside is not liable for, and will not pay, placement fees for candidates submitted by any party or agency other than its approved recruitment partners.
  • United States

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