Use your expertise to build Software Products that rely on data
Deliver business outcomes by either directly owning, or guiding others to build reliable and scalable products
Mentor engineers and analysts on best practices for data quality, reliability, testing, monitoring, and documentation
Partner closely with analytics, product, and engineering teams to identify data requirements and translate them into robust, scalable solutions
Join customer calls (both internal teams and external users) to hear firsthand what problems they're solving and what features actually move the needle
Design and refine data models that underpin product functionality while implementing monitoring systems to ensure reliability and performance
Collaborate with our Data Guild to define the organization’s data strategy influencing decisions on tooling, architecture, and engineering standards
Solve problems side-by-side with team members through a combination of pairing and solo work

Requirements

5+ years of experience in building Products, either in Software Engineering, Data engineering or a closely related role
Strong customer orientation, with a focus on details that drive product impact and customer value
Proven experience building and maintaining production-grade data pipelines
Proficiency in application development
Proficiency in SQL and at least one data engineering language (e.g., Python, Scala, or Java)
Hands-on experience with large-scale data warehouses, regardless of specific tooling
Experience with data visualization and the ability to tell clear, compelling stories with data
Hands-on experience with modern data warehouses and data modeling best practices
Experience working with cloud-based data platforms (AWS, GCP, or Azure)
Familiarity with orchestration tools, version control, and CI/CD best practices
Ability to work independently, make sound architectural decisions, and thrive in ambiguous environments
Strong communication skills and comfort collaborating with both technical and non-technical partners

Benefits

Competitive pay + generous equity (10-year exercise window)
Fully remote (U.S. only) with a $150/month coworking stipend
Half-day Fridays, every Friday
Unlimited PTO—with a *required* 2-week minimum
Top-tier health, dental & vision (100% covered for you, 80% for dependents)
2 “Treat Yourself” days a year—$100 and a day off, just because
Generous parental leave
Epic offsites twice a year (past trips: Greece, Jackson Hole, Cabo, wine country + more)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data engineeringSQLPythonScalaJavadata pipelinesdata modelingdata visualizationcloud-based data platformslarge-scale data warehouses

Soft skills

customer orientationattention to detailcommunication skillscollaborationproblem-solvingmentoringindependencearchitectural decision-makingadaptabilityteamwork