Senior Data Engineer, DX

Senior Data Engineer, DXAnalytics & Data Science | Salt Lake City, United States | Remote, RemoteDX is headquartered in Salt Lake City, Utah and is one of the fastest-growing SaaS companies globally. We help engineering leaders build high-performing, productive teams. DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more.Our business has scaled profitably and grown rapidly—tripling annual recurring revenue in the last several years.DX recently closed on its acquisition by Atlassian. By joining Atlassian, we will expand our resources, accelerate growth and R&D, and ultimately deliver greater impact to our customers.What You'll DoBuild and maintain data pipelines that extract, transform, and load live product data into research-ready formats (Postgres, data lake, or analytics warehouse)Design and optimize data models tailored to the recurring analyses behind our AI Impact Reports, DX Core 4 benchmarks, and industry-facing publicationsCollaborate closely with the research and engineering teams to understand analytical requirements and translate them into scalable, reproducible data infrastructureEnsure data quality and consistency: you care about definitions, edge cases, and making sure the same question gets the same answer every timeSupport ad hoc data pulls for time-sensitive research and cross-functional requests from Sales, Customer Success, and product teamsDocument everything - schemas, transformation logic, data dictionaries, and pipeline dependencies so that analysts and researchers can self-serve confidentlyWhat We're Looking ForStrong SQL skills: you can write complex queries, optimize performance, and model data for analytical workloadsHands-on experience with Postgres or similar relational databases, including working with semi-structured data (JSONB, nested fields)Experience building and maintaining ETL/ELT pipelines that move data from production systems into analytics-ready formatsComfort working with large, messy, real-world datasets: you know how to clean, normalize, and validate data at scaleStrong documentation habits: you write clear schema docs, data dictionaries, and pipeline runbooks without being askedSelf-motivated and reliable: you can manage recurring deadlines (e.g., quarterly reporting cycles) with minimal oversightWhy This RoleHigh visibility: The data you shape will underpin reports cited by engineering leaders at the world's largest software organizationsHigh ownership: You'll own the full data pipeline from raw product data to research-ready datasets.Meaningful domain: You'll work at the intersection of developer experience, AI measurement, and engineering productivity, a space that's defining how the industry thinks about software developmentResearch-backed environment: Our team includes the researchers behind the DORA, SPACE, and DevEx frameworks. You'll be building the data infrastructure that makes their work possible