Data Engineer
verasightUnited (PA)
About the role
Verasight was founded by and for academic researchers. We are building the future of survey research with unparalleled data quality and a re-imagined survey respondent experience. Our team recognizes the importance of high-quality data for our customers to make key decisions that affect academic research, national policy, the direction of Fortune 500 companies, and the public conversation. The following information aims to provide potential candidates with a better understanding of the requirements for this role. We are looking for a Data Engineer to build the tools and data infrastructure behind our survey research. We are a scrappy team, and you will work directly with our data science team to build Verasight and to expand access to high-quality survey data. This role reports to the VP of Data Science. We depend on colleagues who are diverse, team-oriented, novel thinkers, and passionate about redefining the survey research landscape. Verasight works to create a welcoming community in which all individuals are respected and included. Does this position sound like a good fit? In addition to applying on LinkedIn, email us at Include this role's title in your subject line (it'll help us to sort through the emails) Include your CV/Resume, a one-paragraph statement of interest, and a link to your GitHub profile (if available) Meet the Verasight team here: the RoleOur data scientists field surveys, clean and weight data, monitor panel quality, and deliver results to clients. Much of the tooling that makes that work fast and trustworthy includes R packages for reporting, pipelines for survey fielding and recruitment, cost and margin tracking, panel quality monitoring, and AI-assisted tools that turn questionnaires into live surveys. You will help own and extend that tooling. Your customers are our data scientists. Your job is to understand how they work well enough to build tools that make their work faster, more reliable, and easier to audit. You'll see the whole system end to end and ship right-sized solutions.
Responsibilities:
- Build and maintain internal tools, packages, and pipelines (largely R and Python) that remove bottlenecks from survey fielding, data cleaning, weighting, reporting, and panel monitoring
- Work alongside data scientists on live projects to learn their workflows before automating them, so the tools fit how people actually work
- Respond quickly when a data scientist hits a wall; you'll often be the first call
- Scope problems well: decide whether a need calls for a script, a package, a scheduled job, a service, or nothing at all
- Use AI coding and analysis tools as a real part of your workflow, verify what they produce, and help shape what responsible AI use looks like at Verasight
Partner with Verasight leadership on where our data infrastructure should go, solving today's problems in ways that help us move into the future.
Required Qualifications:
- 2+ years writing code that other people depend on, in Python or R, and willingness to work in the other
- Comfort with SQL and relational databases
- Working fluency with Git, GitHub, and code review
- Some experience with cloud services or managed platforms (we use AWS, Supabase, Railway, and Vercel, among others); we care more that you can learn a platform and less about the specific stack you’re most comfortable with today
- Sound security instincts: you keep secrets out of code, think about who can access what, and handle sensitive data carefully
- Hands-on experience using AI tools to write or review code, and informed opinions about where they help and where they don'tExcellent written communication, including clear READMEs and short design notes
- Willingness to operate independently and desire to constantly innovate
- Commitment to working in an inclusive environment
Preferred:
experience with survey data or Qualtrics, R package development, CI/CD (GitHub Actions), containers or infrastructure-as-code, scheduled data pipelines, familiarity with survey methodology (weighting, sampling, data quality checks) We don't require a computer science degree, experience at a large tech company, or years on a specific big-data stack. If this sounds like you and you're unsure about a bullet, apply anyway.
Benefits:
- Competitive salary based on experience 401(k) with company matching
- Health insurance
- Gain experience working directly with government agencies, nonprofits, academic researchers, and corporations
- Remote work
About Us:
Founded by Peter Enns (Cornell Professor of Government & Public Policy) and Ben Leff (Stanford GSB and ex. Goldman Sachs), Verasight was built by and for academic researchers. Our customers include national media organizations, Fortune 500 companies, national and state government agencies, investors, brands, and researchers. xhqgsiq We are looking for bold leaders to join our team to re-invent what it means to collect and analyze survey data.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.