Data Engineer

Skimmer

Data Engineer building and maintaining data models and reports that power Skimmer product. Collaborating across teams to create reliable and performant reporting experiences.

Posted 7/3/2026full-timeRemote • Alabama, California, Florida, Illinois, Kansas, Kentucky, Maryland, Missouri, North Carolina, Ohio, Oregon, Rhode Island, Tennessee, Texas, Virginia • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudETL.NETPythonSQL

About the role

Key responsibilities & impact

Build and maintain the data models and transformations that power reporting in the Skimmer product, leveraging tools like Fivetran transformations, dbt, and Sigma Computing materializations
Build and maintain customer-facing data models and reports in Sigma Computing, embedded within the Skimmer application
Manage and extend ingestion using Fivetran across a growing set of sources
Develop and maintain data transformations in Python and SQL against our Snowflake data warehouse
Partner with product and engineering to turn customer needs into reliable, performant reporting experiences
Collaborate with application engineers to understand source systems and ensure clean, reliable data capture
Monitor data quality, reliability, and report performance, and troubleshoot issues as they arise
Document data models, definitions, and architecture to support a growing team

Requirements

What you’ll need

Disciplined Problem-Solving: Proven ability to decompose complex business problems into structured, executable plans. You prioritize understanding the 'why' and 'how' of data before implementation.
Proactive Communication: Comfortable identifying ambiguity and proactively seeking clarity from stakeholders rather than making assumptions.
Ownership of Quality: A strong sense of ownership—you don't consider a task 'done' until it is validated, performant, and meets the documented requirements.
Demonstrated experience in data engineering, with a track record of owning data infrastructure end to end
Strong SQL skills and hands-on experience with a cloud data warehouse (Snowflake preferred)
Proficiency in Python for data transformation and automation
Experience working with C#/.NET application environments and partnering with application engineers on source systems
Experience with managed ingestion and transformation tooling (Fivetran, dbt, or similar)
Hands-on experience building data models and reports in a BI/analytics platform (Sigma Computing a strong plus), ideally embedded in a customer-facing product
Proficiency with AI coding tools like Claude or Cursor to work efficiently and raise your output
Solid understanding of data modeling concepts and ELT/ETL best practices
Strong communication skills and comfort working with both technical and non-technical partners
Nice to Have: Experience with embedded analytics or customer-facing reporting at scale
Experience building data products in a SaaS or product-led company
Experience with rigorous code review processes and contributing to maintaining high engineering standards within a team.

Benefits

Comp & perks

Competitive base pay + bonus potential
Generous medical, dental, and vision plans (we pay 100% of your premium and 50% of your dependents’)
Fantastic culture with a very strong eNPS- we work hard, celebrate wins, and learn as we go to always be improving to benefit our customers.
Immediate access to 401(k) with company match
Flexible PTO (MINIMUM of 10 days required every year)
12 weeks paid parental leave for birthing parent, 6 weeks paid leave for supporting partner
Remote work friendly
Comprehensive learning and development budget
A manager dedicated to your development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data EngineeringSQLPythonData ModelingELT/ETL Best PracticesData TransformationData Quality MonitoringData ReportingCloud Data WarehouseManaged Ingestion

Soft Skills

Disciplined Problem-SolvingProactive CommunicationOwnership of QualityCollaborationStrong Communication Skills