← All jobs
stradaeducation

Associate Client Data Engineer

This role appears to be closed. Browse the similar open roles below — or let your agent watch for the next opening like it.

Washington, DCOn-siteIndividual contributorvia lever

Observed pay for data engineer jobs in the united states

Among 18 openings that publish compensation, the median stated annual range is $100K–$148K USD. This uses observed listing data across 391 live jobs, never an estimated salary.

Don't apply into the void.

Most applications for this stradaeducation role vanish into an ATS. With jobfinder-ai, your agent finds the actual hiring manager or founder behind this opening and sends a tailored email from your own inbox — so a real person reads your pitch and replies. We then follow up until you land on the calendar.

Reach the decision-maker — $5

View original posting →

About the Role As an Associate Client Data Engineer at CredLens, you will focus on the client-onboarding workflow that brings new credential-issuer data into our platform. You will learn the platform and the fundamentals of production data engineering with direct support from more senior engineers, and gain hands-on experience across the full onboarding workflow, with a clear path to grow into a broader data-engineering role over time. Because so much of the work involves direct client interaction, excellent customer-service skills and clear communication are essential. This is an early-career, hands-on role focused exclusively on onboarding: partnering directly with clients to receive their data, understanding and documenting the data structure, and cleaning, transforming, and validating the data so it is ready for CredLens' data pipeline. This is an excellent opportunity to start a data career from the ground level by continuing to build a data engineering skillset while working in a role that directly impacts end users. You will work within a small, cohesive Data Engineering team, reporting to the Data Engineering Team Lead. The team is based in Washington, DC. This is a hybrid role requiring in-person attendance at the office at least two days a week, likely Tuesdays and Thursdays. Note: this is not a "big data" or "real-time" analytics role. It best suits a mission-aligned individual who cares about using data to create more equitable outcomes and who focuses on quality, reliability, and a smooth client experience.

Set this role as a target and your agent does the sourcing, finds the verified email, writes the pitch, and follows up — on autopilot.

Start your hunt