Jobs at Watershed

Positions 1,201

Watershed is a data quality and observability platform company that helps enterprises maintain clean, compliant data pipelines. Founded in 2019 and headquartered in Seattle, the company rapidly scaled to serve Fortune 500 customers across finance, healthcare, and retail. Its flagship product, Watershed Data Quality Platform, runs in real time and integrates with Kafka, Flink, and Snowflake, giving data teams instant visibility into errors and drift.

Watershed hires software engineers (Go, Python, Java), data engineers, data scientists, cloud architects, and product managers. The company also offers sales, marketing, and customer success positions for candidates who thrive in a growth‑first, cross‑functional environment. Candidates can expect rigorous code reviews, pair programming, and a 40‑hour workweek with flexible remote options.

Job Transparency’s Watershed listings provide full salary ranges, % of employees who received raises, and sentiment scores from current and former staff. By comparing the listed compensation against your experience and location, you can target roles that match your financial goals and negotiate with confidence.

No open positions at Watershed right now.

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Frequently Asked Questions

What is it like to work at Watershed?
The work culture at Watershed emphasizes data ownership, continuous learning, and rapid iteration. Employees collaborate across engineering, product, and data science teams in bi‑weekly sprint reviews. The company hosts monthly hackathons and offers a stipend for learning new tools. Remote work is supported with a flexible schedule, and the engineering stack includes Go, Python, TypeScript, and Kubernetes.
What types of positions are available?
Watershed currently lists roles across software engineering, data engineering, data science, cloud infrastructure, product management, UX design, sales, marketing, and customer success. Engineering roles cover backend, frontend, and full‑stack development with a focus on real‑time data pipelines. Non‑engineering roles include growth marketing, sales enablement, and technical support.
How can I stand out as an applicant?
Showcase relevant experience with streaming data platforms (Kafka, Flink), build a small demo that highlights data quality checks, and contribute to open source projects related to observability. Highlight measurable outcomes—such as reducing data latency by 30% or improving error detection rates—using precise metrics. Finally, tailor your resume to include keywords from the job description and prepare for a technical interview that covers system design, algorithm challenges, and a live coding session in Go or Python.

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