Senior Data Engineer (Remote)
Zencastr - San Francisco, CA
Hiring: Senior Data Engineer (Remote) Company: Zencastr Location: San Francisco, CA Job Posted Time: 2026-09-16 20:34:58 Target Skills & Keywords : Accessibility, Airflow, BigQuery, Business Analysis, Dagster, Data Pipeline, Data Warehouse, ELT, ETL, MongoDB, Prefect, Pub/Sub, Redshift, SQL, Segment, Snowflake, Spark, dbt About the job Experience: •5+ years of experience specifically in data engineering, analytics engineering, or a closely related role, including having built and owned a dimensional model in production Required Skills: •As our first dedicated Data Engineer, you will build and own the data foundation that powers analytics, reporting, and decision-making across the organization. This is a hands-on role where you'll design the dimensional model, own the pipelines that feed it, and establish the standards our data practice is built on. •Work cross-functionally to understand how data is generated and used, and translate those needs into scalable models and structured reporting layers. A central part of the work is identity resolution: building the spine that reliably connects the same entity as it appears across systems that each have their own identifiers and lifecycles. •This role is ideal for someone who enjoys owning data systems end to end — from ingestion and transformation through modeling, governance, and performance — and who wants the autonomy to design a warehouse properly, with colleagues who can help you understand the business behind the data. •Design and build a conformed, Kimball-style dimensional model across our operational, behavioral, and transactional data •Own ingestion end to end, including capturing change over time from sources that don't preserve history natively •Consolidate transformation logic that currently lives in more than one place into a single governed, tested layer •Implement and manage our data warehouse and transformation layer, taking ownership of the pipelines that move data from our operational systems into it •Establish foundational best practices for data modeling, documentation, testing, and governance Qualifications: •Change data capture patterns from operational databases •Subscription billing data — proration, refunds, failed payments, trials Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!