Senior Data Engineer (Remote)

Jobright.ai is an AI-powered career platform that helps you discover verified jobs directly from employer sites across the U.S. and tailor your applications with ease. Please note: Jobright is not a staffing agency and does not hire for these roles directly. Job Summary: Ditto is a fast-growing startup focused on redefining data movement at the edge, ensuring seamless connectivity for applications across various environments. They are seeking a Senior Data Engineer to architect and implement a modern data stack, enabling teams to convert data into actionable insights efficiently. Responsibilities: • Gather requirements from stakeholders and leverage those to architect and stand up Ditto's modern data stack from 0→1: choose and implement the warehouse (Snowflake, Databricks, etc.), transformation, orchestration, and BI layers; establish SLAs, cost controls, and observability. • Create robust data ingest from both common and custom sources; design resilient models that serve analytics, experimentation, and operations. • Implement ELT with managed connectors and/or open-source ingestion; codify transformations with frameworks that bring testing, CI/CD, and data contracts to analytics code. • Orchestrate workflows, alerts, and retries; enforce data quality gates so broken data never reaches stakeholders. • Partner with Product, Ops, and GTM to define clear metrics and a semantic layer; enable self-serve exploration and trusted dashboards in Looker/Omni/Mode, or other. • Provide pragmatic analyst support (SQL debugging, dashboard bootstraps, troubleshooting) to unblock teams while the function scales. • Help scope the next role(s) on Ditto's Data Eng team and help in the hiring process. Qualifications: Required: • Mastery of SQL and strong data modeling instincts; comfortable modeling across a diversity of business domains. • Proficiency in Python. • Proven ability to build (not just maintain) data platforms: selecting tools, setting standards, and delivering from first principles in a fast-changing environment. • Fluency with ELT + transformation frameworks (e.g., dbt or SQLMesh) and with orchestrators (e.g., Airflow, dbt. dagster). • Pragmatic engineering habits: testing, version control, PR reviews, incident management, incident CI/CD, documentation, and observability for data. • Excellent cross-functional communication; you translate fuzzy questions into data products and measurable outcomes aligned to Ditto's edge-first world. • Experience with ingest tools (Fivetran, Airbyte, Stitch) and reverse ETL; familiarity with common SaaS/DB sources. Preferred: • Hands-on with Snowflake or Databricks, and performance/cost tuning at scale. • Built transformations with dbt or SQLMesh and managed semantic layers/metrics for BI (Looker, Omni, Mode). Company: Ditto is an edge-sync platform that allows apps to store, sync, and process data anywhere. Founded in 2018, the company is headquartered in San Francisco, California, USA, with a team of 51-200 employees. The company is currently Growth Stage. Ditto has a track record of offering H1B sponsorships.