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Senior Data Engineer

Ditto

Salary not specified
Aug 20, 2025
Remote, US
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Ditto is redefining how data moves at the edge. Our mission is to make it seamless for developers to build resilient, real-time applications, regardless of network conditions. This role sets up our end-to-end data platform (warehouse, ingest, orchestration, BI) so every team has trustworthy, timely, self-serve insights, directly supporting our mission of resilient data everywhere.

Requirements

  • 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.
  • Experience with ingest tools (Fivetran, Airbyte, Stitch) and reverse ETL; familiarity with common SaaS/DB sources.
  • 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).

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

Other

  • Excellent cross-functional communication; you translate fuzzy questions into data products and measurable outcomes aligned to Ditto’s edge-first world.
  • If you're excited about our mission but don't meet every requirement, we encourage you to apply anyway. Use your application to tell us how you’ll make an impact here.
  • We believe success isn’t defined by a flawless resume, a set number of years of experience, or checking every box in a job description. What matters most to us are qualities like grit, resilience, and adaptability.