See how much of this job your resume covers, and what’s missing.
Want a recruiter to go through it line by line?
Get professional reviewQuestions interviewers often ask for this role, with sample answers.
Upload your resume and we draft a letter for this exact role, tailored to what it asks for.
Design and operate a multi-source data platform for ingestion, event-driven processing, and orchestrated batch workflows. Develop robust data pipelines using tools like Airflow and dbt to ensure reliable, standardized company intelligence.
Build and operate a data platform that turns information from multiple sources into reliable company intelligence. You will own the platform end to end, from architecture and ingestion through production operations, supporting products that depend on trusted, up-to-date records.
Design a multi-source platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows.
Build ingestion for provider APIs, webhooks, files, and web scraping, with rate limits and robust failure handling.
Orchestrate scheduled workflows and historical backfills using tools such as Airflow, Dagster, or Prefect.
Develop event-driven systems with messaging or task queues, including retries, dead-letter queues, and controlled replay.
Store original payloads in cloud object storage and transform them with dbt into raw, standardized, and curated layers.
Implement idempotent upserts, safe retries, data contracts, automated validation, pipeline tests, and monitoring.
Design and optimize PostgreSQL schemas and loading patterns for downstream use.
Integrate data enrichment and structured extraction using language models.
At least 5 years building and operating production data platforms across multiple sources; 8 or more years is preferred.
Production experience with workflow orchestration, especially Airflow, and hands-on experience with dbt and Google Cloud Platform.
Experience building event-driven systems and asynchronous processing with messaging or task queues.
Strong SQL, PostgreSQL, and Python skills, including data modeling, incremental loading, asynchronous HTTP, and concurrent processing with tools such as asyncio, aiohttp, or HTTPX.
Experience with web scraping, including rate limiting and failure handling, is valuable.
Entity resolution, data enrichment, BigQuery, Dataform, or language model-based structured extraction experience is a plus.
Comfort working with broad ownership and changing priorities in a startup or small engineering team.
Visa sponsorship is not available.
Remote.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Featuring 223,103+ Jobs in Data Engineer
Answer easy questions
223,103+ jobs across 15+ categories
Get your best job matches
Only hand-screened, legit jobs
Find a remote job faster
No ads, scams, or junk
“I was the first applicant for a remote marketing position that got listed on the company website the same day I applied. Had an interview within 48 hours!”
— Sarah J.
·
Marketing Manager
★★★★★
Verified
