Senior Data Engineer
Free to start · No card · 5 credits the moment you sign up
Job description
About the Role
Join a data infrastructure and analytics team building a platform that turns information from many sources into reliable, current company intelligence. You will own the platform end to end, from architecture and ingestion through production operations, helping power downstream products with trusted data.
What You'll Do
Design and build a multi-source data platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows.
Ingest data from provider APIs, webhooks, files, and web scraping, with rate limiting and robust failure handling.
Orchestrate scheduled workflows and historical backfills using tools such as Airflow, Dagster, or Prefect.
Build messaging and task queue workflows with retries, dead-letter queues, and controlled replay.
Preserve original payloads in Google Cloud Storage and transform data with dbt into raw, standardized, and curated layers.
Develop idempotent upserts, data contracts, automated quality checks, pipeline tests, and monitoring for freshness and failures.
Design and optimize PostgreSQL schemas and loading patterns for reliable downstream use.
Integrate data enrichment and LLM-based structured extraction into the platform.
What We're Looking For
5 to 10 or more years of experience, including production ownership of multi-source data platforms from architecture through deployment and ongoing operation.
Strong hands-on experience with Airflow or similar orchestration tools, dbt, and Google Cloud Platform.
Experience building event-driven systems with messaging or task queues and asynchronous processing.
Strong SQL and PostgreSQL skills, including data modeling, query optimization, and incremental loading.
Proficiency in Python and concurrent or asynchronous processing, such as asyncio, aiohttp, or HTTPX.
Practical web scraping experience with tools such as Scrapy, Playwright, or Selenium.
Experience with data contracts, storage layers, and automated data quality checks. Entity resolution is valuable; BigQuery, Dataform, and LLM-based structured extraction are helpful.
Comfort working in a startup or small team with broad ownership and adaptability.
Compensation & Benefits
Visa sponsorship is not available.
Location
Remote.
Originally posted on Himalayas
Prepare your application
Use the description above to assess your fit for Clera. This checklist is guidance from Resumize, rather than additional requirements from the employer. Imported listings can be shortened or change after collection, so confirm the complete description and current availability before sending an application.
Match requirements to evidence
Identify the responsibilities and skills the employer explicitly names. For each important requirement, choose one example from your work, education, training, or projects. Explain what you did, how you did it, and what changed as a result. Include a measurable outcome when you can support it. If you lack a requirement, describe related experience accurately instead of adding an unfamiliar skill to your resume.
Put the most relevant examples near the top of your resume. Keep job titles, dates, qualifications, and contact details consistent across your application materials. Use the employer’s terminology when it describes your experience accurately; a copied list of keywords does not explain your contribution. A short, specific bullet is easier to review than a paragraph that mixes several unrelated duties.
Check the working arrangement
Confirm the location, schedule, employment type, and any eligibility requirements on the employer’s site. A remote label does not establish worldwide eligibility or flexible hours. If compensation, benefits, equipment, travel, or contract duration are missing from this listing, write down your questions for the recruiter. Do not assume details from another opening at the same company apply to this role.
Review before submitting
Follow the employer’s requested file format and application instructions. Open your exported resume and check that its text is selectable, its sections read in order, and its links work. Proofread names, dates, and contact information. Share confidential work samples only when you have permission, and use an anonymized example when necessary.
Submit through a trusted employer or recruiting destination. If the original listing has disappeared, search the employer’s careers page for the title rather than assuming the vacancy remains open. Save the application date, job reference, and the version of your resume you sent. Those details help you prepare for a later conversation and avoid submitting conflicting information through several job boards.
Review your resume for writing and readability feedback, or browse other openings if this opportunity is unavailable.