Senior Data Engineer

Clera

Remote Full-time $120K – $160K/yr 4 days ago
Workplace
Remote

Check your CV against this job

Free · No signup · A 0–100 ATS match score and the keywords you're missing.

Check my CV free

$14.99/month in most countries, cancel anytime. Already have an account? Log in

About the role

About the Role

Join a data infrastructure team building a platform that turns information from multiple sources into reliable, up-to-date company intelligence. You will own the platform end-to-end, from ingestion architecture to production operations, supporting data products with trusted records.

What You'll Do

* Design and build a multi-source 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 queue-based event systems with retries, dead-letter handling, and controlled replay.

* Preserve original data in cloud storage and transform it with dbt into raw, standardized, and curated layers.

* Implement idempotent loading, data contracts, validation, pipeline tests, freshness monitoring, and failure alerts.

* Design and optimize PostgreSQL schemas and loading patterns, and integrate enrichment and LLM-based structured extraction.

What We're Looking For

* At least 5 years building and operating production data platforms, with ownership from architecture through ongoing operations; 8 or more years is a plus.

* Production experience with workflow orchestration such as Airflow, Dagster, Prefect, or Temporal, including dependencies, retries, and failure recovery. Airflow is preferred.

* Hands-on production experience with dbt and Google Cloud Platform.

* Strong Python skills, including asynchronous HTTP and concurrent processing with asyncio, aiohttp, or HTTPX, plus strong SQL and PostgreSQL skills.

* Experience with messaging or task queues, data contracts, raw and curated storage, retention policies, automated validation, and monitoring.

* Web scraping experience with tools such as Scrapy, Playwright, Selenium, or Beautiful Soup is valuable, as is experience with entity resolution, data enrichment, or LLM-based extraction.

* Experience building platforms from scratch or working with broad ownership in an early-stage team is a plus.

Compensation & Benefits

Base salary: $120,000 to $160,000 USD annually. Visa sponsorship is not available.

Location

Remote within the United States. New York-based candidates are welcome, but New York residency is not required.

About remote Data Engineer jobs

Open jobs
816 open remote Data Engineer jobs, 191 of them posted in the last 7 days. See all Remote Data Engineer jobs
Typical advertised pay
$127,000 – $189,000 a year for the middle half of the 209 job ads from 143 employers that state a salary in US dollars (median $153,000). This is base pay as advertised, not total compensation. Remote Data Engineer salary
Skills the job ads ask for most
  • SQL 79%
  • Python 79%
  • ETL 75%
  • Data modeling 50%
  • Data quality 49%
  • AWS 47%

Share of the 470 newest postings for the role that name each skill. Resume keywords for Data Engineer jobs

Tools and guides for your application

Get matched & apply with FindAJobAI

Upload your resume once. We score every job against your profile, tailor your resume and cover letter, and autofill the application.