Clera

Senior Data Engineer

remote
Salary
$120,000 - $160,000 annually
Level
Senior
Work type
Remote · US only
Visa
Not offered

Open. First seen 29 October 2026.

Apply on the company's site →

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.

What this role asks for

Particular to this role

Airflow · Playwright · Scrapy · Selenium · dbt

Rare in Clera's other 208 open postings.

Standard for data engineering roles

GCP · Python · SQL

Common in data engineering postings at any company.

Compared with Clera's other open jobs.

The team: Engineering HIRES STEADILY

This role is one of 207 open in Engineering. 141 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (102 of 207), TypeScript (90 of 207), Python (82 of 207), React (77 of 207), Machine Learning (45 of 207), Supabase (37 of 207), JavaScript (36 of 207)

OTHER ROLES ON THIS TEAM

From the team and dates on Clera's own job board.

Posting history

Reposted 3 times since 17 October 2026: a posting for this role in remote was taken down and the role was posted again.

Salary context

99 other open postings titled Senior Data Engineer state a salary: median USD 150,400 to USD 200,000 a year.

See Data Engineer salaries in Remote →

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