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Clera

Senior Data Engineer

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

Open. First seen 20 October 2026.

Apply on the company's site →

About the role

About the Role

Join an early-stage data infrastructure company building a platform that transforms information from multiple sources into reliable, current company intelligence. You will own the data platform end to end, from architecture and ingestion through production operations, helping ensure trusted data powers downstream products.

What You'll Do

  • Design and build a multi-source platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows.
  • Develop resilient intake from provider APIs, webhooks, files, and web scraping, including rate limits and failure handling.
  • Orchestrate scheduled workflows and historical backfills with tools such as Airflow, Dagster, or Prefect.
  • Build event-driven processing with messaging or task queues, including retries, dead-letter queues, and controlled replay.
  • Store original payloads in Google Cloud Storage and use dbt to transform data into raw, standardized, and curated layers.
  • Implement idempotent upserts, data contracts, automated validation, pipeline tests, and monitoring for freshness and failures.
  • Design and optimize PostgreSQL schemas and loading patterns for downstream use.
  • Integrate provider enrichment and LLM-based structured extraction into the platform.

What We're Looking For

  • At least 5 years building and operating production data platforms, with ownership from architecture through deployment and ongoing support; 8 or more years is a plus.
  • Production experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or Temporal, including dependencies, retries, and recovery.
  • Hands-on production experience with dbt and Google Cloud Platform.
  • Strong Python skills, including asynchronous HTTP and concurrent processing with tools such as asyncio, aiohttp, or HTTPX.
  • Strong SQL and PostgreSQL experience in data modeling, query optimization, and incremental loading.
  • Experience building event-driven systems and implementing data contracts, retention policies, validation, testing, and monitoring.
  • Web scraping, entity resolution, data enrichment, and LLM-based extraction experience are helpful.
  • Comfort working with broad ownership and changing priorities in a small team; BigQuery and Dataform familiarity 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 residence is not required.

What this role asks for

Particular to this role

BigQuery · dbt

Rare in Clera's other 299 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 349 open in Engineering. 283 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 (157 of 349), Python (149 of 349), TypeScript (144 of 349), React (117 of 349), Machine Learning (85 of 349), PostgreSQL (64 of 349), JavaScript (59 of 349)

OTHER ROLES ON THIS TEAM

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

Other openings for this role

4 open postings for this role in remote, first posted 17 October 2026. The company is likely hiring for more than one position. None has been taken down and posted again.

Salary context

100 other open postings titled Senior Data Engineer state a salary: median USD 150,400 to USD 196,500 a year.

See Data Engineer salaries in Remote →

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