Clera

Senior Data Engineer

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

Open. First seen 6 November 2026.

Apply on the company's site →

About the role

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.

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 Airflow, Dagster, Prefect, or similar tools.
  • Build event-driven systems with messaging or task queues, including retries, dead-letter queues, and controlled replay.
  • Preserve original payloads in Google Cloud Storage and transform them with dbt into raw, standardized, and curated layers.
  • Implement idempotent upserts and safe retries to prevent duplicate records and data corruption.
  • Define data contracts, automated validation, pipeline tests, and monitoring for freshness and failures.
  • 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 across multiple sources, from architecture through ongoing operations.
  • Production experience with workflow orchestration, including dependencies, retries, and failure recovery. Airflow is preferred; Dagster, Prefect, Temporal, or comparable tools are relevant.
  • Hands-on production experience with dbt and Google Cloud Platform.
  • Strong Python skills, including asynchronous HTTP and concurrent processing with asyncio, aiohttp, HTTPX, or similar tools.
  • Strong SQL and PostgreSQL skills, including data modeling, query optimization, and incremental loading.
  • Experience with event-driven systems, messaging or task queues, asynchronous processing, and recovery from failures.
  • Experience implementing data contracts, raw and curated storage, retention policies, automated validation, pipeline tests, and monitoring.
  • Web scraping, entity resolution, data enrichment, BigQuery, or Dataform experience is helpful, as is building platforms from scratch in a small team.

Compensation & Benefits

Base salary: $120,000 to $160,000 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 182 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 357 open in Engineering. 225 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 (181 of 357), TypeScript (179 of 357), React (155 of 357), Python (150 of 357), Machine Learning (75 of 357), Supabase (73 of 357), PostgreSQL (69 of 357)

OTHER ROLES ON THIS TEAM

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

Posting history

Reposted 6 times since 17 October 2026: a posting for this role in remote was taken down and the role was posted again.

Salary context

110 other open postings titled Senior Data Engineer state a salary: median USD 150,400 to USD 199,000 a year.

See Data Engineer salaries in Remote →

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