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Clera

Senior Data Engineer

remote
Level
Senior
Work type
Remote
Visa
Not offered

Not stated in the posting: salary.

Open. First seen 17 October 2026.

Apply on the company's site →

What this role asks for

Particular to this role

Airflow · BigQuery · Playwright · Scrapy · Selenium · 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.

Read against Clera's other open postings on this site.

The team: Engineering HIRES STEADILY

This role is one of 292 open in Engineering. 226 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 (135 of 292), TypeScript (131 of 292), Python (123 of 292), React (107 of 292), Machine Learning (70 of 292), PostgreSQL (58 of 292), JavaScript (55 of 292)

OTHER ROLES ON THIS TEAM

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

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, 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.

Salary context

101 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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