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Distant via Greenhouse

Senior Data Engineer

Location not stated senior
still open verified 1d ago posted 152d ago seen just now
Apply at job-boards.greenhouse.io

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 152d ago

The date the source published, not the day we noticed it (2026-05-11). Last seen at its source just now.

We have tracked this listing since 9 Oct 2026 (1 days). The employer's own board has carried it every time we have read it, most recently just now.

Is it remote?

Remote

That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.

Who may apply?

Not stated

The description states no restriction of its own. This is the source's own tag.

Skills named in the ad

Data ModelingLinuxPerformance OptimizationPythonSQL

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

Cheesy joke to get you to smile:

Two SQL transactions ask a minister to marry them, but the minister replies, "Only if you're willing to commit."

Summary:

We are seeking a hands-on Data Engineer who is skilled in building complex systems beyond just writing queries. This role focuses on SQL Server in both Linux and Windows environments and requires versatility across various tools, including PowerShell, APIs, Python, and emerging AI/LLM technologies. If you enjoy stretching your expertise beyond SQL and want to contribute to innovative solutions, this position is for you. The role is for one of our North American clients with proprietary software for the insurance industry.

 

Responsibilities:

  • Design, build, and optimize complex SQL Server solutions, emphasizing performance tuning, indexing, and data modeling.
  • Manage relational and semi-structured data, including JSON stored in SQL Server and multi-dimensional datasets.
  • Query and transform JSON using native SQL Server tools, such as OPENJSON and JSON_VALUE.
  • Use PowerShell, SQL Server tools, and scripting to automate processes.
  • Enhance functionalities by integrating with APIs and external systems.
  • Address problems comprehensively, focusing on end-to-end solutions beyond the database layer.
  • Operate within a complex, multi-system application environment, avoiding isolated reporting or analytics tasks.
  • Explore and implement LLM-driven workflows, including prompting and structured outputs.
  • Continuously enhance efficiency by replacing manual processes with automation.

Required Skills:

  • Proficient in SQL Server, including query performance, indexing, and data modeling.
  • Experience handling JSON in SQL Server and managing hybrid data models.
  • Experience with PowerShell or similar scripting languages for automation purposes.
  • Ability to work across multiple systems, including databases, APIs, and services.
  • Proven ability to deliver effective solutions in a timely manner.

Preferred Skills:

  • Background in smaller teams with end-to-end system ownership.
  • Experience in complex application environments rather than isolated reporting or analytics settings.
  • Capability to navigate and solve problems without detailed requirements.
  • Experience in insurance, financial services, or other regulated, transaction-heavy domains.
  • Python experience and familiarity with APIs and integrations.
  • Exposure to LLMs like OpenAI and Claude.
  • Experience developing internal tools or automation frameworks.
  • Experience with cloud or hybrid infrastructure.

This is a fully remote position, offering the flexibility to work from anywhere. If you are ready to take ownership and thrive in a fast-paced, adaptive environment, we encourage you to apply!

Apply at job-boards.greenhouse.io