Full Stack / Data Engineer at LineTen
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Aug 3, 2026
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Aug 5, 2026
What this job asks for AI summary
A hybrid Developer / Data Engineer role at a startup, responsible for building cloud-native backend services in C# / .NET on Azure, designing and implementing a Microsoft Fabric Medallion data architecture, and acting as third-line production support. The position spans application development, data pipeline engineering, SRE-style reliability work, and early-stage LLM integration — suited to a generalist senior engineer comfortable owning multiple technical domains on a small team.
Senior level
Quick apply — this platform usually takes a CV and a few fields.
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 5, 2026. It is a model, not a headcount.
Why we read it this way (7)
No location is stated anywhere in the posting — CBSA and state are left blank. The role may be UK- or EU-based given the startup framing and absence of US-specific signals, but there is insufficient evidence to set the US-based flag of false, so it defaults to true.
The role is genuinely split between software development (C#/.NET backend, Azure services) and data engineering (Microsoft Fabric, Medallion/Lakehouse architecture, ETL/ELT). Software Developers (15-1252) is chosen as primary because application development and SRE responsibilities are listed first and appear to carry equal or greater weight; Database Architects (15-1243) is the close runner-up given the explicit Fabric/Medallion/Lakehouse design mandate.
LLMs / AI integration is listed under Must-Have but framed as 'familiarity' and 'exposure' rather than deep expertise; it is retained as required because it sits in the Must-Have section. OpenAI and Azure OpenAI are listed as named alternatives.
Terraform and Bicep appear together under Nice-to-Have as IaC options; they are treated as interchangeable alternatives on a single preferred skill.
ETL/ELT pipelines is listed as a required skill but names no specific tool — it is retained as a named capability gate rather than a generic concept, consistent with the posting's explicit framing.
No compensation, employment type, or experience-year floor is stated in the posting.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Medallion architecture.
Read the full posting
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