Data Engineer at Career Movement
Santa Fe Springs, CA
$270,400–$332,800
Jul 16, 2026
Santa Fe Springs, CA
Jul 21, 2026
What this job asks for AI summary
A hybrid database and data engineering role at a home furnishings retailer modernizing its data infrastructure. Day-to-day work spans SQL Server administration — performance tuning, backups, and security — alongside building and maintaining ETL pipelines and custom tooling in C#. The role also involves contributing to cloud data services on Azure and collaborating closely with a small AI/ML team.
Senior level · National
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
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.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $106,921 (middle half $81,361–$138,439).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role straddles DBA operations (SQL Server administration, backups, tuning) and pipeline/cloud architecture (ETL, Azure Data Factory, Synapse), making it a genuine hybrid between 15-1242 (Database Administrators) and 15-1243 (Database Architects). The emphasis on building cloud-native pipelines and modernizing infrastructure tips the primary classification to 15-1243.
Azure data services are listed with 'or a comparable cloud platform' — Azure Data Factory is named as the primary with Azure Synapse and Azure SQL Database as named alternatives; AWS and GCP are captured as open-ended cloud-platform substitutes.
Power BI is listed under requirements with softening language ('such as'), but it sits firmly in the required section; it is treated as a hard gate on BI tool proficiency, with Power BI as the named example.
SSIS is listed as the ETL tool with 'ideally' softening it slightly, but it appears within the requirements block and is the only named tool — treated as required.
'Data modeling and warehouse design' and 'experience supporting ML/AI data workflows' appear explicitly under the 'Nice to have' section.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): ML/AI data workflows.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.