Lead Data Engineer at Deloitte
Los Angeles, CA
$134,500–$265,100from the description
Jul 22, 2026
Los Angeles, CA
Jul 23, 2026
What this job asks for AI summary
A senior data engineering role focused on designing and delivering Databricks-based data platforms for client engagements at a consulting firm. Day-to-day work spans leading project teams, building scalable data pipelines and models, and advising client stakeholders on architecture and implementation. Suits an experienced engineer comfortable managing delivery workstreams and translating complex business requirements into cloud-based analytics solutions.
Senior level · 6+ years · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 6 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
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013). This posting is about at that midpoint.
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)
No specific work location is stated; the role requires 50% travel on average, suggesting client-site work across the US. No CBSA could be determined.
The title 'Lead Data Engineer' carries no standard seniority level word, so advertised seniority is Unspecified. The 6+ years overall and 2+ years of team-lead experience, combined with client-facing advisory scope, support a Senior classification.
SOC classification is Medium confidence: the role centers on designing and building Databricks/Spark data pipelines and platforms (pointing to 15-1243 Database Architects / data platform engineering), but the heavy software-delivery and Python coding emphasis also fits 15-1252 Software Developers.
Batch and streaming pipeline design, data governance/quality, and platform security controls are listed under Preferred but name no specific tool, so they were omitted per the no-generic-concepts rule.
AWS, Azure, and GCP are listed as interchangeable preferred options; AWS is captured as the primary with Azure and GCP as alternatives.
A Master's degree is listed as preferred, not required; the hard minimum is a Bachelor's degree.
Read the full posting
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