Project - Data Engineer II at Deloitte
Hermitage, TN
$76,725–$127,875from the description
Jul 28, 2026
Hermitage, TN
Jul 29, 2026
What this job asks for AI summary
A consulting data engineering role at Deloitte focused on designing, building, and operating production-grade data pipelines and curated datasets for large-scale client programs. The work centers on AWS-based batch and near-real-time pipelines, Snowflake data modeling and optimization, Python component development, and ELT orchestration. Suited to an engineer comfortable working within a long-term onsite client delivery model with minimal travel.
Mid level · 4+ years · Full-time
Advertised as Senior, but the requirements read as Mid.
“or” means any one of them counts — you don't need all of them.
Posted 7 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 29, 2026. It is a model, not a headcount.
Why we read it this way (8)
The title includes 'Senior Analyst', which maps to the Senior advertised level; however, the hard requirements (4+ years, no org-wide scope) support a Mid classification.
Snowflake and PySpark are listed together as interchangeable options for the 4+ year SQL/Python requirement ('Snowflake and/or PySpark'); they are captured as a single required skill with PySpark as an alternative. PySpark is also listed separately as a preferred skill given its broader standalone use in the stack.
AWS is required but Azure and GCP are explicitly stated as acceptable alternatives — captured accordingly.
Delta and Parquet appear together as file format examples under a single optimization requirement; Parquet is used as the primary name with Delta as an alternative.
CI/CD, version control, and Infrastructure-as-Code are grouped under 'DevOps principles' in the requirements block; CI/CD is extracted as the representative named technology. Version control and IaC are generic concepts rather than named tools and are omitted per extraction rules.
Data integration frameworks and orchestration tools are mentioned as required but no specific tool (e.g., Airflow, dbt) is named — no skill emitted for these generic references.
The Bachelor's degree is listed as 'preferably' in a specific discipline, and equivalent experience is explicitly accepted, so the degree requirement is set to None.
The compensation range ($76,725–$127,875/year) is stated as not adjusted for geographic differential.
Read the full posting
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