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# Lead Analytics Engineer in United

- **Company:** Energy Jobline
- **Location:** United States
- **Experience:** Expert
- **Salary:** $160,000.0 - $190,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Software as a Service, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Operational Data Store, Operational Databases, Standard Sql, Salesforce Communities, Scripting, Snowflake, Data Lineage, Data Management, Semantic Modeling, Looker Analytics, Api Management
- **Published:** October 2, 2026
- **Apply:** https://www.energyjobline.com/job/lead-analytics-engineer-united-31827537

## About the Role

* 6+ years in analytics engineering, data engineering, BI engineering, or a similar role, with experience building or materially modernizing a warehouse, analytics platform, BI strategy, or governed reporting environment.
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 * Strong SQL and hands-on experience building production data models, plus practical experience with ELT/ETL, ingestion, orchestration, testing, observability, documentation, and data lineage.
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 * Experience with a modern cloud warehouse-Snowflake strongly -and a transformation framework such as dbt, SQLMesh, or a comparable production-grade workflow.
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 * Python or similar scripting experience for automation, ingestion, validation, or API integrations.
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 * Strong experience with semantic modeling and a modern BI or semantic-layer tool. Omni, Looker, LookML, Cube, AtScale, or dbt Semantic Layer experience is especially relevant.
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 * SaaS experience is strongly , especially working with Salesforce and supporting revenue operations, customer success, product usage, adoption, retention, renewals, or ARR reporting., You must be authorized to work full-time in the United States without current or future employer sponsorship.

## Description

It is probably not the right fit if you want a fully established stack, narrowly defined tickets, clean source data, or frequent day-to-day direction. We are looking for a senior builder who is comfortable with ambiguity, can bring order to fragmented operational data, and enjoys owning a foundational platform.