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# Data Engineer - Analytics Engineering

- **Company:** NEXERA CONSULTING LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Automation of Tests, Continuous Integration, Data Governance, Meta-Data Management, SQL Databases, Data Layers, Data Lakes, Pyspark, Databricks
- **Published:** October 20, 2026
- **Apply:** https://computerjobs.com/us/en/mob/job/0DB95F53DDC698C3F5

## About the Role

Essential:

 * Strong experience as an Analytics Engineer within a modern data platform environment.
 * Expert-level SQL and strong hands-on PySpark experience.
 * Strong understanding of dimensional modelling, semantic layers and analytics engineering.
 * Proven experience with Databricks and Lakehouse architectures.
 * Excellent stakeholder management and communication skills.
 * Experience providing technical leadership or mentoring.

Desirable:

 * Experience with Unity Catalog, dbt or similar transformation frameworks.
 * Knowledge of Delta Lake, data governance and metadata management.
 * Experience with CI/CD and automated testing.

## Description

We're looking for a Senior Analytics Engineer to lead the design and delivery of curated, analytics-ready data within our Lakehouse environment.

You'll translate complex business requirements into robust SQL and PySpark pipelines, own the data serving layer, and ensure data is well-modelled, governed, performant and ready for consumption across analytics and BI.

You'll also provide technical leadership and mentorship, helping to establish best practices across the team., * Design and deliver dimensional and semantic data models for analytics.

 * Define and maintain KPIs, conformed dimensions and consistent data definitions.
 * Develop and optimise SQL and PySpark pipelines using Databricks.
 * Ensure high standards of data quality, testing, performance and observability.
 * Lead modelling reviews and contribute to technical and architectural decisions.
 * Work closely with Data Architects, BI teams, analysts and business stakeholders.
 * Mentor and support other Analytics Engineers.
 * Contribute to CI/CD, automation, testing and data governance standards.