Technology

Data Engineer -- Onsite -- Only W2 Profiles

Trebecon LLCSalt Lake City, UT🇺🇸United StatesPosted Oct 1, 2026

Why This Role Stands Out

This Data Engineer role offers significant opportunities to build impactful data solutions using Databricks and Python, allowing you to grow your technical expertise within a reputable company. If you are a mid-senior level engineer skilled in Databricks, Python, PySpark, and SQL, you will thrive in this dynamic, onsite position. Apply today to contribute to innovative data projects and advance your career!

Quick Overview

Seniority

Mid Senior

Work mode

On Site

Location

Salt Lake City, UT, United States

Posted

Yesterday

SQLETLAgileApacheApache SparkData PipelineDatabricksGitPythonRESTReact

Job Description

Role : Data Engineer
Location: Utah – Onsite

Key Responsibilities

Design, develop, and implement scalable data engineering solutions using Databricks.
Develop robust data pipelines and ETL/ELT processes using Python and PySpark.
Write complex and optimized SQL queries for data processing and analytics.
Perform Databricks implementation, configuration, and integration across enterprise environments.
Develop and support applications using Databricks Apps.
Build data processing workflows using PySpark and Databricks.
Develop user-facing components and applications using React.js.
Integrate React.js applications with backend data and services.
Optimize data pipelines, queries, Spark jobs, and Databricks workloads for performance and scalability.
Work with large and complex datasets across structured and semi-structured data sources.
Implement data quality, validation, monitoring, and error-handling processes.
Collaborate with architects, developers, analysts, and business stakeholders to understand requirements and deliver technical solutions.
Troubleshoot production issues and perform root-cause analysis.
Participate in application modernization and data platform implementation initiatives.
Follow engineering best practices for version control, testing, documentation, and deployment.

Required Skills

12+ years of overall IT/data engineering experience.
Strong hands-on experience with Python.
Advanced SQL skills.
Strong experience with Databricks.
Hands-on experience with Databricks Apps.
Experience with Databricks implementation and enterprise data platform solutions.
Strong PySpark development experience.
Experience developing applications or UI components using React.js.
Strong understanding of data engineering, ETL/ELT, and distributed data processing.
Excellent problem-solving and communication skills.
Ability to work onsite in Utah.