W2 only (No C2C)

Overview

Hybrid

Depends on Experience

Contract - W2

Contract - 6 Month(s)

Skills

Azure Databricks

Databricks

Apache Spark

PySpark

Azure Data Platform

Azure Data Factory

Azure Synapse

Delta Lake

MLflow

ETL

ELT

Data Pipelines

SQL

Python

Data Modeling

Data Engineering

Data Wrangling

Data Analytics

Notebook Development

Big Data

Distributed Computing

Performance Tuning

Data Quality

Data Visualization

Cloud Data Engineering

Azure

Analytical Skill

Analytics

Conflict Resolution

Data Analysis

Extract

Transform

Load

Microsoft Azure

Problem Solving

Workflow

Job Details

Role Summary

We are seeking an experienced Azure Databricks Engineer with strong analytical and data engineering expertise. The candidate will design, develop, and optimize scalable data pipelines and analytics solutions using the Databricks platform. This role requires working closely with data scientists, analysts, and business teams to transform raw data into actionable insights.

Key Responsibilities

Develop and maintain ETL/ELT pipelines using Apache Spark and PySpark on Databricks
Collaborate with cross-functional teams to understand data requirements
Implement data quality checks, performance tuning, and scalable data models
Use SQL, Python, and Spark for advanced data analysis and reporting
Monitor, troubleshoot, and optimize data workflows for reliability and accuracy

Required Skills

Hands-on experience with Databricks, Apache Spark, PySpark, and Azure data platforms
Strong SQL and Python skills
Experience with data modeling, data wrangling, and analytics
Familiarity with Delta Lake, MLflow, and notebook-based development
Strong problem-solving and analytical skills
Ability to interpret complex datasets and communicate insights effectively

Minimum Experience

10+ years of overall experience

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.