Databricks Data Engineers

Codeforce 360

United States

8 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Microsoft Azure Continuous Integration Data Governance Extract Transform Load (ETL) Data Warehousing DevOps Python (Programming Language) Machine Learning Performance Tuning

+17 more

SQL Databases Systems Integration Google Cloud Azure Data Factory Snowflake Apache Spark Generative AI Git Microsoft Fabric Data Lakes Pyspark Infrastructure Automation Frameworks Information Technology AWS Glue Machine Learning Operations Data Pipelines Databricks

Job description

Databricks Data Engineers
Databricks Developers
Databricks Administrators
Databricks Architects
Databricks Consultants
Databricks DevOps Engineers
Databricks Analytics Engineers
Databricks Machine Learning Engineers
Databricks AI/ML Engineers
Databricks Solution Architects
Databricks Platform Engineers
Databricks Migration Specialists

Requirements

Experience with the Databricks Lakehouse Platform
Strong knowledge of Apache Spark, PySpark, Python, SQL, or Scala
Experience developing and optimizing data pipelines
Knowledge of Delta Lake, Delta Live Tables, Unity Catalog, and Databricks Workflows
Experience with data warehousing, data lakes, ETL, and ELT processes
Understanding of data governance, security, access controls, and platform administration
Experience integrating Databricks with AWS, Microsoft Azure, or Google Cloud Platform
Knowledge of Azure Data Factory, AWS Glue, Snowflake, Microsoft Fabric, or similar platforms is beneficial
Experience with CI/CD, Git, DevOps, and infrastructure automation
Knowledge of machine learning, MLflow, generative AI, or Mosaic AI is a plus
Experience with platform migrations, performance optimization, and production support
Strong analytical, problem-solving, and communication skills
Ability to work independently and collaboratively with business and technical teams

Certifications

Databricks and cloud certifications are highly preferred, including:

Databricks Certified Data Engineer
Databricks Certified Data Analyst
Databricks Certified Machine Learning Professional
Databricks Certified Associate Developer for Apache Spark
Databricks Certified Generative AI Engineer
Microsoft Azure, AWS, or Google Cloud certifications, Bachelor’s or master’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related discipline is preferred.

Benefits & conditions

Multiple Databricks opportunities nationwide
Opportunities with leading enterprise and system integrator clients
Competitive W2 compensation
Professional growth and long-term career opportunities
Exposure to modern data engineering, analytics, cloud, and AI technologies

About the company

CodeForce 360 is hiring Databricks professionals for multiple positions with our Fortune 1000, system integrator, and enterprise clients across the United States. Opportunities may be available onsite, hybrid, or remote, depending on client requirements.

We are seeking candidates with knowledge or experience across various Databricks technologies, modules, and cloud environments.