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Databricks Engineer Jobs in Hammond, IN (NOW HIRING)

AWS Databricks Engineer Type/Duration: Full time//Permanent Location: Chicago, IL/Minneapolis, MN (3 Days onsite in a week) Your contribution to the team: ⦁ A collaborative spirit and excellent ...

New

Databricks Engineer

Chicago, IL · On-site

$118K - $141K/yr

Key Responsibilities Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake Build and optimize ELT/ETL processes for ...

Data Engineer - Databricks

Chicago, IL

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries - from public sector agencies to ...

Data Engineer - Databricks

Chicago, IL · On-site +1

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries - from public sector agencies to ...

Data Engineer - Databricks

Chicago, IL

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries -- from public sector agencies to ...

Databricks Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Required Skills & Experience · Total Experience: 10+ years in data engineering or related roles. · Cloud Data Platforms: Deep hands on experience with Databricks (notebooks, jobs, clusters, Delta ...

Lead and scale Databricks platform administration across enterprise workspaces and multi-cloud ... Partner cross-functionally with Engineering, Security, Cloud, and Operations teams to ensure secure ...

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Showing results 1-20

Databricks Engineer information

See Hammond, IN salary details

$57.3K

$107.5K

$195.4K

How much do databricks engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for databricks engineer in Hammond, IN is $107,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $127,600.00 per year, depending on experience, location, and employer.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in Hammond, IN?

For Databricks Engineer jobs in Hammond, IN, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Hammond, IN look for?

The top searched job categories for Databricks Engineer jobs in Hammond, IN are:

What cities near Hammond, IN are hiring for Databricks Engineer jobs?

Cities near Hammond, IN with the most Databricks Engineer job openings:

Infographic showing various Databricks Engineer job openings in Hammond, IN as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $107,475 per year, or $51.7 per hour.

AWS Databricks Engineer

E-Solutions, Inc.

Chicago, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Position: AWS Databricks Engineer
Type/Duration: Full time//Permanent
Location: Chicago, IL/Minneapolis, MN (3 Days onsite in a week)

Your contribution to the team:
⦁ A collaborative spirit and excellent communication skills.
⦁ The ability to handle end to end SDLC phases from requirement gathering to implementation.
⦁ A knack for translating complex requirements into actionable development tasks.
⦁ A passion for design and hands-on coding experience
⦁ A proactive approach to testing, troubleshooting, and refining our applications.
⦁ The ability to work with cross-functional teams and do software integration.
 

Required Skill and Experience

Databricks
Pyspark
AWS
 

Preferred Skill and Experience

Gen AI
Agentic AI


AWS Databricks Engineer2AWS,AI,Data Engineer,DatabricksN/AFull TimeUnited States