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Databricks Engineer Jobs in Indiana (NOW HIRING)

CFS

Data Engineer

Osceola, IN · Hybrid

$150K/yr

Data Engineer Location: South Bend, IN (Hybrid) Salary: Up to $125,000 (Mid-Level) | Up to $150,000 ... Hands-on experience with Databricks * Strong proficiency in Python and Spark * Experience ...

New

CFS

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Data Engineer Location: South Bend, IN (Hybrid) Salary: Up to $125,000 (Mid-Level) | Up to $150,000 ... Hands-on experience with Databricks * Strong proficiency in Python and Spark * Experience ...

CFS

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Data Engineer Location: South Bend, IN (Hybrid) Salary: Up to $125,000 (Mid-Level) | Up to $150,000 ... Hands-on experience with Databricks * Strong proficiency in Python and Spark * Experience ...

CFS

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Data Engineer Location: South Bend, IN (Hybrid) Salary: Up to $125,000 (Mid-Level) | Up to $150,000 ... Hands-on experience with Databricks * Strong proficiency in Python and Spark * Experience ...

CFS

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Data Engineer Location: South Bend, IN (Hybrid) Salary: Up to $125,000 (Mid-Level) | Up to $150,000 ... Hands-on experience with Databricks * Strong proficiency in Python and Spark * Experience ...

CFS

Data Engineer

Osceola, IN · Hybrid

$150K/yr

Data Engineer Location: South Bend, IN (Hybrid) Salary: Up to $125,000 (Mid-Level) | Up to $150,000 ... Hands-on experience with Databricks * Strong proficiency in Python and Spark * Experience ...

CFS

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Data Engineer Location: South Bend, IN (Hybrid) Salary: Up to $125,000 (Mid-Level) | Up to $150,000 ... Hands-on experience with Databricks * Strong proficiency in Python and Spark * Experience ...

CFS

Data Engineer

Granger, IN · Hybrid

$150K/yr

Data Engineer Location: South Bend, IN (Hybrid) Salary: Up to $125,000 (Mid-Level) | Up to $150,000 ... Hands-on experience with Databricks * Strong proficiency in Python and Spark * Experience ...

CFS

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Data Engineer Location: South Bend, IN (Hybrid) Salary: Up to $125,000 (Mid-Level) | Up to $150,000 ... Hands-on experience with Databricks * Strong proficiency in Python and Spark * Experience ...

CFS

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Data Engineer Location: South Bend, IN (Hybrid) Salary: Up to $125,000 (Mid-Level) | Up to $150,000 ... Hands-on experience with Databricks * Strong proficiency in Python and Spark * Experience ...

CFS

Data Engineer

Mishawaka, IN · Hybrid

$150K/yr

Data Engineer Location: South Bend, IN (Hybrid) Salary: Up to $125,000 (Mid-Level) | Up to $150,000 ... Hands-on experience with Databricks * Strong proficiency in Python and Spark * Experience ...

EXOS

Sr. Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

Develop solutions within Databricks to support scalable data processing * Implement and support CI ... of experience in data engineering or data development * Strong hands-on experience with:

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$107.80K - $129.40K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Vergence

ETL/Data Engineer

Indianapolis, IN

$107.80K - $129.40K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

SEP

Data Engineer (in person)

Westfield, IN

$109.80K - $131.90K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

SEP

Data Engineer (in person)

Westfield, IN

$109.80K - $131.90K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

New

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109.80K - $131.90K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

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Databricks Engineer information

See Indiana salary details

$56.6K

$106.2K

$193.2K

How much do databricks engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for databricks engineer in Indiana is $106,225.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,600.00 and $126,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Databricks Engineer, and why are they important?

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.

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.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 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 may earn higher compensation. Salaries can also vary based on industry demand and certifications.
What are popular job titles related to Databricks Engineer jobs in Indiana? For Databricks Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Indiana look for? The top searched job categories for Databricks Engineer jobs in Indiana are:
What cities in Indiana are hiring for Databricks Engineer jobs? Cities in Indiana with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Indiana as of May 2026, with employment types broken down into 3% As Needed, 83% Full Time, 1% Part Time, 8% Contract, and 5% Nights. Highlights an 67% Physical, and 33% Remote job distribution, with an average salary of $106,225 per year, or $51.1 per hour.

Data Engineer

CFS

Osceola, IN • Hybrid

$150K/yr

Full-time

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

Job description

Data Engineer
Location: South Bend, IN (Hybrid)
Salary: Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level)

About the Role

An organization in South Bend, IN is seeking a Data Engineer to play a critical role in building and optimizing a centralized enterprise data platform. This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark.

As the organization consolidates data into a single, unified platform, this role will focus on engineering robust ETL/ELT processes, modernizing legacy data workflows, and ensuring reliable, high-performance data delivery across the enterprise.

This is a highly visible role working closely with analytics, IT, and business stakeholders to support enterprise-wide reporting, operational intelligence, and long-term data strategy.

What We're Looking For

Must-Have Skills

  • Strong experience with Azure data services (Azure Data Factory, Azure SQL, Synapse, etc.)
  • Hands-on experience with Databricks
  • Strong proficiency in Python and Spark
  • Experience developing and optimizing ETL/ELT pipelines
  • Background working with legacy Microsoft tools such as SSIS and SSRS
  • Deep understanding of data modeling, transformation logic, and pipeline architecture
  • Experience consolidating data into centralized or cloud-based platforms
  • Strong SQL skills
  • Ability to troubleshoot performance issues and optimize large-scale datasets
  • Strong communication skills and ability to collaborate cross-functionally

Nice-to-Have

  • Experience supporting enterprise BI/reporting environments
  • Exposure to ERP, operational, or transactional data systems
  • Experience in manufacturing, agriculture, supply chain, or similar industries
  • Familiarity with data governance and best practices

Key Responsibilities

Data Engineering & Platform Development

  • Design, build, and maintain scalable data pipelines using Databricks, Azure, Python, and Spark
  • Migrate and modernize legacy SSIS/SSRS workflows into the centralized data platform
  • Develop robust ETL/ELT processes to integrate data from multiple enterprise systems

Data Architecture & Optimization

  • Support the design of a unified enterprise data model
  • Optimize data processing performance and reliability
  • Ensure data quality, validation, and integrity across pipelines

Collaboration & Strategy

  • Partner with BI, analytics, and business teams to support enterprise reporting needs
  • Contribute to data standards, governance, and architectural best practices
  • Support the organization's transition to a modern, centralized data ecosystem
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