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Databricks Engineer Jobs in Indiana (NOW HIRING)

Marlabs

AWS Devops Cloud Engineer

Indianapolis, IN · On-site

$50.50 - $69/hr

Manage and support cloud-based data and analytics platforms, including Databricks, Amazon RDS ... Engineer | Skills & Experience * Hands-on experience with AWS services including EKS, ECR, EC2 ...

Onebridge

AWS Devops Cloud Engineer

Indianapolis, IN · On-site

$110 - $160/hr

Manage and support cloud-based data and analytics platforms, including Databricks, Amazon RDS ... Engineer | Skills & Experience * Hands-on experience with AWS services including EKS, ECR, EC2 ...

Marlabs

AWS Devops Cloud Engineer

Indianapolis, IN · Hybrid

$50.50 - $69/hr

Manage and support cloud-based data and analytics platforms, including Databricks, Amazon RDS ... Engineer | Skills & Experience * Hands-on experience with AWS services including EKS, ECR, EC2 ...

EXOS

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/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 Group

ETL/Data Engineer

Indianapolis, IN · On-site

$109K - $131K/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 ...

New

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/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

$107K - $129K/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 ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Indiana

Databricks Engineer information

See Indiana salary details

$56.6K

$106.2K

$193.2K

How much do databricks engineer jobs pay per year?

As of Aug 19, 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 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 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 August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $106,225 per year, or $51.1 per hour.

Senior Databricks Administrator

SWITS DIGITAL Private Limited

Evansville, IN • On-site

Full-time

Re-posted 8 days ago

Job description

We are seeking a Senior Databricks Administrator with 15+ years of overall IT experience and 5+ years of hands-on Databricks Administration experience to lead the administration, governance, security, performance, and cost optimization of an AWS Databricks platform.
This is a platform administration and governance role, not a development position. The ideal candidate will have extensive experience managing enterprise-scale Databricks environments on AWS and will be responsible for ensuring platform stability, security, compliance, performance, and operational excellence.
Key Requirements
• 15+ years of overall IT experience with 5+ years in Databricks Administration.
• Strong hands-on expertise in:
o Databricks Workspace Administration
o Unity Catalog Administration and Governance
o RBAC, SSO, SCIM, and Security Administration
o Cluster Administration (Interactive, Job Clusters, SQL Warehouses, Serverless)
o Databricks Cost Management, Pricing, and FinOps Optimization
o Platform Monitoring, Auditing, and Compliance
o Multi-workspace Administration
o Hive Metastore and Hive Tables Administration
• Experience managing:
o Catalogs, Schemas, Tables, Views, and Storage Credentials
o Cluster Policies and Compute Governance
o User and Access Management
o Platform Upgrades and Runtime Management
o Workspace Provisioning and Environment Governance
AWS Platform Expertise (Mandatory)
• Hands-on experience administering Databricks on AWS.
• Strong knowledge of:
o AWS IAM
o S3 Storage
o VPC, Security Groups, and Networking
o Secrets Management
o Cloud Governance and Security Best Practices
• Experience working in enterprise-scale AWS-based Data & Analytics environments.
Technical Understanding
Although this is not a development role, the candidate must possess a good understanding of:
• Databricks Lakehouse Architecture
• Apache Spark
• Delta Lake
• Hive Metastore and Hive Tables
• Data Engineering workflows
This knowledge is required to troubleshoot platform issues, analyze job failures, perform root-cause analysis, and support engineering teams when required.
Preferred Skills
• Experience with Hive Metastore to Unity Catalog migrations.
• Strong understanding of Databricks pricing models and consumption optimization.
• Exposure to Databricks Genie AI / GenAI capabilities and their governance within Unity Catalog.
• Experience implementing enterprise security, governance, and compliance controls.
• Databricks certifications are a plus.
Ideal Candidate Profile
• Hands-on Databricks Administrator, not a Databricks Developer.
• Expert in Unity Catalog, Security, RBAC, Governance, and Cost Optimization.
• Strong experience managing clusters, SQL Warehouses, and workspace administration.
• Deep knowledge of Hive Metastore and Hive tables.
• Able to independently own and govern the Databricks platform on AWS.
• Capable of troubleshooting and debugging platform and workload issues while working closely with Data Engineering, Cloud, Security, and Infrastructure teams.
Mandatory Skills: AWS Databricks, Unity Catalog, RBAC, Security Administration, Cluster Administration, SQL Warehouses, Cost Optimization, Platform Governance, Hive Metastore/Hive Tables, Monitoring & Compliance.

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