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Databricks Jobs in Indiana (NOW HIRING)

Masco Corporation

AI Agent Developer

Indianapolis, IN · On-site

Ideal candidates will blend hands-on technical expertise in Databricks and Copilot Studio with strong business acumen in retail/consumer goods analytics. This is a ground-floor opportunity to shape ...

Eli Lilly and Company

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Evaluate and apply Databricks capabilities and integration patterns - Unity Catalog, Delta Lake, Databricks Workflows, serverless compute, Lakebase, and ingestion connectors - selecting the right ...

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$22.4K

$35.9K

$48.5K

How much do databricks jobs pay per year?

As of Aug 29, 2026, the average yearly pay for databricks in Indiana is $35,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,900.00 and $39,500.00 per year, depending on experience, location, and employer.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

Does Databricks hire remote employees?

Databricks offers remote work opportunities for certain roles, especially those related to software engineering, data science, and cloud infrastructure. The availability of remote positions depends on the specific job and team requirements, and candidates should review individual job postings for location details.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that involve working with tools like Apache Spark and machine learning. Employee reviews often cite a collaborative environment and opportunities for skill development, though experiences can vary by role and location.

What are jobs in Databricks?

Jobs in Databricks refer to roles that involve developing, managing, and optimizing data workflows using the Databricks platform, which is built on Apache Spark. These positions often require skills in data engineering, data science, or machine learning, and may involve working with cloud environments, SQL, and programming languages like Python or Scala.

What are the most commonly searched types of Databricks jobs in Indiana?

The most popular types of Databricks jobs in Indiana are:

What are popular job titles related to Databricks jobs in Indiana?

For Databricks jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Databricks jobs in Indiana look for?

The top searched job categories for Databricks jobs in Indiana are:

What cities in Indiana are hiring for Databricks jobs?

Cities in Indiana with the most Databricks job openings:

Databricks jobs near you
Infographic showing various Databricks job openings in Indiana as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $35,887 per year, or $17.3 per hour.

Senior Databricks Administrator

SWITS DIGITAL Private Limited

Evansville, IN • On-site

Full-time

Re-posted 18 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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