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Databricks Jobs in Indianapolis, IN (NOW HIRING)

RADcube

AWS Data Engineer Databricks

Indianapolis, IN · On-site

$109K - $131K/yr

This role focuses on building and supporting a modern AWS + Databricks Lakehouse platform to enable advanced healthcare analytics (RWD/HEOR) . The ideal candidate will have strong hands-on experience ...

Buaut

BI Developer

Lebanon, IN · On-site

The ideal candidate should have strong hands-on experience with Azure Databricks, Microsoft Fabric, and modern data engineering practices, along with the ability to deliver enterprise-scale data ...

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 ...

Onebridge

Data Practice Lead

Indianapolis, IN · On-site

You bring deep experience designing and evaluating solutions across leading cloud data platforms-such as Databricks and Snowflake-and provide clarity for complex challenges including migrations ...

Onebridge

Data Practice Lead

Indianapolis, IN · On-site +1

You bring deep experience designing and evaluating solutions across leading cloud data platforms-such as Databricks and Snowflake-and provide clarity for complex challenges including migrations ...

Onebridge

AI/ML Technical Lead

Indianapolis, IN · On-site

... Databricks capabilities where appropriate. • Collaborate with product owners, program managers, and global teams to ensure seamless execution and timely delivery. • Conduct design reviews, code ...

EXOS

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Develop solutions within Databricks to support scalable data processing * Implement and support CI/CD pipelines for data workflows * Create reusable, modular code to improve development efficiency ...

Elanco

Senior Data Scientist

Indianapolis, IN · On-site

Build and maintain interactive dashboards and data products using Databricks dashboard, Power BI or Tableau to enable real-time decision-making. * Implement best practices in software engineering ...

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How much do databricks jobs pay per year?

As of Aug 9, 2026, the average yearly pay for databricks in Indianapolis, IN is $36,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $39,700.00 per year, depending on experience, location, and employer.

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.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

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.

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 often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

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.

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 most commonly searched types of Databricks jobs in Indianapolis, IN? The most popular types of Databricks jobs in Indianapolis, IN are:
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Databricks jobs near you
Infographic showing various Databricks job openings in Indianapolis, IN as of August 2026, with employment types broken down into 87% Full Time, 4% Part Time, 1% Temporary, and 8% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $36,049 per year, or $17.3 per hour.

AWS Data Engineer Databricks

RADcube

Indianapolis, IN • On-site

$109K - $131K/yr

Other

Re-posted yesterday

Job description

Job Title: Senior AWS Data Engineer

Location: Indianapolis, IN 
Role Overview

We are seeking a highly skilled AWS Data Engineer to support a strategic STRADA Modernization initiative. This role focuses on building and supporting a modern AWS + Databricks Lakehouse platform to enable advanced healthcare analytics (RWD/HEOR). The ideal candidate will have strong hands-on experience with AWS, Databricks, and data pipeline development, along with the ability to work closely with both technical and business stakeholders.
 
Key Responsibilities
  • Design, develop, and maintain data ingestion pipelines for real-world data (RWD) sources
  • Build and optimize data models within a Databricks Lakehouse architecture
  • Ensure data governance, quality, and compliance standards are met
  • Optimize cost, performance, and resource utilization across AWS and Databricks
  • Collaborate with business and technical stakeholders to translate requirements into scalable solutions
  • Provide technical guidance, coding standards, and best practices
  • Support knowledge sharing through documentation and training sessions
  • Deliver status updates and progress reports to senior leadership
 

Required Qualifications

  • Strong hands-on experience with AWS services (S3, Glue, Lambda, Redshift, etc.)
  • Proven experience with Databricks (Delta Lake, notebooks, workflows)
  • Expertise in SQL and Python
  • Experience building end-to-end ETL/ELT data pipelines
  • Strong understanding of data modeling techniques
  • Experience with data governance, quality, and compliance frameworks
  • Ability to work independently and in a collaborative team environment
  • Databricks Certification 
  • Experience building and managing CI/CD pipelines 
  • Experience with workflow orchestration tools
  • Exposure to data observability and lineage tools
  • Experience with monitoring, logging, and observability frameworks

Highly Preferred Skills

  • Experience in Healthcare / Pharma domain
  • Exposure to RWD (Real World Data) or HEOR analytics
  • Familiarity with Lakehouse architecture / Medallion (Bronze-Silver-Gold) models
  • Experience optimizing cost and performance in cloud environments
  • Strong communication and stakeholder management skills
 

Apply