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Databricks Software Jobs in Indiana (NOW HIRING)

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 ...

Databricks Data Engineer II

Indianapolis, IN · On-site

$109K - $131K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Sr Databricks Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

SEP is a software product design and development company located in Westfield, IN, looking for a ... Databricks, Snowflake, Microsoft Fabric, or Redshift • Familiarity with orchestration and ...

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Senior AWS Data Engineer - Databricks (Healthcare Analytics) Location: Indianapolis, IN Role ... We specialize in niche technology solutions and innovative software using the latest technologies.

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Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

We've been helping companies build great software products since 1988 in a wide range of industries ... Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

We've been helping companies build great software products since 1988 in a wide range of industries ... Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

We've been helping companies build great software products since 1988 in a wide range of industries ... Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift

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 ...

Sr. Data Engineer

Indianapolis, IN

$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 ...

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 ...

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Databricks Software information

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at large tech companies, can earn $500,000 or more annually. These roles often require extensive experience, advanced skills in programming and cloud platforms, and may include bonuses or stock options that contribute to total compensation.

What is Databricks Software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Senior roles and specialized skills in data engineering or cloud platforms can command higher compensation. Benefits often include stock options, bonuses, and professional development opportunities.

Is Databricks a high paying job?

Working as a Databricks software engineer or data scientist typically offers above-average salaries compared to other tech roles, reflecting the specialized skills in cloud platforms, big data, and Spark. Compensation varies based on experience, location, and certifications, but generally includes competitive base pay, bonuses, and stock options. These roles often require knowledge of programming languages like Python or Scala and familiarity with cloud environments such as AWS or Azure.

What are some common challenges faced by Databricks Software Engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

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

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What exactly are Databricks Jobs?

Databricks Jobs are automated tasks or workflows that run on the Databricks platform, typically involving data processing, machine learning, or analytics tasks. They can be scheduled, monitored, and managed through the Databricks workspace, requiring knowledge of Spark, SQL, or Python scripting. Job roles often involve configuring clusters and ensuring efficient execution of data pipelines.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Indiana? For Databricks Software jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Databricks Software jobs? Cities in Indiana with the most Databricks Software job openings:
AWS Data Engineer - Databricks

AWS Data Engineer - Databricks

RADcube

Indianapolis, IN • On-site

$109K - $131K/yr

Other

Posted 15 days ago


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