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Databricks Engineer Jobs in Indiana (NOW HIRING)

Azure Data Engineer

Indianapolis, IN ยท On-site

$109K - $131K/yr

Work in Azure Synapse, Databricks, Azure SQL, and Azure Data Lake Storage Gen2 to build storage and ... Manage code and deployments through Git and Azure DevOps, including CI/CD pipelines across ...

Data Engineer I

Fort Wayne, IN ยท On-site

$113K - $135K/yr

Familiarity with cloud-based platforms like Databricks (AWS, Azure, GCP). Willingness to learn and develop skills in data engineering technologies.

Data Engineer I

Fort Wayne, IN ยท On-site

$113K - $135K/yr

Familiarity with cloud-based platforms like Databricks (AWS, Azure, GCP). Willingness to learn and develop skills in data engineering technologies.

Senior Analytical Engineering Manager

Warsaw, IN ยท On-site

$107.75 - $122.47/hr

... Claude and Databricks Genie actually work. You sit at the intersection of Data Engineering ... Analytics, and Data Science, and you are accountable for whether business stakeholders trust the ...

Data Scientist

Indianapolis, IN ยท On-site

$110 - $170/hr

This role combines applied statistical/ML modeling with strong data engineering fluency, working against large-scale data housed in Databricks and AWS. You will partner with business groups to frame ...

... engineering, data architecture, solution architecture, or related roles. * Strong hands-on experience with modern cloud data platforms, including Databricks and/or Snowflake. * Proven ability to ...

Analytics Engineer

Indianapolis, IN ยท On-site

$115K - $149K/yr

Description We are looking for a Senior Analytics Engineer to sit at the intersection of data ... Experience with a cloud data warehouse, such as Snowflake, Databricks, or similar. * Strong SQL ...

Analytics Engineer

Indianapolis, IN ยท On-site

$115K - $149K/yr

Description We are looking for a Senior Analytics Engineer to sit at the intersection of data ... Experience with a cloud data warehouse, such as Snowflake, Databricks, or similar. * Strong SQL ...

Analytics Engineer

Indianapolis, IN ยท On-site

$115K - $149K/yr

Description We are looking for a Senior Analytics Engineer to sit at the intersection of data ... Experience with a cloud data warehouse, such as Snowflake, Databricks, or similar. * Strong SQL ...

Analytics Engineer

Indianapolis, IN ยท On-site

$115K - $149K/yr

Description We are looking for a Senior Analytics Engineer to sit at the intersection of data ... Experience with a cloud data warehouse, such as Snowflake, Databricks, or similar. * Strong SQL ...

Analytics Engineer

Indianapolis, IN ยท On-site

$115K - $149K/yr

Description We are looking for a Senior Analytics Engineer to sit at the intersection of data ... Experience with a cloud data warehouse, such as Snowflake, Databricks, or similar. * Strong SQL ...

Showing results 41-60

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 20, 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:

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.

Azure Data Engineer

CSpring

Indianapolis, IN โ€ข On-site

$109K - $131K/yr

Full-time

Posted 27 days ago


Job description

Description:

At CSpring, we believe in the power of data to drive decisions and real-world impact. We’re a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results.


We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here.


Why You’ll Love Working Here

  • Purposeful Projects – Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.
  • People-First Culture – We’re as committed to your growth as we are to delivering high-impact solutions. You’ll find support, autonomy, and community here.
  • Strategic, Hands-On Work – From data architecture and documentation to client workshops and solution delivery, you’ll influence every step of the process.
  • Collaborative Trust – Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.

What You’ll Do

You'll design, build, and support cloud data solutions on the Microsoft Azure stack for client engagements across government and healthcare.

  • Build and orchestrate data pipelines in Azure Data Factory, moving data from source systems into curated, analytics-ready layers.
  • Develop transformation logic in SQL, Python, or PySpark, and tune it so it holds up as data volumes grow.
  • Design and maintain data models — dimensional, relational, or lakehouse — that make sense to the analysts and reporting teams who depend on them.
  • Work in Azure Synapse, Databricks, Azure SQL, and Azure Data Lake Storage Gen2 to build storage and compute patterns that fit the client's scale and budget.
  • Implement data quality checks, validation rules, and reconciliation so problems surface before a stakeholder finds them.
  • Build monitoring, alerting, and error handling into pipelines from the start, and respond when something breaks in production.
  • Manage code and deployments through Git and Azure DevOps, including CI/CD pipelines across development, test, and production environments.
  • Partner with client analysts, program staff, and technical leads to translate business questions into data requirements you can build against.
  • Document architecture, data lineage, and operational runbooks so the work is supportable after you hand it off.
  • Follow client security, privacy, and compliance requirements in how you access, move, and store sensitive data.


Requirements:
  • 3+ years of hands-on data engineering experience, including 2+ years building on Azure.
  • Strong SQL — complex joins, window functions, stored procedures, and query performance tuning.
  • Practical experience with Azure Data Factory, including pipeline design, triggers, parameterization, and error handling.
  • Working experience with at least one of Azure Synapse Analytics, Databricks, or Azure SQL.
  • Python or PySpark for data transformation and automation.
  • Experience with data modeling and warehouse design concepts, including dimensional modeling.
  • Familiarity with Azure Data Lake Storage Gen2 and how to organize raw, curated, and consumption layers.
  • Version control and deployment discipline using Git and Azure DevOps.
  • Clear communication with non-technical stakeholders — you can explain what you built and why it matters.
  • Bachelor's degree or equivalent hands-on experience.
Preferred Qualifications
  • Prior consulting or client-facing delivery experience.
  • Power BI or supporting downstream reporting and analytics teams.
  • Microsoft Azure certification (DP-203 or equivalent).
  • Experience with data governance tooling such as Microsoft Purview.

Come Build With Us

At CSpring, we unlock the potential of people and data. If you're ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment—apply today!