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Databricks Data Engineer Jobs in Indiana (NOW HIRING)

Azure Data Engineer

Indianapolis, IN · 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 ...

Azure Data Engineer

Indianapolis, IN · 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 ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI ... We invest in Fabric, Databricks, Synapse, and the patterns that keep teams moving fast without ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Data Engineer on our Finance & Analytics team, you will build and maintain the cloud data ... and Databricks preferred. * Proficiency in SQL and Python. * Experience integrating data from ...

Data Engineer

Indianapolis, IN

$109K - $131K/yr

Position Summary: As a Data Engineer on our Finance amp; Analytics team, you will build and ... and Databricks preferred. * Proficiency in SQL and Python. * Experience integrating data from ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI ... We invest in Fabric, Databricks, Synapse, and the patterns that keep teams moving fast without ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI ... We invest in Fabric, Databricks, Synapse, and the patterns that keep teams moving fast without ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... Databricks, lakehouse architectures, or similar platforms Exposure to AI/ML workflows, including feature engineering and model data preparation Familiarity with POS and retail data ecosystems (e.g ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... with Databricks, lakehouse architectures, or similar platforms • Exposure to AI/ML workflows, including feature engineering and model data preparation • Familiarity with POS and retail data ...

As a Lead Platform Data Engineer, you will oversee the data architecture connecting product ... Databricks, or BigQuery). Mastery of SQL is non-negotiable. • Advanced Python and/or Go/Java for ...

Showing results 21-40

Databricks Data Engineer information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do databricks data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for databricks data engineer in Indiana is $123,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive as a Databricks data engineer?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

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

The most popular types of Databricks Data Engineer jobs in Indiana are:

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

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

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

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

Infographic showing various Databricks Data Engineer job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

Azure Data Engineer

CSpring

Indianapolis, IN • 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!