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Databricks Data Engineer Jobs in Indiana (NOW HIRING)

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$107.80K - $129.40K/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 ...

Vergence

ETL/Data Engineer

Indianapolis, IN

$107.80K - $129.40K/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 ...

SEP

Data Engineer (in person)

Westfield, IN

$109.80K - $131.90K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

New

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109.80K - $131.90K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

SEP

Data Engineer (in person)

Westfield, IN

$109.80K - $131.90K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

CSpring

Sr. Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

... Databricks * 5 years of experience developing batch and/or streaming ETL/ELT processes * 5 years of experience with data warehouse or data lake concepts * Proficiency in at least one programming ...

Deloitte

Databricks Engineer

Indianapolis, IN · On-site +1

Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for... * Build, configure, and support Databricks environments across Microsoft Azure, Amazon Web Services, and ...

SEP

Senior Data Engineer (in person)

Westfield, IN

$101.70K - $138.10K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

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Databricks Data Engineer information

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$42.3K

$123.4K

$168.9K

How much do databricks data engineer jobs pay per year?

As of May 30, 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 job?

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

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.

What does a typical day look like for a Databricks Data Engineer?

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.
More about Databricks Data Engineer jobs
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:
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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:
Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Indiana as of May 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

Data Engineer (No Sponsorship Available)

Heritage Construction + Materials

Indianapolis, IN • On-site

$109.40K - $131.40K/yr

Full-time

Posted 22 days ago

Job description

Build Your Career at Heritage Construction + Materials!
We are seeking a highly skilled Data Engineer to support the design, development, and implementation of our cloud data platform. This role is ideal for a Data Engineer who has experience in Databricks, cloud architecture, advanced data pipeline engineering, and building scalable, production-ready systems that support analytics, and enterprise-wide decision intelligence, with a potential to build and support AI/ML in the future.
In this role, you will architect cloud data solutions, optimize data operations, and guide the evolution of our modern data ecosystem. You will work closely with cross-functional partners, including finance and operations, to deliver high-impact, reliable, and efficient data products and strategic data initiatives.
This position requires U.S. work authorization
Essential Functions
  • Design, implement, and maintain scalable data pipelines within a cloud data platform (Azure preferred)
  • Build, optimize, and manage Databricks clusters, ensuring performance, cost efficiency, and reliable job execution
  • Develop and maintain Delta Lake tables, pipelines, and storage patterns to ensure data quality, versioning, and performance
  • Integrate Databricks with Azure services such as Azure Data Factory, ADLS, and Azure DevOps
  • Support the implementation of a new cloud-based data warehouse, defining architecture, governance, and standards
  • Build and automate CI/CD pipelines for data workflows using Azure DevOps
  • Design and implement monitoring solutions using Databricks monitoring tools, Azure Log Analytics, or custom dashboards
  • Collaborate with business and technical stakeholders to identify high-value data engineering and analytics opportunities and contribute to data governance initiatives
  • Apply modern data engineering best practices to support advanced use cases involving NLP, predictive analytics, and automation
  • Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company's core values, competencies, and skills.

Education Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field required

Experience Qualifications
  • 3+ years of experience in data engineering or cloud data architecture
  • Expertise in Databricks or Snowflake Cloud Data Platforms
  • Expertise with programming languages such as Python and/or SQL
  • Experience with Python Data Science Libraries (PySpark, Pandas, etc.)
  • Experience with Test Drive Development (TDD)
  • Automated CI/CD Pipelines
  • Linux / Bash / Docker
  • Database Schema Design and Optimization
  • Experience working in a cloud environment (Azure preferred) with strong understanding of cloud data architecture
  • Experience with workflow orchestration (e.g., Databricks Jobs, or Azure Data Factory pipelines)

Skills and Abilities
  • Strong analytical and problem-solving skills
  • Experience with programming languages such as Python, Java, R, or SQL
  • Experience with Databricks or Snowflake Cloud Data Platforms
  • Knowledge of statistical analysis and data visualization tools, such as PowerBI or Tableau
  • Proficient in Microsoft Office

About Heritage Construction + Materials
Heritage Construction + Materials (HC+M) is part of The Heritage Group, a privately held, family-owned business headquartered in Indianapolis. HC+M has core capabilities in infrastructure building. Its collection of companies provides innovative road construction and materials services across the Midwest. HC+M companies, including Asphalt Materials, Inc., Evergreen Roadworks, Milestone Contractors and US Aggregates, proudly employ 3,000 people at 68 locations across seven states. Learn more at www.heritagebuilds.com.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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