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Databricks Data Engineer Jobs in Indiana (NOW HIRING)

SEP

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/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

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/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

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/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 ...

Tire Rack

Sr. Manager, Data Engineering

South Bend, IN · On-site

Sr. Manager, Data Engineering Location: Tire Rack - South Bend, IN Department: Information ... Drive the enterprise-wide transition to a modern Databricks lakehouse architecture, leading one of ...

Pwc

Data Strategy-Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data governance frameworks - Understanding of modern cloud data ...

Coastal

Data Platform Engineer (Data 360)

Indianapolis, IN · On-site

$109K - $131K/yr

Hands-on experience with enterprise database technology, cloud data warehouses (e.g., Snowflake, Databricks), ETL/ELT tools, data engineering pipelines, and data science principles. * Strong ...

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Showing results 41-60

All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Indiana

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 Sep 13, 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:

Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Indiana as of September 2026, with employment types broken down into 2% Internship, 71% Full Time, and 27% Contract. Highlights an 79% In-person, 5% Hybrid, and 16% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

Senior Data Engineer (in person)

Westfield, IN • On-site

SEP
Software Development • 51 - 200 employees
Learn more about SEPexternal

$101K - $138K/yr

Full-time

Re-posted 18 days ago

Job description

Data is only as powerful as the foundation beneath it. At SEP, we're building that foundation - and we're looking for a Senior Data Engineer who's ready to lead the way.
 
We've been partnering with companies to build software that matters since 1988. From Fortune 100 enterprises to fast-moving scale-ups, our clients depend on us to tackle complexity, deliver with craft, and stay engaged through every stage of the work. Now, we're growing our data practice - and we want someone who's as excited about clean, connected, trustworthy data as we are.
What we have to offer
  • Variety on every axis - tools, technologies, market sectors, methodologies 
  • Flexible, reasonable work schedules 
  • Extensive opportunities to learn and develop yourself 
  • A community of friendly, talented, and effective peers 
  • Opportunities to try out different roles with minimal risk 
  • Gorgeous facilities 
What you'll be doing
  • Provide technical direction on data engagements and mentor other engineers 
  • Design and implement data pipelines and transformations (batch and streaming) 
  • Develop data models for analytics use cases 
  • Implement data quality checks and testing strategies for pipelines 
  • Configure and manage orchestration and workflow tooling 
  • Build and maintain infrastructure as code for data platforms 
  • Translate architectural direction into implementation plans 
  • Communicate progress, risks, and technical tradeoffs to stakeholders 
  • Support client meetings in a technical capacity 
Key attributes for applicants
  • A passion for great products, software development, and learning 
  • Expert-level SQL skills with strong proficiency in Python; experience with Spark, Scala, R, or C# is a plus 
  • Deep expertise in data pipeline development, including batch and streaming patterns 
  • Solid understanding of data modeling patterns for analytics (dimensional modeling, data vault, lakehouse architectures) 
  • Experience with cloud data platforms - Azure preferred, AWS experience also valued 
  • Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift 
  • Understanding of orchestration and workflow management (Apache Airflow, Databricks Workflows, Temporal, or similar) 
  • Experience with data quality frameworks and testing strategies for pipelines 
  • Familiarity with infrastructure as code tooling (Terraform, ARM/Bicep) and CI/CD pipelines (GitHub Actions or similar) is a plus 
  • Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog, Microsoft Purview) is a plus 
  • Ability to evaluate architectural tradeoffs in data systems (OLAP vs. OLTP, batch vs. streaming, warehouse vs. lakehouse) 
  • Comfortable with ambiguity; can clarify requirements through conversation 
  • Interest in mentoring and developing less experienced engineers 
  • Professional data engineering experience (8+ years desired) 
  • Must be legally authorized to work in the United States 
  • Must not require visa sponsorship or have work authorization based on OPT or CPT 
  • Must be able to work from our office in Westfield, IN without relocation financial assistance 
SEP is a software product design and development company located in Westfield, IN. We provide powerful teams of thoughtful developers and designers to bring ideas to life. Founded in 1988, SEP is one of Indiana's largest software development firms with 180 employees. Our clients span from Fortune 100 to scale-up companies. We are 100% employee-owned through an ESOP and are consistently recognized for our great culture (Top Workplaces, Best Place to Work in Indiana, Techpoint Mira Exceptional Employer).

We are an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities
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About SEP

Sourced by ZipRecruiter

Industry

Software development

Company size

51 - 200 Employees

Headquarters location

Carmel, IN, US

Year founded

1988

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