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Databricks Data Engineer Jobs in Indiana (NOW HIRING)

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/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 ...

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/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 ...

Data Engineer (in person)

Westfield, IN

$109K - $131K/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 ...

Cloud Data Engineer

Indianapolis, IN

$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 ...

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 ...

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/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 ...

Data Engineer Lead

Evansville, IN · On-site

$98K - $199K/yr

Data Engineer Lead Job Locations US-MN-Lake Elmo | US-IL-Chicago | US-IN-Evansville | US-WI ... Databricks. * Apply business intelligence best practices such as dimensional modeling and ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

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 ...

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 ...

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 ...

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 ...

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Showing results 1-20

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 Jul 9, 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 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.

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 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.
Data Engineer (in person)

Data Engineer (in person)

SEP

Westfield, IN • On-site

$109K - $131K/yr

Full-time

Posted 20 days ago


Job description

SEP is looking for a data engineer to join our growing data practice and deliver data solutions for our clients. We've been helping companies build great software products since 1988 in a wide range of industries and technologies, and more and more of these products are powered by data. Our clients want us to apply the same engineering rigor we bring to software development to their data pipelines and data platforms. You'll spend your days building, testing, and shipping data systems that real clients depend on. 
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
  • Build and maintain data pipelines and transformations (batch and streaming) 
  • Implement data models for analytics use cases 
  • Write data quality checks and tests for data pipelines 
  • Configure orchestration and workflow tooling to support delivery 
  • Implement infrastructure as code for data platforms 
  • Investigate and resolve pipeline failures and performance issues 
  • Participate in peer code review and contribute to team documentation 
  • Communicate progress, blockers, and risks to the team and stakeholders 
  • Support client meetings in a technical capacity 
Key attributes for applicants
  • A passion for great products, software development, and learning 
  • Strong SQL skills with working proficiency in Python; experience with Spark, Scala, R, or C# is a plus 
  • Practical experience in data pipeline development, ideally in both batch and streaming patterns 
  • Understanding of data modeling patterns for analytics (dimensional modeling, normalized data models, lakehouse concepts) 
  • Hands-On experience with at least one cloud data platforms (Azure preferred, AWS and GCP experience also valued) 
  • Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift 
  • Familiarity with orchestration and workflow management (Apache Airflow, Databricks Workflows, Temporal, or similar) 
  • Experience writing tests and data quality checks for pipelines 
  • Exposure to 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 
  • Applies software engineering best practices to data engineering (source control, automated testing, code review, CI/CD) 
  • Comfortable with ambiguity; can clarify requirements through conversation 
  • Interest in mentoring and developing less experienced engineers 
  • Professional data engineering experience (2+ 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