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Databricks Jobs in Indiana (NOW HIRING)

SEP

Senior Data Engineer (in person)

Westfield, IN

$101K - $138K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift * Understanding of orchestration and workflow management (Apache Airflow, Databricks Workflows ...

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift * Familiarity with orchestration and workflow management (Apache Airflow, Databricks Workflows ...

SEP

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift * Familiarity with orchestration and workflow management (Apache Airflow, Databricks Workflows ...

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 * Understanding of orchestration and workflow management (Apache Airflow, Databricks Workflows ...

CSpring

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 compute patterns that fit the client's scale and budget. * Implement data quality checks ...

CSpring

Azure Data Engineer

Indianapolis, IN

$109K - $131K/yr

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 ...

Lasting Change, Inc

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Microsoft Fabric, Azure (Synapse Analytics, Data Factory), or Databricks strongly preferred. * Solid understanding of data lakes, data warehouses, and lakehouse architectures. * Working knowledge of ...

Lasting Change Inc

Fabric Data Engineer

Fort Wayne, IN

$104K - $125K/yr

Microsoft Fabric, Azure (Synapse Analytics, Data Factory), or Databricks strongly preferred. * Solid understanding of data lakes, data warehouses, and lakehouse architectures. * Working knowledge of ...

CSpring

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 compute patterns that fit the client's scale and budget. * Implement data quality checks ...

Circle K

Senior Manager Data Architecture

Columbus, IN · On-site

$62.50 - $83.75/hr

... Snowflake, Databricks, and related data technologies. Key Responsibilitiesand Accountabilities This role owns the architecture function for the full data lifecycle, from source discovery and ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$77K - $202K/yr

... Databricks Unified Data Analytics Platform for advanced data analytics and visualization - Implementing data security best practices to protect sensitive information and maintain compliance ...

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Databricks information

See Indiana salary details

$22.4K

$35.9K

$48.5K

How much do databricks jobs pay per year?

As of Aug 9, 2026, the average yearly pay for databricks in Indiana is $35,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,900.00 and $39,500.00 per year, depending on experience, location, and employer.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

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

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the most commonly searched types of Databricks jobs in Indiana? The most popular types of Databricks jobs in Indiana are:
What are popular job titles related to Databricks jobs in Indiana? For Databricks jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Databricks jobs in Indiana look for? The top searched job categories for Databricks jobs in Indiana are:
What cities in Indiana are hiring for Databricks jobs? Cities in Indiana with the most Databricks job openings:
Databricks jobs near you
Infographic showing various Databricks job openings in Indiana as of August 2026, with employment types broken down into 90% Full Time, 3% Part Time, and 7% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $35,887 per year, or $17.3 per hour.

Senior Data Engineer (in person)

SEP

Westfield, IN

$101K - $138K/yr

Full-time

Re-posted 13 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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