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Databricks Jobs in Indiana (NOW HIRING)

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 ...

Jj

Manager Data Engineering

Warsaw, IN · On-site +1

$110K - $132K/yr

Databricks, PySpark, Spark SQL * Python and SQL development * Cloud platforms (Azure preferred, AWS acceptable) * Proven expertise in: * Modern data architecture and platform design * Dimensional ...

Pwc

Data Engineer - Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... Databricks and Snowflake - Guiding team members in data architecture development and database optimization - Validating data quality, security, and compliance within analytics frameworks ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN

$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 ...

POLYWOOD

VP of Data & Analytics

Syracuse, IN · On-site

Own the Databricks lakehouse environment and ensure it's structured, governed, and built for scale * Set the architectural standards, modeling conventions, and data quality frameworks that the whole ...

Jj

Manager Data Engineering

Mooresville, IN · On-site +1

$113K - $135K/yr

Databricks, PySpark, Spark SQL * Python and SQL development * Cloud platforms (Azure preferred, AWS acceptable) * Proven expertise in: * Modern data architecture and platform design * Dimensional ...

Masco Corporation

Analytics Engineer

Indianapolis, IN · On-site

... Databricks), including support for GenAI and advanced analytics solutions. • Enable downstream analytics by providing well-structured datasets, documentation, and guidance for analysts, BI ...

Johnson & Johnson

Manager Data Engineering

Warsaw, IN · On-site +1

$110K - $132K/yr

Databricks, PySpark, Spark SQL * Python and SQL development * Cloud platforms (Azure preferred, AWS acceptable) * Proven expertise in: * Modern data architecture and platform design * Dimensional ...

Johnson & Johnson

Manager Data Engineering

Mooresville, IN · On-site +1

$113K - $135K/yr

Databricks, PySpark, Spark SQL * Python and SQL development * Cloud platforms (Azure preferred, AWS acceptable) * Proven expertise in: * Modern data architecture and platform design * Dimensional ...

Spot Inc.

Director, Pricing Strategy

Indianapolis, IN · On-site

Partner with Finance to develop pricing-related reporting within the data platform (SQL Server, Databricks) * Establish margin policies and alert mechanisms for loads trending below threshold ...

FocusKPI

Marketing Operations Analyst

Hammond, IN · On-site

Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ability to interpret ...

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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 Jun 19, 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.

What is a Databricks job?

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.

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

Fabric Data Engineer

Lasting Change, Inc

Fort Wayne, IN • On-site

$104K - $125K/yr

Full-time

Posted 18 days ago

Job description

The Fabric Data Engineer is an integral member of Lasting Change's data platform team, contributing hands-on to the development, optimization, and governance of Petra, the organization's enterprise data lakehouse built on Microsoft Fabric. This role focuses on building reliable, performant data pipelines and analytical data products that drive meaningful business insights across the organization.
The Fabric Data Engineer brings a strong builder mindset - equally comfortable writing high-quality transformation code, establishing agentic AI-assisted development workflows, and communicating clearly with business stakeholders to deliver solutions with measurable impact. This role is a key contributor to Lasting Change's mission of becoming a data-driven organization.
Requirements
Company Conformance Statements / Essential Personal Characteristics
In the performance of their respective tasks and duties, all employees are expected to conform to the following:
1. Perform quality work within deadlines with or without direct supervision.
2. Interact professionally with other employees, customers, and clients.
3. Work effectively as a team member.
4. Work independently while understanding the necessity for communicating and coordinating work efforts with other employees and organizations.
5. Exhibit exceptional integrity in all matters.
6. Lead by example.
Data Engineering & Pipeline Development
  • Design, implement, and manage ETL/ELT workflows within Microsoft Fabric, ensuring efficient data ingestion, transformation, and delivery.
  • Build and maintain Delta Lake solutions within a Medallion Architecture framework (Bronze, Silver, Gold layers), applying best practices for data quality, validation, and deduplication.
  • Integrate data from multiple internal and external systems using cloud-native services.
  • Monitor pipeline performance, proactively troubleshoot issues, and resolve bottlenecks.

Analytics & Reporting Enablement
  • Collaborate with analysts and stakeholders to understand business requirements and translate them into scalable technical solutions.
  • Develop analytical and dimensional data models optimized for reporting and self-service analytics.
  • Build and maintain Power BI semantic models, reports, and dashboards as needed.
  • Ensure datasets are well-documented, discoverable, and reliable for downstream use.
  • Communicate findings and data product status clearly to both technical and non-technical audiences, with a consistent emphasis on business value.

AI-Accelerated Development
  • Establish and operate agentic AI-assisted engineering workflows that generate the majority of transformation, pipeline, and documentation code upfront.
  • Leverage AI tooling to increase development velocity, improve code quality, and enhance consistency across data products.
  • Continuously refine AI usage patterns while maintaining quality, security, and governance standards.
  • Contribute to a culture of disciplined, high-output engineering through intentional use of AI tools.

Documentation & Quality
  • Maintain comprehensive technical documentation for all ETL processes, data logic, and system architecture.
  • Conduct testing and validation of data flows to ensure accuracy and compliance with data governance standards.
  • Contribute to and adhere to established coding, architecture, and documentation standards.

Essential Functions
Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.
  • Use of Fingers
  • Feeling
  • Speaking
  • Hearing
  • Repetitive Motions
  • Capable of making sound decisions by use of reasonable and logical judgments.
  • Demonstrated competence in understanding, interpreting, and communicating procedures, policies, information, ideas, and instructions.

Travel
Travel may be required occasionally to subsidiary sites and training opportunities.
Required Experience
  • 3-5 years of professional experience in data engineering, ETL orchestration, and multi-system data integration.
  • Hands-on experience with cloud data platforms; Microsoft Fabric, Azure (Synapse Analytics, Data Factory), or Databricks strongly preferred.
  • Solid understanding of data lakes, data warehouses, and lakehouse architectures.
  • Working knowledge of Medallion Architecture design and implementation.
  • Proficiency in Python, PySpark, Spark SQL, Delta Lake, and T-SQL.
  • Experience with data modeling and dimensional modeling to support analytics and reporting.
  • Demonstrated use of AI tools to enhance development velocity, code quality, and documentation.
  • Strong communication skills with the ability to articulate technical concepts and business value clearly to varied audiences.
  • Highly organized, detail-oriented, and committed to advancing the organization's mission.

Preferred Qualifications
  • Experience building and maintaining Power BI reports and semantic models.
  • Microsoft Fabric, Azure, or other cloud platform certifications.
  • Experience with Microsoft Fabric or Databricks as a primary platform.
  • Familiarity with dbt or other data quality and transformation frameworks.
  • Experience in a nonprofit or mission-driven organizational context.
  • Familiarity with agentic AI development workflows and/or MCP (Model Context Protocol) integration.
  • Commitment to continuous learning and professional growth.

Other Duties
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required by the employee. Management reserves the right to assign or reassign duties, activities, and responsibilities to this position at any time, with or without notice.

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