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Databricks Software 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 ...

SynergisticIT

Backend Developer

Indianapolis, IN · On-site

NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow REQUIRED SKILLS For Java /Full stack/Software Positions Bachelors degree or Masters degree in Computer Science, Computer Engineering ...

SynergisticIT

Python/R Programmer

Indianapolis, IN · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python ... NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. If you get emails from our job ...

Eli Lilly

Data Architect, Data Foundry

Indianapolis, IN · On-site

$61 - $78.50/hr

Everything the software engineering team builds--pipelines, APIs, prototypes--depends on the data ... Design and implement data lakehouse architecture using modern platforms (Databricks, Snowflake, or ...

Allied Solutions LLC

Senior AI Architect

Carmel, IN · On-site

... for AI software design, performance optimization, and deployment across cloud and on-prem ... Databricks, and OpenAI APIs. • Demonstrated experience leading cross-functional teams and ...

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Databricks Software information

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at top tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Expertise in platforms like Databricks, strong coding skills, and experience in scalable data solutions are often required for such compensation levels.

What is Databricks Software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

Is Databricks a high paying company?

As a company specializing in data analytics and cloud-based platforms, Databricks is known to offer competitive salaries for software roles, often above industry averages, especially for positions requiring skills in Spark, Python, and cloud services. Compensation can vary based on experience, location, and role level, but overall, it is considered a high-paying employer in the tech industry.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Compensation may also include bonuses, stock options, and benefits. Entry-level roles tend to start lower, while senior positions and specialized skills can command higher pay.

What are some common challenges faced by Databricks Software Engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What are the key skills and qualifications needed to thrive as a Databricks Software Engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What exactly are Databricks jobs?

Databricks jobs are automated tasks or workflows scheduled within the Databricks platform to run data processing, analytics, or machine learning tasks. They typically involve configuring job parameters, dependencies, and schedules using the Databricks workspace or APIs to ensure efficient data pipeline execution.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Indiana? For Databricks Software jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Indiana look for? The top searched job categories for Databricks Software jobs in Indiana are:
What cities in Indiana are hiring for Databricks Software jobs? Cities in Indiana with the most Databricks Software job openings:
Databricks Software jobs near you

Fabric Data Engineer

Lasting Change, Inc

Fort Wayne, IN • On-site

$104K - $125K/yr

Full-time

Posted 29 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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