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Databricks Jobs in Indiana (NOW HIRING)

What You'll Do: • Design and implement a scalable lakehouse medallion architecture within Databricks. • Establish ingestion, canonical, and business-ready data modeling layers with clear ...

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Hands-on experience with Databricks * Strong proficiency in Python and Spark * Experience developing and optimizing ETL/ELT pipelines * Background working with legacy Microsoft tools such as SSIS and ...

Sr. Data Engineer

Indianapolis, IN

$109K - $131K/yr

Develop solutions within Databricks to support scalable data processing * Implement and support CI/CD pipelines for data workflows * Create reusable, modular code to improve development efficiency ...

Build and maintain interactive dashboards and data products using Databricks dashboard, Power BI or Tableau to enable real-time decision-making. * Implement best practices in software engineering ...

New

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

ETL/Data Engineer

Indianapolis, IN

$107K - $129K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Data Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

Design secure, scalable data platforms leveraging Databricks (Spark, Delta Lake) and Palantir Foundry * Establish architecture standards for data integration, metadata, lineage, and data quality

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

... Databricks, Snowflake, Microsoft Fabric, or Redshift • Familiarity with orchestration and workflow management (Apache Airflow, Databricks Workflows, Temporal, or similar) • Experience writing ...

Senior Manager Data Architecture

Columbus, IN

$62.50 - $83.75/hr

You will lead a team of architects and modelers, driving the evolution of our modern data platform leveraging Microsoft Azure, Snowflake, and Databricks. This role requires a blend of hands-on ...

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 ...

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

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

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 ...

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 ...

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 ...

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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:
Director | Data Engineering

Director | Data Engineering

POLYWOOD

Syracuse, IN • On-site

Full-time

Posted yesterday

Be an early applicant


Polywood rating

5.2

Company rating: 5.2 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

39th of 46 rated furniture manufacturers


Job description

Description:


HELP BUILD THE DATA FOUNDATION THAT POWERS SMARTER DECISIONS.

POLYWOOD® is looking for a Director of Data Engineering who thrives in a hands-on leadership environment and enjoys building scalable enterprise data platforms. This role is perfect for someone who loves designing architecture, establishing governance, and transforming raw ingestion pipelines into a structured, reliable Databricks lakehouse that powers enterprise reporting, operational analytics, and Direct-to-Consumer performance measurement.



What You’ll Do:

• Design and implement a scalable lakehouse medallion architecture within Databricks.

• Establish ingestion, canonical, and business-ready data modeling layers with clear standards and naming conventions.

• Build and maintain structured, governed fact and dimension models for enterprise reporting.

• Oversee ingestion pipelines using Fivetran, Airbyte, and custom integrations while optimizing cost and performance.

• Develop and manage SQL and Python transformation jobs including incremental processing, upsert logic, and snapshot modeling.

• Implement orchestration, monitoring, data quality validation, and failure recovery processes.

• Define enterprise data governance standards including access controls and reconciliation processes.

• Integrate ERP, Shopify, GA4, Google Ads, Meta Ads, and catalog marketing data into unified customer and order models.

• Lead and mentor a small team of data and analytics engineers while setting coding and review standards.

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What You Bring:

• 7+ years of experience in data engineering, analytics engineering, or data architecture.

• 3+ years leading data platform or warehouse initiatives.

• Expert-level expertise in Databricks and medallion architecture design.

• Advanced SQL proficiency and strong Python experience for data transformations.

• Experience designing fact/dimension models and implementing incremental pipelines and snapshot logic.

• Strong understanding of data governance, access control, and quality frameworks.

• Experience integrating commerce, finance, ERP, and marketing data sources into structured models.

• Strong communication skills and the ability to collaborate across technical and business teams.

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Bonus Skills:

• Experience with Direct-to-Consumer and commerce analytics environments.

• Experience optimizing pipeline cost and performance within cloud data platforms.

• Experience formalizing enterprise metric definitions across finance and operations.

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Why You’ll Love Working With Us:

• Valued Contribution: Build the foundational data infrastructure that powers enterprise decisions.

• Growth Opportunities: Shape standards, architecture, and long-term data strategy.

• Team Environment: Partner with business leaders and analytics teams to deliver trusted insights.

• Purpose Driven Work: Enable scalable analytics that strengthen operations, finance, and commerce performance.

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About Us

At POLYWOOD®, we design and build outdoor furniture that brings people together and stands the test of time. We do this using sustainable materials like our genuine POLYWOOD® lumber made from recycled plastics. But the strength of our products starts with the strength of our systems and our people.
This role plays an important part in operationalizing our Databricks investment by building a cohesive, governed, and scalable enterprise data warehouse. By establishing reliable ingestion, transformation, and modeling standards, you help ensure our organization can make confident, data-driven decisions at scale.


Check out this video - Genuine Polywood
If this sounds like the kind of impact you want to make, we’d love to meet you! Apply today!

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POLYWOOD is an equal opportunity employer. POLYWOOD evaluates qualified applicants without regard to characteristics protected by federal, state, or local laws. #ZR

Requirements:



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