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Databricks Jobs in Indiana (NOW HIRING)

POLYWOOD

Director | Data Engineering

Syracuse, IN · On-site

Design and implement a scalable lakehouse medallion architecture within Databricks. * Establish ingestion, canonical, and business-ready data modeling layers with clear standards and naming ...

EXOS

Sr. Data Engineer

Indianapolis, IN · On-site

$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 ...

Vergence

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 ...

Vergence

ETL/Data Engineer

Indianapolis, IN

$107K - $129K/yr

Develop and optimize PySpark notebooks and jobs on Azure Databricks or Synapse Spark. Data Modeling & Warehousing * Design dimensional models (Kimball star/snowflake) and data vault patterns for ...

Onebridge

AWS Devops Cloud Engineer

Indianapolis, IN · On-site

$50.50 - $69/hr

Manage and support cloud-based data and analytics platforms, including Databricks, Amazon RDS, Redshift, and data lake environments. * Monitor platform health, performance, security, and operational ...

Onebridge

AWS Devops Cloud Engineer

Indianapolis, IN · On-site +1

$50.50 - $69/hr

Manage and support cloud-based data and analytics platforms, including Databricks, Amazon RDS, Redshift, and data lake environments. * Monitor platform health, performance, security, and operational ...

Onebridge

AWS Devops Cloud Engineer

Indianapolis, IN · Hybrid

$50.50 - $69/hr

Manage and support cloud-based data and analytics platforms, including Databricks, Amazon RDS, Redshift, and data lake environments. * Monitor platform health, performance, security, and operational ...

Dovel Technologies, Inc

Data Architect

Indianapolis, IN · On-site

$100 - $150/hr

Databricks** and **Palantir Foundry** as core delivery platforms.Key responsibilities include:* Lead the end‐to‐end design of data architectures supporting analytics, AI/ML, and operational ...

Guidehouse

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

SEP

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 ...

Eli Lilly and Company

Senior Data Engineer

Indianapolis, IN · On-site

$101K - $137K/yr

Develop and optimize data models, schemas, and data warehousing solutions (e.g., Databricks, AWS Redshift) to ensure high performance and data integrity. * Serve as a recognized authority across ...

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Showing results 21-40

All JobsDatabricks JobsDatabricks Jobs in Indiana

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.

Director | Data Engineering

POLYWOOD

Syracuse, IN • On-site

Full-time

Re-posted 21 days ago

Polywood rating

5.4

Company rating: 5.4 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

45th of 51 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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