ZipRecruiter

Log In

1

Temporary Databricks Data Engineer Jobs in Indiana

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$107.80K - $129.40K/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

$107.80K - $129.40K/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 ...

SEP

Data Engineer (in person)

Westfield, IN

$109.80K - $131.90K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

New

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109.80K - $131.90K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

SEP

Data Engineer (in person)

Westfield, IN

$109.80K - $131.90K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

CSpring

Sr. Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

... Databricks * 5 years of experience developing batch and/or streaming ETL/ELT processes * 5 years of experience with data warehouse or data lake concepts * Proficiency in at least one programming ...

Barnes and Thornburg LLP

Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

The Data Engineer will focus on backend data engineering tasks, developing and maintaining extract ... temporary or permanent basis, and with or without notice. Equal Employment and Opportunity ...

Deloitte

Databricks Engineer

Indianapolis, IN · On-site +1

Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for... * Build, configure, and support Databricks environments across Microsoft Azure, Amazon Web Services, and ...

next page

Showing results 1-20

People also search for

All JobsDatabricks Data Engineer JobsTemporary Databricks Data Engineer JobsTemporary Databricks Data Engineer Jobs in Indiana

Temporary Databricks Data Engineer information

What is the difference between Temporary Databricks Data Engineer vs Temporary Spark Data Engineer?

AspectTemporary Databricks Data EngineerTemporary Spark Data Engineer
Required SkillsDatabricks platform, Spark, SQL, Python, cloud servicesApache Spark, Scala, Python, SQL, cloud environments
CertificationsDatabricks Certified Data Engineer, cloud certificationsApache Spark certifications, cloud certifications
Work EnvironmentCloud-based Databricks platform, collaborative environmentOn-premises or cloud Spark clusters, flexible environments
Industry UsageData engineering projects leveraging Databricks platformBig data processing using Spark in various environments

While both roles involve Spark and cloud skills, a Temporary Databricks Data Engineer specializes in the Databricks platform, offering integrated tools and collaborative features. A Temporary Spark Data Engineer focuses on Spark core technology, often working in diverse environments. The choice depends on the specific platform and tools used by the employer.

What are the most commonly searched types of Databricks Data Engineer jobs in Indiana? The most popular types of Databricks Data Engineer jobs in Indiana are:
Temporary Databricks Data Engineer jobs near you

Data Engineer (No Sponsorship Available)

Heritage Construction + Materials

Indianapolis, IN • On-site

$109.40K - $131.40K/yr

Full-time

Posted 22 days ago

Job description

Build Your Career at Heritage Construction + Materials!
We are seeking a highly skilled Data Engineer to support the design, development, and implementation of our cloud data platform. This role is ideal for a Data Engineer who has experience in Databricks, cloud architecture, advanced data pipeline engineering, and building scalable, production-ready systems that support analytics, and enterprise-wide decision intelligence, with a potential to build and support AI/ML in the future.
In this role, you will architect cloud data solutions, optimize data operations, and guide the evolution of our modern data ecosystem. You will work closely with cross-functional partners, including finance and operations, to deliver high-impact, reliable, and efficient data products and strategic data initiatives.
This position requires U.S. work authorization
Essential Functions
  • Design, implement, and maintain scalable data pipelines within a cloud data platform (Azure preferred)
  • Build, optimize, and manage Databricks clusters, ensuring performance, cost efficiency, and reliable job execution
  • Develop and maintain Delta Lake tables, pipelines, and storage patterns to ensure data quality, versioning, and performance
  • Integrate Databricks with Azure services such as Azure Data Factory, ADLS, and Azure DevOps
  • Support the implementation of a new cloud-based data warehouse, defining architecture, governance, and standards
  • Build and automate CI/CD pipelines for data workflows using Azure DevOps
  • Design and implement monitoring solutions using Databricks monitoring tools, Azure Log Analytics, or custom dashboards
  • Collaborate with business and technical stakeholders to identify high-value data engineering and analytics opportunities and contribute to data governance initiatives
  • Apply modern data engineering best practices to support advanced use cases involving NLP, predictive analytics, and automation
  • Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company's core values, competencies, and skills.

Education Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field required

Experience Qualifications
  • 3+ years of experience in data engineering or cloud data architecture
  • Expertise in Databricks or Snowflake Cloud Data Platforms
  • Expertise with programming languages such as Python and/or SQL
  • Experience with Python Data Science Libraries (PySpark, Pandas, etc.)
  • Experience with Test Drive Development (TDD)
  • Automated CI/CD Pipelines
  • Linux / Bash / Docker
  • Database Schema Design and Optimization
  • Experience working in a cloud environment (Azure preferred) with strong understanding of cloud data architecture
  • Experience with workflow orchestration (e.g., Databricks Jobs, or Azure Data Factory pipelines)

Skills and Abilities
  • Strong analytical and problem-solving skills
  • Experience with programming languages such as Python, Java, R, or SQL
  • Experience with Databricks or Snowflake Cloud Data Platforms
  • Knowledge of statistical analysis and data visualization tools, such as PowerBI or Tableau
  • Proficient in Microsoft Office

About Heritage Construction + Materials
Heritage Construction + Materials (HC+M) is part of The Heritage Group, a privately held, family-owned business headquartered in Indianapolis. HC+M has core capabilities in infrastructure building. Its collection of companies provides innovative road construction and materials services across the Midwest. HC+M companies, including Asphalt Materials, Inc., Evergreen Roadworks, Milestone Contractors and US Aggregates, proudly employ 3,000 people at 68 locations across seven states. Learn more at www.heritagebuilds.com.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#HeritageConstruction+Materials

Apply