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Contract 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 ...

Allegion

Lead Platform Data Engineer

Carmel, IN

Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to standardize ... g., Snowflake, Databricks, or BigQuery). Mastery of SQL is non-negotiable. * Modern Languages:

Allegion

Lead Platform Data Engineer

Carmel, IN · On-site

Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to standardize ... g., Snowflake, Databricks, or BigQuery). Mastery of SQL is non-negotiable. * Modern Languages:

Pwc

GenAI Python Systems Engineer-Manager

Indianapolis, IN · On-site

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

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 ...

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 ...

AEG

Senior Data Engineer - Analytics

Indianapolis, IN · On-site

$117.10K - $154.30K/yr

Establish and govern the consumption contracts between the data platform and downstream products ... Databricks preferred. * Production experience with dbt for transformation and modeling, and Airflow ...

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Contract Databricks Data Engineer information

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

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.

What are some common challenges faced by contract Databricks Data Engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What are Contract Databricks Data Engineers?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.
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Contract 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

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