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Contract Databricks Developer Jobs in Indiana (NOW HIRING)

Buaut

BI Developer

Lebanon, IN · On-site

Any (Which doesn''t require sponsorship) Contract: 6+ months with possible extension Job Summary We are looking for an experienced Senior Azure Databricks & Microsoft Fabric Data Engineer to design ...

Allegion

Lead Platform Data Engineer

Carmel, IN · On-site

... Contracts (OpenAPI/AsyncAPI) to standardize identity layers and ensure consistency across the ... Databricks, or BigQuery). Mastery of SQL is non-negotiable. • Advanced Python and/or Go/Java for ...

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:

All JobsContract Databricks Developer JobsContract Databricks Developer Jobs in Indiana

Contract Databricks Developer information

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are some common challenges faced by Contract Databricks developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.
What are the most commonly searched types of Databricks Developer jobs in Indiana? The most popular types of Databricks Developer jobs in Indiana are:
What are popular job titles related to Contract Databricks Developer jobs in Indiana? For Contract Databricks Developer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Developer jobs in Indiana look for? The top searched job categories for Contract Databricks Developer jobs in Indiana are:
Contract Databricks Developer jobs near you

BI Developer

Buaut

Lebanon, IN • On-site

Other

Posted 22 days ago

Job description

 
Role: BI Developer
Location: Lebanon, Indiana (Onsite-5 days a week at client location)
Experience: 5-7 Years
Visa: Any (Which doesn''t require sponsorship)
Contract: 6+ months with possible extension
 
 
Job Summary
We are looking for an experienced Senior Azure Databricks & Microsoft Fabric Data Engineer to design, develop, and implement scalable cloud-based data platforms using Microsoft Azure technologies. The ideal candidate should have strong hands-on experience with Azure Databricks, Microsoft Fabric, and modern data engineering practices, along with the ability to deliver enterprise-scale data platform solutions from design through production deployment.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Azure Databricks.
  • Develop ETL/ELT workflows using PySpark, Spark SQL, Delta Lake, and Databricks Notebooks.
  • Build and optimize Lakehouse and Data Warehouse architectures.
  • Develop and manage Microsoft Fabric Lakehouses, Dataflows Gen2, Data Pipelines, and OneLake solutions.
  • Perform data ingestion, transformation, validation, and performance tuning.
  • Collaborate with business stakeholders, solution architects, BI developers, and cross-functional teams to translate business requirements into technical solutions.
  • Participate in solution design, code reviews, testing, deployment, and production support.
  • Follow best practices for data security, governance, documentation, and CI/CD.
Mandatory Skills
  • Strong hands-on experience with Azure Databricks.
  • Expertise in PySpark, Spark SQL, Delta Lake, and Databricks Notebooks.
  • Solid working knowledge of Microsoft Fabric, including Lakehouses, Dataflows Gen2, Data Pipelines, and OneLake.
  • Strong understanding of Data Warehouse and Lakehouse architecture.
  • Experience delivering large-scale enterprise data platform projects from design to production.
  • Strong SQL skills and data modelling experience.
  • Excellent communication and stakeholder management skills.
Good to Have
  • Power BI (Data Modelling, DAX, Power Query, Report Development).
  • Azure Data Factory, Azure Data Lake Storage Gen2, Azure DevOps, Git, CI/CD.
  • Azure Synapse Analytics, Unity Catalog, Microsoft Purview.
  • Experience in Agile/Scrum environments.
  • Microsoft Azure or Microsoft Fabric certifications.
Required Experience
  • 8–15 years of overall IT experience with at least 4+ years in Azure Data Engineering.
  • Proven experience building enterprise-scale cloud data platforms.
  • Experience working with structured and semi-structured data.
  • Strong problem-solving and analytical skills with the ability to work independently.
Education
Bachelor''s or Master''s degree in Computer Science, Information Technology, Engineering, or a related discipline.
Preferred Domain Experience
Experience in Manufacturing, Pharmaceuticals, Healthcare, Life Sciences, or Supply Chain domains will be an advantage. Exposure to regulated environments (GxP/FDA) is desirable.
Keywords: Azure Databricks, PySpark, Delta Lake, Microsoft Fabric, Lakehouse, OneLake, Dataflows Gen2, Data Pipelines, SQL, Data Warehouse, Azure Data Engineering, Power BI, DAX, Azure DevOps, ETL, Cloud Data Platform.
 

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