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Azure Big Data Engineer Jobs in Indiana (NOW HIRING)

SEP

Data Engineer (in person)

Westfield, IN · On-site

$90 - $110/hr

Hands‑On experience with at least one cloud data platform (Azure preferred, AWS and GCP ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

SEP

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

Hands-On experience with at least one cloud data platforms (Azure preferred, AWS and GCP experience ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

Hands-On experience with at least one cloud data platforms (Azure preferred, AWS and GCP experience ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

Hands-On experience with at least one cloud data platforms (Azure preferred, AWS and GCP experience ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Theoris

Junior Data Engineer (no c2c)

Indianapolis, IN · On-site

$109K - $131K/yr

Junior Data Engineer (No C2C) LOCATION: Hybrid in Indianapolis INDUSTRY: Government JOB OVERVIEW ... Azure Data Factory and Microsoft Fabric exposure. * Wherescape, Informatica, Talend, or Databricks ...

RADcube

Pharma Data Engineer - Databricks AWS

Indianapolis, IN · On-site

$109K - $131K/yr

Pharma Data Engineer - Databricks & AWS Hybrid - Indianapolis, IN We are seeking a Data Engineer ... Cloud platforms -- AWS (S3, Glue, Athena) and/or Azure/Google Cloud Platform equivalents * Data ...

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Azure Big Data Engineer information

What does an Azure Big data engineer do?

An Azure Big Data Engineer is responsible for designing, building, and managing big data solutions using Microsoft Azure cloud technologies. They focus on processing large volumes of data, creating data pipelines, and ensuring data is stored and analyzed efficiently. Their work often involves tools such as Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Azure Big Data Engineers collaborate with data scientists, analysts, and other IT professionals to enable data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive as an Azure Big data engineer?

To thrive as an Azure Big Data Engineer, you need expertise in data engineering, cloud computing, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Services (like Azure Data Lake, Azure Synapse Analytics, and Azure Databricks), as well as certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving, and communication skills help you collaborate effectively with cross-functional teams and translate business needs into technical solutions. These skills and qualities are essential for building scalable, reliable data pipelines that drive business insights and innovation in cloud environments.

What are some common challenges Azure big data engineers face when integrating multiple data sources?

Azure Big Data Engineers often encounter challenges such as ensuring data consistency and quality when integrating disparate data sources like on-premises databases, cloud storage, and third-party APIs. Handling varying data formats and latency issues can also complicate data pipelines. To overcome these challenges, engineers typically use Azure Data Factory for orchestration, implement robust data validation, and collaborate closely with data architects and business analysts to align on integration requirements.

How much do Azure Big Data Engineers make?

Azure Big Data Engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and certifications such as Azure Data Engineer Associate. Salaries tend to be higher in regions with a strong tech industry and for professionals with advanced skills in cloud services and data processing tools.

Is Azure Big Data Engineer in demand?

Azure Big Data Engineers are in high demand due to the increasing adoption of cloud-based data solutions and the need for expertise in tools like Azure Data Lake, Synapse Analytics, and Spark. Organizations seek professionals skilled in data pipeline development, cloud architecture, and big data processing to support analytics and AI initiatives.

What are popular job titles related to Azure Big Data Engineer jobs in Indiana?

For Azure Big Data Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Azure Big Data Engineer jobs in Indiana look for?

The top searched job categories for Azure Big Data Engineer jobs in Indiana are:

What cities in Indiana are hiring for Azure Big Data Engineer jobs?

Cities in Indiana with the most Azure Big Data Engineer job openings:

Azure Big Data Engineer jobs near you

Data Engineer - Hybrid, Indianapolis

aFit

Indianapolis, IN • On-site

$110 - $140/hr

Other

Posted 3 days ago

New

Job description

Data EngineerAbout aFit

At aFit, we believe great people power great organizations. We connect talented professionals with opportunities where they can make a meaningful impact while continuing to grow their careers. Our team is committed to matching skilled individuals with organizations that value innovation, collaboration, and professional development.

About the Role

aFit is seeking a Data Engineer to support a State of Indiana government organization that serves as a centralized data and analytics hub supporting data-driven decision making and improved public services across the state. This is a contract-to-hire opportunity based in Indianapolis, offering the chance to work with enterprise-scale data initiatives that influence multiple agencies and stakeholders.

In this role, you will design and implement enterprise data architecture solutions while supporting data governance frameworks, integration strategies, and long-term data management initiatives. You will collaborate with both technical and business teams to ensure data is reliable, accessible, secure, and aligned with organizational goals.

The ideal candidate combines strong technical expertise with excellent communication skills and a desire to grow within a highly collaborative team environment.

What You'll DoData Engineering & Integration

Build reliable, scalable data solutions that connect systems and make information more accessible.

  • Design, develop, and support enterprise data solutions and integration workflows.
  • Build and maintain ETL/ELT pipelines that move and transform data across systems.
  • Work within Microsoft Azure and Azure Databricks environments.
  • Integrate data from multiple applications, databases, and enterprise platforms.
  • Support data warehousing and analytics environments.
  • Improve the performance, reliability, and scalability of existing data solutions.
Data Modeling & Architecture

Help shape how enterprise data is structured, stored, and used.

  • Develop and maintain logical and physical data models.
  • Contribute to enterprise data architecture and technical design decisions.
  • Design solutions that support scalability, performance, security, and accessibility.
  • Help modernize legacy data environments and support cloud migration initiatives.
  • Evaluate new technologies and recommend solutions based on technical and business needs.
Data Quality & Governance

Help ensure enterprise data is reliable, consistent, and useful.

  • Support data quality, integrity, consistency, and availability across systems.
  • Contribute to data governance and data management standards.
  • Support metadata management, stewardship, and documentation initiatives.
  • Partner with stakeholders to identify and resolve data-related challenges.
  • Help establish repeatable standards and best practices for enterprise data.
Collaboration & Technical Leadership

Connect technical solutions with real business needs.

  • Partner with technical teams, business stakeholders, and organizational leaders.
  • Translate business requirements into practical data solutions.
  • Communicate technical concepts clearly to both technical and non-technical audiences.
  • Provide technical guidance and contribute to project planning and implementation.
  • Support long-term data modernization and enterprise technology initiatives.
What You Bring
  • Enterprise Data Architecture Required 2+
  • Azure Cloud Environment Required Not Specified
  • AWS Cloud Environment Required Not Specified
  • Azure Databricks Required Not Specified
  • ETL Development & Data Integration Required Not Specified
  • Data Warehousing Concepts Required Not Specified
  • Data Governance (DCAM/DMBOK) Highly Desired Not Specified
  • Database Design & Data Modeling Required Not Specified
  • Project Leadership Required Not Specified
  • Stakeholder Communication Required Not Specified
Work Environment
  • Contract-to-Hire
  • Indianapolis, Indiana
  • Hybrid Schedule: 4 days onsite, 1 day remote
  • Full-Time (37.5 hours per week)
  • Long-term opportunity
Why This Role Matters

This opportunity allows you to influence enterprise data strategy across multiple State of Indiana organizations while helping improve how data supports public services and policy decisions. You'll join a growing team with significant opportunities for advancement, exposure to enterprise-scale data initiatives, and the ability to shape the future of data governance and analytics across the state.

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