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Azure Big Data Engineer Jobs in Indiana (NOW HIRING)

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... Azure Functions, Data Factory, ADLS Gen2, and Power BI. * Optimize large-scale big data ... Utilize GitHub and Azure DevOps for CI/CD, version control, and automated deployments. * Manage ...

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Requirements * 3+ years of hands-on data engineering experience, including 2+ years building on Azure. * Strong SQL - complex joins, window functions, stored procedures, and query performance tuning.

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Requirements: * 3+ years of hands-on data engineering experience, including 2+ years building on Azure. * Strong SQL -- complex joins, window functions, stored procedures, and query performance ...

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Requirements * 3+ years of hands-on data engineering experience, including 2+ years building on Azure. * Strong SQL - complex joins, window functions, stored procedures, and query performance tuning.

Sr Databricks Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Master's degree in Computer Science, Engineering, or a related field Experience in one or more of AWS, Azure, and GCP cloud ecosystems and associated big data services Experience tuning and ...

Data Engineer

Chandler, IN · On-site

$82.66 - $137.76/hr

... for a variety of big data apps * Leverage AI/Agentic frameworks to automate data management ... data engineering including hands-on experience working with Cloud data solutions: creating ...

Data Engineer

Indianapolis, IN · On-site +1

$102K - $123K/yr

Position Summary The Data Engineer is responsible for designing, building, deploying, and ... Build and support Azure-based storage platforms, databases, and data services that enable ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

DDCS Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Delivery, Devices, and Connected Solutions (DDCS), Microsoft Azure Fabric (Lakehouse, Data Factory ... Engineering Experience (5+ Years)

Data Engineer I

Whiteland, IN · On-site

$114K - $137K/yr

At DHL Supply Chain, we're looking for a Data Engineer I who's excited to build reliable data ... Experience with Azure Data Factory, Azure Databricks, or Azure Synapse Analytics, preferred

Data Strategy-Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ... big data engineering tools - Proficiency in SQL and data visualization tools - Experience in ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... Azure). • Collaborate with CRM, Marketing, and Analytics teams to understand data needs and ... Engineer to ensure compliance with security controls and policies. • Stay current with emerging ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... Azure). • Collaborate with CRM, Marketing, and Analytics teams to understand data needs and ... Engineer to ensure compliance with security controls and policies. • Stay current with emerging ...

Data Engineer

Indianapolis, IN · On-site

$85 - $120/hr

The Data Engineer collaborates closely with the Information Technology, Analytics & Digital ... Support the integration of data into the enterprise data warehouse (Snowflake and Microsoft Azure)

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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 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:

Big data Architect with Azure Experience

Next Level Business Services, Inc.

Columbus, IN • On-site

$59 - $77/hr

Full-time

Re-posted 20 days ago


Job description

Company Description

**Next level Incorporation**


Job Description

Job Title: Big data Architect with Azure Experience

Location: Columbus, IN

Salary: 110K 

Experience - 10 - 15+ years

Hire Type - FTE only

Big Data Architect with Azure implementation Experience

Hands-on on Hive, Pig and Spark ( Scala) - be able to run pilots and poc for the customer

Assist the customer in defining the Ingestion strategies, reusable frameworks to be built

Lead a small team (onsite/offshore) for executing the data provisioning - Includes Main frame sources, RDBMS, flat files etc.

Handling evolving schemas

Sound knowledge of RDBMS data modelling SQL Data warehouse BI and ETL tools

Hands-on knowledge on Big Data Technologies HDFS, Hive, HBase, SPARK, Oozie, Sqoop, Pig.

Some knowledge of NoSQL databases types such as OLAP, Graph Key Value, Object XML, JSON, SQL, NOSQL, Tuple Store, Columnar in memory

Good knowledge of Unix Linux

Additional Information

All your information will be kept confidential according to EEO guidelines.