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Junior Azure Data Engineer Jobs in Indiana (NOW HIRING)

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Build robust data infrastructure on cloud platforms such as Azure Fabric, Synapse, Databricks, and ... Utilize GitHub and Azure DevOps for CI/CD, version control, and automated deployments. * Manage ...

Microsoft Fabric Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Microsoft Fabric Data Engineer Location: Indianapolis, IN. Let's create our future together at The ... Integrate Azure OpenAI (or equivalent) services into retrieval-augmented generation (RAG) solutions ...

Data Strategy-Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

The Fabric Data Engineer is an integral member of Lasting Change's data platform team, contributing ... Microsoft Fabric, Azure (Synapse Analytics, Data Factory), or Databricks strongly preferred.

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

We are seeking a highly skilled Data Engineer/Developer to join a growing team focused on building ... Experience with cloud platforms (AWS, Azure, or GCP) * Familiarity with data warehousing and ...

Fabric Data Engineer

Fort Wayne, IN

$104K - $125K/yr

Description The Fabric Data Engineer is an integral member of Lasting Change's data platform team ... Microsoft Fabric, Azure (Synapse Analytics, Data Factory), or Databricks strongly preferred.

$103K - $124K/yr

We are seeking a Data Engineer for our First Quality Enterprises, LLC working remotely from the ... Strong proficiency in SQL, ADF, Azure Databricks or any other ETL tools. * Deep understanding of ...

Data Engineer

Indianapolis, IN · On-site

$120 - $180/hr

What You Will DoData Engineering & Pipeline Development * Design, develop, and optimize scalable ... Experience with cloud data platforms (Databricks, AWS/Azure/GCP) and services (S3, Redshift ...

Sr Databricks Data Engineer

Indianapolis, IN

$109K - $131K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud ... Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

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 ...

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 ...

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 ...

Showing results 41-60

Junior Azure Data Engineer information

See Indiana salary details

$31.9K

$68.3K

$104.2K

How much do junior azure data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for junior azure data engineer in Indiana is $68,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,200.00 and $76,100.00 per year, depending on experience, location, and employer.

What is a junior Azure Data engineer?

A Junior Azure Data Engineer is an entry-level role focused on designing, building, and maintaining data solutions on Microsoft Azure. They assist in data ingestion, transformation, and storage using Azure services like Azure Data Factory, Synapse Analytics, and Databricks. Their responsibilities typically include data pipeline development, ETL processes, and ensuring data security and compliance. They often work under senior engineers to optimize data solutions and troubleshoot issues. This role requires knowledge of cloud computing, SQL, and data processing frameworks.

What does a junior Azure Data engineer do?

As a Junior Azure Data Engineer, your day-to-day tasks might include assisting with the design, development, and maintenance of data pipelines using Azure Data Factory, writing SQL queries for data extraction or transformation, and performing routine data validation to ensure data integrity. You’ll often collaborate with senior engineers, data analysts, and business stakeholders to gather requirements and deliver accurate data solutions aligned with company needs. In addition, you may assist in monitoring cloud resources, troubleshooting data flow issues, and updating documentation. This role is a great entry point for developing your skills in cloud data engineering and building a solid foundation for future growth.

What are the key skills and qualifications needed to thrive as a junior Azure Data engineer?

To excel as a Junior Azure Data Engineer, you need foundational knowledge of data modeling, ETL processes, SQL, and cloud platforms, typically backed by a degree in computer science or a related field. Familiarity with Microsoft Azure services such as Azure Data Factory, Azure SQL Database, and basic understanding of data lake storage, along with entry-level certifications like Microsoft Azure Fundamentals, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you effectively translate business requirements into technical solutions and collaborate with team members. These competencies are crucial for ensuring reliable data pipeline development, supporting data-driven decision-making, and growing within the data engineering profession.

What are the most commonly searched types of Azure Data Engineer jobs in Indiana?

The most popular types of Azure Data Engineer jobs in Indiana are:

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

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

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

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

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

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

Infographic showing various Junior Azure Data Engineer job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,322 per year, or $32.8 per hour.

Cloud Data Engineer

Prophecy Technologies

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Posted 6 days ago


Job description

Role Overview:
Responsible for developing, deploying, and optimizing scalable data pipelines, data models, and analytics solutions to support enterprise-wide business insights and decision-making. This role requires expertise in cloud data engineering, data warehousing, advanced SQL, and Python/PySpark transformations, with the ability to translate data into actionable business recommendations. The ideal candidate brings deep technical experience, strong analytical skills, and cross-functional collaboration abilities, preferably within the pharmaceutical or healthcare domain.
Key Responsibilities:
  • Develop and maintain scalable ETL/ELT pipelines using Python, PySpark, and SQL for structured and unstructured data ingestion.
  • Build robust data infrastructure on cloud platforms such as Azure Fabric, Synapse, Databricks, and AWS.
  • Implement end-to-end automation for data ingestion, streaming, scheduling, and monitoring across Azure Functions, Data Factory, ADLS Gen2, and Power BI.
  • Optimize large-scale big data architectures for performance and scalability.
  • Design and maintain multidimensional models (Star/Snowflake Schema) including fact and dimension tables, views, and stored procedures.
  • Manage complex datasets ensuring alignment with functional and non-functional requirements.
  • Learn foundational SAP S4/HANA and BW4 data models to support financial analytics.
  • Utilize GitHub and Azure DevOps for CI/CD, version control, and automated deployments.
  • Manage artifact deployment across environments with risk assessments and impact analysis.
  • Implement process improvements and workflow automation.
  • Partner with business stakeholders to gather requirements and translate them into analytical solutions.
  • Develop analytics and reporting solutions supporting Global Finance transformation strategy.
  • Develop dashboards and BI tools using Power BI/Tableau, translating outcomes into actionable insights with KPIs.
  • Troubleshoot data-related issues and perform root cause analysis.

Required Skills:
  • 5-8 years of hands-on experience in data engineering and cloud data warehousing (Azure Synapse, Fabric, Databricks, Redshift, or Snowflake).
  • Expert SQL proficiency across relational databases and cloud data warehouses, plus strong Python and PySpark skills for data transformation and pipeline development.
  • Data modelling expertise including dimensional modelling (facts, dims), normalization/de-normalization, views, and stored procedures for automation.
  • End-to-end ownership of project delivery with proven ability to translate business problems into scalable analytical solutions.
  • Big data architecture experience building and optimizing large-scale pipelines across structured and unstructured datasets.
  • Visualization expertise with Power BI and/or Tableau to present complex findings clearly.
  • Strong documentation and communication skills to support operational standards and collaborate with cross-functional teams.
  • Experience with root cause analysis, continuous improvement, and Agile delivery methodologies.

Qualifications:
  • Bachelor's or Master's degree in Technology, Computer Science, Engineering, or related field.

Preferred Skills:
  • Experience with SQL and NoSQL databases (AWS Redshift, Postgres, Databricks etc.).
  • Pharmaceutical or healthcare dataset experience.
  • Cloud expertise in AWS/Azure; Microsoft Fabric experience is a strong advantage.
  • CI/CD experience using GitHub or Azure DevOps.
  • Proficiency in Python/PySpark, R, Scala, or additional scripting languages.
  • AI & Gen AI - Products & Tools.