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Junior Azure Data Engineer Jobs in Indiana (NOW HIRING)

Lasting Change, Inc

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.

EXOS

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 ...

Lasting Change Inc

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.

Pwc

Data Governance- 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 ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$77K - $202K/yr

... and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions - Leveraging Apache Airflow and ...

Albanese Candy

Data Engineer

Merrillville, IN · On-site

$112K - $134K/yr

UNDERSTANDING The Data Analyst/Programmer is responsible for leveraging organizational data for the ... Experience in AWS, Azure or other AI engine software solutions. * Experience with API writing

Albanese Candy

Data Engineer

Merrillville, IN · On-site

$112K - $134K/yr

Description UNDERSTANDING The Data Analyst/Programmer is responsible for leveraging organizational ... Experience in AWS, Azure or other AI engine software solutions. * Experience with API writing

Elevance Health

Senior Data Engineer

Indianapolis, IN · Hybrid

$101K - $137K/yr

Relevant Microsoft Fabric, Azure Data, Databricks, cloud architecture, or data-engineering certifications are preferred. Security certifications such as CISSP, ISSAP, ISSEP, or equivalent ...

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

... engineer to join their growing data practice. The role involves building and maintaining data ... Azure preferred, AWS and GCP experience also valued) • Familiarity with modern data platforms ...

Elevance Health

Senior Data Engineer

Indianapolis, IN · On-site

$101K - $137K/yr

Relevant Microsoft Fabric, Azure Data, Databricks, cloud architecture, or data-engineering certifications are preferred. Security certifications such as CISSP, ISSAP, ISSEP, or equivalent ...

Elevance Health

Senior Data Engineer

Indianapolis, IN · Hybrid

$101K - $137K/yr

Relevant Microsoft Fabric, Azure Data, Databricks, cloud architecture, or data-engineering certifications are preferred. Security certifications such as CISSP, ISSAP, ISSEP, or equivalent ...

CSpring

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Bachelor's degree in in computer science, software engineering or a closely related field; a Master's degree is preferred * 5 years of experience with Azure solutions such as functions, Synapse Data ...

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 ...

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Junior Azure Data Engineer information

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$31.9K

$68.3K

$104.2K

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

As of Aug 8, 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 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 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 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:
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Junior Azure Data Engineer jobs near you
Infographic showing various Junior Azure Data Engineer job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% 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.

Fabric Data Engineer

Lasting Change, Inc

Fort Wayne, IN • On-site

$104K - $125K/yr

Full-time

Re-posted 8 days ago

Job description

The Fabric Data Engineer is an integral member of Lasting Change's data platform team, contributing hands-on to the development, optimization, and governance of Petra, the organization's enterprise data lakehouse built on Microsoft Fabric. This role focuses on building reliable, performant data pipelines and analytical data products that drive meaningful business insights across the organization.
The Fabric Data Engineer brings a strong builder mindset - equally comfortable writing high-quality transformation code, establishing agentic AI-assisted development workflows, and communicating clearly with business stakeholders to deliver solutions with measurable impact. This role is a key contributor to Lasting Change's mission of becoming a data-driven organization.
Requirements
Company Conformance Statements / Essential Personal Characteristics
In the performance of their respective tasks and duties, all employees are expected to conform to the following:
1. Perform quality work within deadlines with or without direct supervision.
2. Interact professionally with other employees, customers, and clients.
3. Work effectively as a team member.
4. Work independently while understanding the necessity for communicating and coordinating work efforts with other employees and organizations.
5. Exhibit exceptional integrity in all matters.
6. Lead by example.
Data Engineering & Pipeline Development
  • Design, implement, and manage ETL/ELT workflows within Microsoft Fabric, ensuring efficient data ingestion, transformation, and delivery.
  • Build and maintain Delta Lake solutions within a Medallion Architecture framework (Bronze, Silver, Gold layers), applying best practices for data quality, validation, and deduplication.
  • Integrate data from multiple internal and external systems using cloud-native services.
  • Monitor pipeline performance, proactively troubleshoot issues, and resolve bottlenecks.

Analytics & Reporting Enablement
  • Collaborate with analysts and stakeholders to understand business requirements and translate them into scalable technical solutions.
  • Develop analytical and dimensional data models optimized for reporting and self-service analytics.
  • Build and maintain Power BI semantic models, reports, and dashboards as needed.
  • Ensure datasets are well-documented, discoverable, and reliable for downstream use.
  • Communicate findings and data product status clearly to both technical and non-technical audiences, with a consistent emphasis on business value.

AI-Accelerated Development
  • Establish and operate agentic AI-assisted engineering workflows that generate the majority of transformation, pipeline, and documentation code upfront.
  • Leverage AI tooling to increase development velocity, improve code quality, and enhance consistency across data products.
  • Continuously refine AI usage patterns while maintaining quality, security, and governance standards.
  • Contribute to a culture of disciplined, high-output engineering through intentional use of AI tools.

Documentation & Quality
  • Maintain comprehensive technical documentation for all ETL processes, data logic, and system architecture.
  • Conduct testing and validation of data flows to ensure accuracy and compliance with data governance standards.
  • Contribute to and adhere to established coding, architecture, and documentation standards.

Essential Functions
Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.
  • Use of Fingers
  • Feeling
  • Speaking
  • Hearing
  • Repetitive Motions
  • Capable of making sound decisions by use of reasonable and logical judgments.
  • Demonstrated competence in understanding, interpreting, and communicating procedures, policies, information, ideas, and instructions.

Travel
Travel may be required occasionally to subsidiary sites and training opportunities.
Required Experience
  • 3-5 years of professional experience in data engineering, ETL orchestration, and multi-system data integration.
  • Hands-on experience with cloud data platforms; Microsoft Fabric, Azure (Synapse Analytics, Data Factory), or Databricks strongly preferred.
  • Solid understanding of data lakes, data warehouses, and lakehouse architectures.
  • Working knowledge of Medallion Architecture design and implementation.
  • Proficiency in Python, PySpark, Spark SQL, Delta Lake, and T-SQL.
  • Experience with data modeling and dimensional modeling to support analytics and reporting.
  • Demonstrated use of AI tools to enhance development velocity, code quality, and documentation.
  • Strong communication skills with the ability to articulate technical concepts and business value clearly to varied audiences.
  • Highly organized, detail-oriented, and committed to advancing the organization's mission.

Preferred Qualifications
  • Experience building and maintaining Power BI reports and semantic models.
  • Microsoft Fabric, Azure, or other cloud platform certifications.
  • Experience with Microsoft Fabric or Databricks as a primary platform.
  • Familiarity with dbt or other data quality and transformation frameworks.
  • Experience in a nonprofit or mission-driven organizational context.
  • Familiarity with agentic AI development workflows and/or MCP (Model Context Protocol) integration.
  • Commitment to continuous learning and professional growth.

Other Duties
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required by the employee. Management reserves the right to assign or reassign duties, activities, and responsibilities to this position at any time, with or without notice.

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