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Senior Cloud 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 ... Integrate data from multiple internal and external systems using cloud-native services. * Monitor ...

SEP

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/yr

At SEP, we're building that foundation - and we're looking for a Senior Data Engineer who's ready ... Experience with cloud data platforms - Azure preferred, AWS experience also valued * Familiarity ...

SEP

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/yr

At SEP, we're building that foundation -- and we're looking for a Senior Data Engineer who's ready ... Experience with cloud data platforms -- Azure preferred, AWS experience also valued * Familiarity ...

SEP

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/yr

At SEP, we're building that foundation - and we're looking for a Senior Data Engineer who's ready ... Experience with cloud data platforms - Azure preferred, AWS experience also valued * Familiarity ...

Virtusa Corporation

GCP Architect

Columbus, IN · On-site

$59.25 - $76.25/hr

... Data Processing Google Cloud Platform (GCP) Google Cloud Platform, BigQuery, Dataflow, Pub/Sub, Vertex AI, Cloud Architecture, GCP Professional Data Engineer, GCP Professional Cloud Architect AI ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which ... Hands-on experience with cloud data platforms, data warehouses, or data lakes * Experience building ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which ... Hands-on experience with cloud data platforms, data warehouses, or data lakes * Experience building ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN

$104K - $125K/yr

Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which ... Hands-on experience with cloud data platforms, data warehouses, or data lakes * Experience building ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which ... Hands-on experience with cloud data platforms, data warehouses, or data lakes * Experience building ...

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 ... least one cloud data platforms (Azure preferred, AWS and GCP experience also valued) • ...

EXOS

Sr. Data Engineer

Indianapolis, IN

$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 ...

Allied Solutions LLC

Senior Data Engineer

Carmel, IN · On-site

$105K - $143K/yr

The Senior Data Engineer plays a critical role in the successful execution of Allied's Data ... Experience with cloud-based technologies and services (SaaS, PaaS, IaaS) (preferred) * Experience ...

New

Merchants Bancorp

Data Engineer

Carmel, IN · On-site

$108K - $130K/yr

We are seeking a skilled Data Engineer , along with at least three years of experience, who will ... Experience with cloud-based orchestration or event-driven patterns. Our Benefits: Health, Vision ...

Merchants Bank of Indiana

Data Engineer

Carmel, IN · On-site

$108K - $130K/yr

We are seeking a skilled Data Engineer , along with at least three years of experience, who will ... Experience with cloud-based orchestration or event-driven patterns. Our Benefits: Health, Vision ...

K1X

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

... cloud-based data platforms (Azure preferred). - Understanding of data quality, reliability, and ... It's Truly a Match If You Have - An engineering mindset applied to data platforms. - Passion for ...

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Senior Cloud Data Engineer information

What is a senior cloud data engineer?

Senior Cloud Data Engineers are experienced professionals who design, build, and maintain data processing systems on cloud platforms. They are responsible for creating scalable, secure, and efficient data pipelines and ensuring data is accessible for analysis and reporting. These engineers often work with tools and services from cloud providers like AWS, Azure, or Google Cloud, and collaborate closely with data scientists, architects, and other stakeholders. Their expertise in both cloud infrastructure and data engineering allows organizations to leverage large volumes of data for business insights.

What are some common challenges faced by senior cloud data engineers when migrating on-premises data systems to the cloud?

Senior Cloud Data Engineers often encounter challenges such as ensuring data integrity and security during migration, minimizing downtime, and handling compatibility issues between legacy systems and cloud platforms. They also need to optimize data pipelines for scalability and cost-effectiveness in the new environment. Close collaboration with stakeholders from IT, security, and business units is crucial to align migration goals and manage expectations throughout the process.

What are the key skills and qualifications needed to thrive as a senior cloud data engineer, and why are they important?

To thrive as a Senior Cloud Data Engineer, you need advanced expertise in data engineering, cloud platforms (such as AWS, Azure, or Google Cloud), programming languages (like Python or Scala), and a strong foundation in database technologies. Proficiency with cloud-based tools (e.g., AWS Glue, Azure Data Factory), big data frameworks (such as Spark or Hadoop), and relevant certifications (like AWS Certified Data Analytics) is highly valued. Strong problem-solving skills, effective communication, and the ability to collaborate across teams help you excel in designing and optimizing complex data solutions. These skills ensure scalable, secure, and efficient data pipelines that support business analytics and innovation.

What is the difference between Senior Cloud Data Engineer vs Cloud Data Engineer?

AspectSenior Cloud Data EngineerCloud Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced certifications (e.g., AWS Certified Data Analytics), and expertise in cloud platformsEntry to mid-level experience, foundational certifications, and basic cloud platform knowledge
Work EnvironmentDesigns and oversees complex data pipelines, mentors junior staff, and handles high-level architectureBuilds and maintains data pipelines, performs data integration, and supports data operations
Employer & Industry UsageUsed in large enterprises, tech companies, and data-driven organizationsCommon in startups, mid-sized companies, and organizations adopting cloud data solutions

The main difference between a Senior Cloud Data Engineer and a Cloud Data Engineer lies in experience, responsibilities, and expertise. Senior roles involve leadership, complex architecture, and mentorship, while Cloud Data Engineers focus on building and maintaining data pipelines. Both roles are essential in cloud data environments, but senior positions require more advanced skills and strategic oversight.

What are popular job titles related to Senior Cloud Data Engineer jobs in Indiana?

For Senior Cloud Data Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Senior Cloud Data Engineer jobs in Indiana look for?

The top searched job categories for Senior Cloud Data Engineer jobs in Indiana are:

What cities in Indiana are hiring for Senior Cloud Data Engineer jobs?

Cities in Indiana with the most Senior Cloud Data Engineer job openings:

Senior Cloud Data Engineer jobs near you
Infographic showing various Senior Cloud 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.

Fabric Data Engineer

Lasting Change, Inc

Fort Wayne, IN • On-site

$104K - $125K/yr

Full-time

Re-posted 21 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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