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Data Engineer 1 Jobs in Indiana (NOW HIRING)

Lasting Change, Inc

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

... 1. Perform quality work within deadlines with or without direct supervision. 2. Interact ... Data Engineering & Pipeline Development * Design, implement, and manage ETL/ELT workflows within ...

Bespoke Labs

Data Engineer

Gary, IN · On-site

$113K - $136K/yr

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Lasting Change Inc

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

... 1. Perform quality work within deadlines with or without direct supervision. 2. Interact ... Data Engineering & Pipeline Development * Design, implement, and manage ETL/ELT workflows within ...

CSpring

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our team has an immediate opening for a full-time, Sr. Data Engineer. If the idea of working on ... Proficiency in at least one programming language, such as Python or R * Experience with a BI ...

WinWire

Data Engineer

Indianapolis, IN · On-site

$120K/yr

S. Department of Labour. Employment Information: 1. Location of Employment (City, State): 450 Elanco Circle, Indianapolis, IN 46221 2. H-1B Job Title: Data Engineer 3. Occupation Code: 15-2051.00 ...

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) • ...

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 ...

CSpring

Azure Data Engineer

Indianapolis, IN

$109K - $131K/yr

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data ... Working experience with at least one of Azure Synapse Analytics, Databricks, or Azure SQL. * Python ...

CSpring

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data ... Working experience with at least one of Azure Synapse Analytics, Databricks, or Azure SQL. * Python ...

CSpring

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data ... Working experience with at least one of Azure Synapse Analytics, Databricks, or Azure SQL. * Python ...

Endress+Hauser

Industrial Engineer 1

Greenwood, IN · On-site

$66K - $89K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data. • Coordinate and implement engineering changes through SAP while ensuring smooth ... field • 1-3 years of experience in a manufacturing, operations, or industrial engineering ...

Elevance Health

Senior Data Engineer

Indianapolis, IN · Hybrid

$101K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 - 2days per week, fostering collaboration and connectivity, while providing flexibility to support ...

Endress+Hauser Gruppe

Industrial Engineer 1

Greenwood, IN

$66K - $89K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industrial Engineer 1 At Endress+Hauser, progress happens by working together. As the global leader ... Collect, analyze, and maintain manufacturing data to support planning, material control, and ...

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

Implement Slowly Changing Dimensions (Type 1/2/3), Change Data Capture, and late-arriving data ... Platform Engineering & DevOps * Implement CI/CD for data pipelines using Azure DevOps (YAML ...

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

... Type 1/2/3), Change Data Capture, and late-arriving data patterns. • Tune distributed SQL ... Platform Engineering & DevOps • Implement CI/CD for data pipelines using Azure DevOps (YAML ...

Caraa

Principal Data Engineer

Indianapolis, IN · On-site

$150 - $190/hr

This one starts with a blank canvas. As Principal Data Engineer , you'll architect Gather AI's data foundation from the ground up: separating analytical workloads from live production traffic ...

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Showing results 21-40

All JobsData Engineer 1 JobsData Engineer 1 Jobs in Indiana

Data Engineer 1 information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do data engineer 1 jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data engineer 1 in Indiana is $123,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $130,800.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer 1 vs Data Engineer 2?

AspectData Engineer 1Data Engineer 2
Required CredentialsBachelor's degree in CS, IT, or related field; some experience with SQL, Python, and cloud platformsSimilar credentials, often with 1-3 years of experience and additional certifications
Work EnvironmentEntry-level role, often in team-based projects, supporting data pipelines and infrastructureMid-level role with increased responsibilities, handling complex data systems and optimization
Employer & Industry UsageCommon in tech, finance, healthcare, and retail industriesSimilar industries, with a focus on scaling data solutions and performance

Data Engineer 1 typically represents an entry-level position focused on supporting data infrastructure, while Data Engineer 2 involves more responsibility and experience. Both roles share similar credentials and industry usage, but Data Engineer 2 handles more complex tasks and system optimization.

What is a data engineer?

A Data Engineer is a professional responsible for designing, building, and maintaining systems and infrastructure that collect, store, and process large volumes of data. They develop data pipelines, ensure data quality and integrity, and optimize data workflows for analytics and business intelligence. Data Engineers work closely with data scientists, analysts, and other stakeholders to make data accessible, reliable, and usable for various organizational needs.

What are some common challenges faced by entry-level data engineers, and how can they be addressed?

Entry-level Data Engineers often encounter challenges such as managing large volumes of data, learning new data pipeline tools, and adapting to evolving data architectures. Collaborating effectively with data scientists and analysts can also be challenging due to differing technical backgrounds and priorities. To overcome these, it's helpful to seek mentorship from experienced team members, proactively ask questions, and regularly participate in code reviews. Familiarizing yourself with the company's data infrastructure and staying updated on best practices can also ease the transition into the role.

What are the key skills and qualifications needed to thrive as a data engineer 1, and why are they important?

To thrive as a Data Engineer 1, you need a solid understanding of database management, SQL, data modeling, and a bachelor's degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, and big data frameworks such as Hadoop or Spark is typically required. Strong problem-solving skills, attention to detail, and effective communication help you work efficiently with teams and handle complex data challenges. These skills and qualities are crucial for building reliable data pipelines and supporting data-driven decision making within organizations.

What are popular job titles related to Data Engineer 1 jobs in Indiana?

For Data Engineer 1 jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Engineer 1 jobs in Indiana look for?

The top searched job categories for Data Engineer 1 jobs in Indiana are:

Data Engineer 1 jobs near you
Infographic showing various Data Engineer 1 job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

Fabric Data Engineer

Lasting Change, Inc

Fort Wayne, IN • On-site

$104K - $125K/yr

Full-time

Re-posted 15 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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