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Data Engineer Project Jobs in Indiana (NOW HIRING)

Data Engineer

Carmel, IN · On-site

$110K - $120K/yr

Data Engineers build data pipelines that transform raw, unstructured data into formats that can be ... Ability to communicate with business stakeholders on status of projects/issues. * Ability to ...

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

Data Engineer Build a Career That Matters with One of the World's Most Respected Employers ... Innovation-Driven : Work on projects that matter-from sustainable materials to digital ...

New

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

Data Engineer Build a Career That Matters with One of the World's Most Respected Employers ... Innovation-Driven : Work on projects that matter-from sustainable materials to digital ...

Databricks Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ... Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast ...

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

... and engineers to improve efficiency and data organization; improve performance through data ... projects An analytical mind and inclination for problem-solving Strong verbal and written ...

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135K/yr

... and engineers to improve efficiency and data organization; improve performance through data ... projects An analytical mind and inclination for problem-solving Strong verbal and written ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

You will interact with our clients and project teams, leverage your business and technical skills ... CSpring Data Engineers are responsible for engaging in the design, development and maintenance of ...

Data Engineer II

Fort Wayne, IN · On-site

$113K - $135K/yr

Data Engineer II FLSA Status: Exempt Job Family: IT - Business Intelligence Department: IT - Busin ... Complete other duties and projects as assigned. KNOWLEDGE, SKILLS, AND ABILITIES The requirements ...

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

We are an engineering and innovation company working in different areas. Within the IT sector we ... You will be part of our Big Data team whose mission is to participate in projects of design and ...

Sr Databricks Data Engineer

Indianapolis, IN

$109K - $131K/yr

Lead, coach, and develop teams of data engineers and architects, fostering technical growth and effective project delivery. Data Governance: Consult on, design, and implement governance, security ...

Data Engineer II

Fort Wayne, IN · On-site

$113K - $135K/yr

Data Engineer II FLSA Status: Exempt Job Family: IT - Business Intelligence Department: IT - Busin ... Complete other duties and projects as assigned. KNOWLEDGE, SKILLS, AND ABILITIES The requirements ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Understand the broader objectives of your project or role and how your work fits into the overall ...

Data Engineer III

Indianapolis, IN · Remote

$62 - $68/hr

Data Engineer III Location: Remote, USA Duration: Contract - 6 months Pay Range: $62/hr $68/hr (W2 ... Collaborate with data architects, data modelers, and IT teams to meet project goals. Implement ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Take ownership of projects, ensuring their successful planning, budgeting, execution, and ...

You are accountable for confirming project success and maintaining standards. Enhancing your ... data engineering capabilities - Leading teams in the strategic planning and execution of data ...

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Showing results 1-20

Data Engineer Project information

What is a Data Engineer Project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by Data Engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.
What are popular job titles related to Data Engineer Project jobs in Indiana? For Data Engineer Project jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Engineer Project jobs in Indiana look for? The top searched job categories for Data Engineer Project jobs in Indiana are:
What cities in Indiana are hiring for Data Engineer Project jobs? Cities in Indiana with the most Data Engineer Project job openings:
Lead Data Engineer (Data Engineer)

Lead Data Engineer (Data Engineer)

Indiana University

Bloomington, IN • On-site

$105K - $127K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 27 days ago


Job description

The Kelley School of Business at Indiana University (IU) is a comprehensive provider of top-tier business education with a full portfolio of undergraduate, graduate, doctoral, and executive programs on campuses in Bloomington and Indianapolis, and online worldwide. The Kelley School has been creating career momentum for 100 years, going from 70 students in 1920 to an enrollment of more than 15,000 students today. Our innovative curriculum is built on personal development, teamwork, and experiential learning with an emphasis on global and social responsibility. Our success is reflected in our reputation among academic peers, our career placement statistics, and the accomplishments of more than 137,000 living alumni around the globe.
Job Summary
  • Performs advanced data management tasks, including complex data modeling, conversion, de-duplication, migration, and identification and repair of data quality issues.
  • Designs, develops, and implements complex custom data systems and advanced reconciliation tools, processes, rules, solutions etc. to validate data, match/merge, and upload batch lists.
  • Creates and tunes highly complex stored procedures and queries for advanced data management and extraction.
  • May contribute to committees and communities of practice to share and improve data engineering practices across the university; provides a high level of consultation and mentoring to other groups and staff on the use of data engineering tools and software.
  • Makes recommendations to improve, as well as implements, documentation and security protocols and procedures for data engineering projects and/or activities; fixes complex problems and resolves issues accordingly.
  • Provides advanced troubleshooting and problem analysis/resolution for data related issues; acts as a point of escalation for junior team members; performs advanced scripting and modifications of application and products for corrective action.
  • Performs advanced-level research and stays up-to-date with data engineering best practices and approaches; stays abreast of latest security threats and risks to proactively address potential exposures.
  • May serve as project lead; often provides guidance to junior peers.
Qualifications
Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education.
EDUCATION
Required
  • Bachelor's degree (preferably in computer science, information science, or related field.)
WORK EXPERIENCE
Required
  • 5 years data management, engineering, or related experience.
SKILLS
Required
  • Proficient communication skills.
  • Maintains a high degree of professionalism.
  • Demonstrates time management and priority setting skills.
  • Demonstrates a high commitment to quality.
  • Possesses flexibility to work in a fast paced, dynamic environment.
  • Seeks to acquire knowledge in area of specialty.
  • Highly thorough and dependable.
  • Demonstrates a high level of accuracy, even under pressure.
  • Possesses a high degree of initiative.
  • Ability to influence internal and/or external constituents.
Preferred
  • Familiarity with conventional machine learning models and processes, including classification, clustering, and retrieval.
  • Demonstrated experience integrating AI/LLM models (e.g., LLaMA via Ollama, OpenAI, Claude, or Amazon Bedrock) into enterprise platforms and services.
  • Ability to process data and engineer features for downstream model integrations.
  • Experience with prompt engineering, inference pipelines, and APIs for deploying AI agents at scale.
  • Experience with fine-tuning and/or supervising model adaptation to domain-specific data and use cases.
  • Experience with agentic frameworks such as Langgraph, Diffy, or related technologies.
  • Knowledge on tracking data and model lineages including the ability to ensure security and compliance of the deployed models to comply with appropriate governance, to manage role-based access to services, and to apply data masking where necessary.
  • Ensuring security and compliance of the deployed models to comply with appropriate governance, managing role-based access to services, and applying data masking where necessary.
  • Experience building or consuming data virtualization layers to abstract complex enterprise data systems for AI consumption.
  • Strong understanding of modern data architectures (data lakes, lakehouses, vector stores) and API-first approaches to data access and transformation.
  • Familiarity with vector databases (e.g., Marqo, Milvus, Pinecone) and embedding models for semantic search and retrieval-augmented generation (RAG).
  • Proficiency in building and maintaining RESTful APIs that interface with internal systems, enabling AI-enhanced features in existing applications.
  • Experience with cloud services (Azure, AWS), containerized deployments (e.g., Docker), and CI/CD workflows.
  • Comfort working with both in-house developed tools and open-source AI/ML infrastructure.
  • Openness to hybrid .NET and Python ecosystems to support the evolving needs of our AI integration efforts.
  • Passion for supporting digital transformation through AI education and enablement across diverse stakeholder groups, including non-technical faculty and staff.
  • Demonstrated ability to explain complex technical concepts to a wide range of audiences, and a commitment to building reusable resources, guides, and documentation.
  • Strong curiosity, experimental mindset, and a desire to shape the future of AI in higher education.
  • Interest in bridging research, teaching, and operations with intelligent systems and modern data practices.
  • Ability to work iteratively in a fast-moving environment where priorities evolve as innovation unfolds.
Working Conditions / Demands
This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation.
Additional Information
This position is on a 3-year limited term appointment.
Work Location
This position is eligible for remote work or to work a hybrid schedule (mix between remote and in-person work), subject to change in the future based on university policy and business needs.
Benefits Overview
For full-time staff employees, Indiana University offers a wide array of benefits including:
  • Comprehensive medical and dental insurance
  • Health savings account with generous IU contributions
  • Healthcare and dependent care flexible spending accounts
  • Basic group life insurance paid by IU
  • Voluntary supplemental life, long-term disability, critical illness, and supplemental accidental death & dismemberment insurance
  • Base retirement plan with generous IU contributions, subject to vesting
  • Voluntary supplemental retirement plan options
  • Tuition subsidy for employees and family members taking IU courses
  • 10 paid holidays plus a paid winter break each year
  • Generous paid time off plans
  • Paid leave for new parents and IU-sponsored volunteer events
  • Employee assistance program (EAP)
Learn more about our benefits by reviewing the IU Benefit Programs Brochure .
Job Classification
Career Level: Advanced
FLSA: Exempt
Job Function: Information Technology
Job Family: Data Analysis & Engineering
Click here to learn more about Indiana University's Job Framework.
Posting Disclaimer
This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date.
If you wish to include a cover letter, you may include it with your resume when uploading attachments.
Equal Employment Opportunity
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information .
Campus Safety and Security
The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online . You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by visiting IUPD.
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