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Data Engineer Jobs in Bloomington, IN (NOW HIRING)

Amentum

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

Collaborate with scientists, engineers, analysts, and cross-functional teams to optimize data workflows and integrate solutions into existing systems. * Gather requirements from stakeholders and ...

Pae

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

Collaborate with scientists, engineers, analysts, and cross-functional teams to optimize data workflows and integrate solutions into existing systems. * Gather requirements from stakeholders and ...

Accelint

Senior Data Analyst

Bloomington, IN · On-site

$99K - $124K/yr

Solutions are designed by operators who understand the mission, engineered for the conditions that ... Senior Data Analyst * Full Time * Hybrid The Sr. Data Analyst serves as a recognized subject matter ...

SAIC

Data Analyst

Bedford, IN · Remote

Collaborate with government data stewards, data engineers, and IT personnel to ensure data pipelines and storage solutions meet government analytical requirements * Ensure all data handling, storage ...

SAIC

Data Analyst

Bedford, IN · On-site

Collaborate with government data stewards, data engineers, and IT personnel to ensure data pipelines and storage solutions meet government analytical requirements * Ensure all data handling, storage ...

SAIC

Data Analyst

Bedford, IN · On-site

Collaborate with government data stewards, data engineers, and IT personnel to ensure data pipelines and storage solutions meet government analytical requirements * Ensure all data handling, storage ...

SAIC

Data Analyst with Security Clearance

Bedford, IN · On-site

Collaborate with government data stewards, data engineers, and IT personnel to ensure data pipelines and storage solutions meet government analytical requirements * Ensure all data handling, storage ...

Amatriot Group, LLC

Data Scientist

Crane, IN

$80K - $95K/yr

Develop and implement data models in various formats to support the growth of NICS toolsets and the ... Support LXN with engineering services as required. Travel and On-Site Support * Travel is expected ...

JCD Staffing

UI/UX SME

Crane, IN · On-site +1

$185K/yr

Collaborate with data engineers, systems engineers, software developers, and stakeholders to integrate data and system architectures * Support data science initiatives through visualization ...

SAIC

Electrical Engineer

Crane, IN · Hybrid

Engineering and Sciences Subcategory: Electrical Engr Schedule: Full-Time Shift: Day Job Travel: No ... Ability to analyze data and make informed decisions * Strong problem-solving and decision-making ...

SAIC

Cellular Engineer

Crane, IN

Analyze system and test data and develop technical recommendations to improve performance ... Strong programming skills in C, C++, and Python. * Experience developing, executing, or supporting ...

SAIC

Cellular Engineer

Crane, IN · On-site

Analyze system and test data and develop technical recommendations to improve performance ... Strong programming skills in C, C++, and Python. * Experience developing, executing, or supporting ...

SAIC

Electrical Engineer

Crane, IN · On-site

Engineering and Sciences Subcategory: Electrical Engr Schedule: Full-Time Shift: Day Job Travel: No ... Ability to analyze data and make informed decisions * Strong problem-solving and decision-making ...

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All JobsData Engineer JobsData Engineer Jobs in Bloomington, IN

Data Engineer information

See Bloomington, IN salary details

$41.2K

$120K

$164.2K

How much do data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data engineer in Bloomington, IN is $119,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $127,200.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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 a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Bloomington, IN?

The most popular types of Data Engineer jobs in Bloomington, IN are:

What are popular job titles related to Data Engineer jobs in Bloomington, IN?

For Data Engineer jobs in Bloomington, IN, the most frequently searched job titles are:

What cities near Bloomington, IN are hiring for Data Engineer jobs?

Cities near Bloomington, IN with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Bloomington, IN as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $119,988 per year, or $57.7 per hour.

Lead Data Engineer (Data Engineer)

Indiana University

Bloomington, IN • On-site

$105K - $127K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 22 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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