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Data Engineer Project Jobs in Indiana (NOW HIRING)

Blue & Co.

Healthcare Data Engineer

Indianapolis, IN · On-site

$110 - $170/hr

... project execution. Technical Requirements * Experience designing and implementing cloud‑based ... Bachelor's degree in Computer Science, Data Engineering, Information Systems , or a related ...

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 ... Attends and contributes to architecture meetings to determine project scope, time frame, and cost ...

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 ... Attends and contributes to architecture meetings to determine project scope, time frame, and cost ...

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All JobsData Engineer Project JobsData Engineer Project Jobs in Indiana

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 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 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.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

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:

Data Engineer Project jobs near you
Infographic showing various Data Engineer Project job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Junior Data Engineer

Knowledge Services

Indianapolis, IN • On-site

Full-time

Posted 13 days ago

Job description

Overview
Knowledge Services is currently seeking a Junior Data Engineer for a contact to hire role supporting the State of Indiana. Applicants must currently be local to Indianapolis and able to interview in-person.
Work Location: Downtown Indianapolis - Hybrid work model - 3 days onsite / 2 days remote
Responsibilities
The Junior Data Engineer Responsibilities:
• Support data related projects for the State of Indiana.
Qualifications
Junior Data Engineer Qualifications include:
• 0-2 years total experience. New graduates are acceptable with strong internship/coop experience
• Top skills include experience with Python, SQL, ETL, and data cleansing
• Python: data & analytics experience (transformations, dataframes, scripting)
• SQL: solid fundamentals
• ETL experience (any ETL tool); enterprise ETL experience is a plus (WhereScape preferred)
• Familiarity with command line/Linux and version control (Git)
• Candidates should be curious, thorough, and comfortable working with imperfect/dirty data
Nice-to-Have
• Experience with WhereScape or similar enterprise ETL tools..
• Hands-on experience cleaning and transforming messy/real-world data sets.
Knowledge Services is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the application or hiring process, please contact TalentHR@knowledgeservices.com.
Knowledge Services is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. Knowledge Services does not discriminate on the basis of disability, veteran status or any other basis protected under federal, state or local laws. People with disabilities, veterans, and military families are encouraged to apply.
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