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Data Engineer Project Jobs in Indiana (NOW HIRING)

Data Strategy-Manager

Indianapolis, IN · On-site

$99K - $232K/yr

Take ownership of projects, ensuring their successful planning, budgeting, execution, and ... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ...

Project Manager - Data

Indianapolis, IN · On-site

$49 - $66.50/hr

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data ... Purposeful Projects - Improve systems that serve real people by delivering smarter data ...

Data Platform Engineer (Data 360) We are looking for a Data Platform Engineer to help us support ... They provide collaborative execution and clear communication to project and client team members in ...

Take ownership of projects, ensuring their successful planning, budgeting, execution, and ... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ...

Project Engineer

Indianapolis, IN · On-site

$100 - $140/hr

The Project Engineer leads the integration ofengineering disciplines--including Structures ... aircraft manufacturer data and engineering best practices. * Interface with Structures ...

$90 - $120/hr

The Project Engineer leads the integration ofengineering disciplines--including Structures ... aircraft manufacturer data and engineering best practices. * Interface with Structures ...

Showing results 41-60

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 cities in Indiana are hiring for Data Engineer Project jobs?

Cities in Indiana with the most Data Engineer Project job openings:

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.

Azure Data Engineer at CSpring Indianapolis, IN

Fairweather, LLC

Indianapolis, IN • On-site

$95 - $135/hr

Other

Posted 11 days ago


Job description

Azure Data Engineer job at CSpring. Indianapolis, IN.

Indianapolis, INDescriptionAt CSpring, we believe in the power of data to drive decisions and real-world impact. We’re a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results. We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here.

Why You’ll Love Working Here
  • Purposeful Projects – Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.
  • People-First Culture – We’re as committed to your growth as we are to delivering high-impact solutions. You’ll find support, autonomy, and community here.
  • Strategic, Hands-On Work – From data architecture and documentation to client workshops and solution delivery, you’ll influence every step of the process.
  • Collaborative Trust – Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.
What You’ll Do
  • You’ll design, build, and support cloud data solutions on the Microsoft Azure stack for client engagements across government and healthcare.
  • Build and orchestrate data pipelines in Azure Data Factory, moving data from source systems into curated, analytics-ready layers.
  • Develop transformation logic in SQL, Python, or PySpark, and tune it so it holds up as data volumes grow.
  • Design and maintain data models — dimensional, relational, or lakehouse — that make sense to the analysts and reporting teams who depend on them.
  • Work in Azure Synapse, Databricks, Azure SQL, and Azure Data Lake Storage Gen2 to build storage and compute patterns that fit the client's scale and budget.
  • Implement data quality checks, validation rules, and reconciliation so problems surface before a stakeholder finds them.
  • Build monitoring, alerting, and error handling into pipelines from the start, and respond when something breaks in production.
  • Manage code and deployments through Git and Azure DevOps, including CI/CD pipelines across development, test, and production environments.
  • Partner with client analysts, program staff, and technical leads to translate business questions into data requirements you can build against.
  • Document architecture, data lineage, and operational runbooks so the work is supportable after you hand it off.
  • Follow client security, privacy, and compliance requirements in how you access, move, and store sensitive data.
Requirements
  • 3+ years of hands-on data engineering experience, including 2+ years building on Azure.
  • Strong SQL — complex joins, window functions, stored procedures, and query performance tuning.
  • Practical experience with Azure Data Factory, including pipeline design, triggers, parameterization, and error handling.
  • Working experience with at least one of Azure Synapse Analytics, Databricks, or Azure SQL.
  • Python or PySpark for data transformation and automation.
  • Experience with data modeling and warehouse design concepts, including dimensional modeling.
  • Familiarity with Azure Data Lake Storage Gen2 and how to organize raw, curated, and consumption layers.
  • Version control and deployment discipline using Git and Azure DevOps.
  • Clear communication with non-technical stakeholders — you can explain what you built and why it matters.
  • Bachelor's degree or equivalent hands-on experience.
Preferred Qualifications
  • Prior consulting or client-facing delivery experience.
  • Power BI or supporting downstream reporting and analytics teams.
  • Microsoft Azure certification (DP-203 or equivalent).
  • Experience with data governance tooling such as Microsoft Purview.
Come Build With Us

At CSpring, we unlock the potential of people and data. If you're ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment—

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