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Ai Data Engineer Jobs in Indiana (NOW HIRING)

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers ... Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN

$109K - $131K/yr

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers ... Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for ...

GMV

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 ... AI, Google AI, etc.), and big data architectures to respond to the needs of a society that is ...

Milliman

Data Engineer (MedInsight)

Indianapolis, IN · On-site +1

$93K - $177K/yr

Familiarity with AI-assisted development tools, such as Claude Code. * Experience working with ... payer data. * Experience mentoring junior engineers or providing technical guidance on projects.

Allegion

Lead Platform Data Engineer

Carmel, IN · On-site

AI-Ready Infrastructure: Design high-performance data flows and transformation layers that surface ... Platform Engineering & Integration * System Interoperability: Lead the integration of platform ...

Pwc

Data Engineer - Manager

Indianapolis, IN · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Pwc

Data Engineer - Senior Manager

Indianapolis, IN · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Allegion

Lead Platform Data Engineer

Carmel, IN · On-site

AI-Ready Infrastructure: Design high-performance data flows and transformation layers that surface ... Platform Engineering & Integration * System Interoperability: Lead the integration of platform ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

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All JobsAi Data Engineer JobsAi Data Engineer Jobs in Indiana

Ai Data Engineer information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do ai data engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for ai data engineer 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 are the key skills and qualifications needed to thrive in the Ai Data Engineer position, and why are they important?

To thrive as an AI Data Engineer, you need strong proficiency in programming (Python, SQL), data architecture, and machine learning fundamentals, typically supported by a degree in computer science, engineering, or a related field. Experience with big data tools (Spark, Hadoop), cloud platforms (AWS, Azure, GCP), and certifications like Google Professional Data Engineer are highly valuable. Excellent problem-solving skills, attention to detail, and effective team communication help distinguish top performers in this role. These abilities ensure the development of robust data pipelines and systems that power accurate AI solutions in a collaborative and rapidly-evolving environment.

What does an AI Data Engineer do?

An AI Data Engineer designs, builds, and manages data pipelines and infrastructure to support AI and machine learning models. They collect, process, and store large datasets, ensuring data is clean, structured, and accessible for AI applications. Their role involves working with big data tools, cloud platforms, and databases to optimize performance and scalability. Collaboration with data scientists and software engineers is essential to deploy and maintain AI solutions efficiently.

Will AI replace ETL?

AI Data Engineers design and implement data pipelines, and while AI can automate parts of the ETL (Extract, Transform, Load) process, it is unlikely to fully replace traditional ETL tools. Instead, AI enhances data integration by improving automation, data quality, and processing efficiency within existing workflows. Skills in data modeling, scripting, and familiarity with ETL tools remain essential for this role.

What are some common challenges an AI Data Engineer might face in their daily work?

AI Data Engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality and consistency, and building scalable data pipelines to handle large volumes of information. Working closely with data scientists and software engineers requires strong collaboration and flexibility to adapt to shifting project requirements or algorithms changes. Keeping up with the latest developments in big data and machine learning tech stacks is also crucial. Overcoming these challenges provides a dynamic work environment and offers valuable learning and career growth opportunities.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, machine learning director, or AI research lead, often involving advanced skills in deep learning, data modeling, and programming with tools like Python and TensorFlow. Such roles usually require extensive experience, specialized knowledge, and may include performance-based bonuses or equity components.

What does an AI data engineer do?

An AI data engineer designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence and machine learning models. They work with large datasets, ensure data quality, and use tools like SQL, Python, and cloud platforms to enable efficient data processing and model training.

What engineers make $500,000?

Senior AI Data Engineers with extensive experience, advanced skills in machine learning, data architecture, and cloud platforms can earn $500,000 or more annually, especially in high-demand industries or senior leadership roles. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.
What are the most commonly searched types of Ai Data Engineer jobs in Indiana? The most popular types of Ai Data Engineer jobs in Indiana are:
What are popular job titles related to Ai Data Engineer jobs in Indiana? For Ai Data Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Data Engineer jobs in Indiana look for? The top searched job categories for Ai Data Engineer jobs in Indiana are:
Ai Data Engineer jobs near you
Snowflake Data Engineer

Snowflake Data Engineer

Onebridge

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Posted 10 days ago

Job description

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Snowflake Data Engineer to join our innovative and dynamic team.

Snowflake Data Engineer | About You

As a Snowflake Data Engineer, you are responsible for transforming complex, raw data into trusted, authoritative sources that power analytics and business decisionmaking. You thrive in fastpaced, agile environments and enjoy designing scalable data solutions that integrate across cloud platforms. You bring strong expertise in Snowflake, Azure, SQL, and ETL development, and you're comfortable working across the full data lifecycle, from ingestion through analytics enablement. You collaborate effectively with technical and business stakeholders to deliver highquality, reliable data products. You also bring a strong passion for AIassisted development and modern vibe coding, actively leveraging intelligent tools to accelerate development, improve code quality, and explore innovative data engineering patterns.

Snowflake Data Engineer | Day-to-Day

  • Design, build, and maintain scalable, reliable data pipelines using Snowflake, Azure, and modern ETL frameworks.
  • Develop and optimize SQLbased transformations and data models that support enterprise reporting, analytics, and data products.
  • Partner with business, analytics, and engineering teams to create authoritative data sources that enable selfservice analytics and commercialization.
  • Support and enhance data integration processes, including modernization of legacy ingestion and transformation workflows.
  • Collaborate with BI and analytics teams to enable reporting and selfservice analytics using platforms such as Power BI or Sigma, ensuring data accuracy and accessibility.
  • Participate in Agile delivery practices using tools such as Jira and ServiceNow, contributing to planning, documentation, and continuous improvement.
  • Actively apply AIpowered coding tools and automation techniques to streamline development workflows, improve efficiency, and experiment with emerging capabilities.

Snowflake Data Engineer | Skills & Experience

  • 5+ years of experience in data engineering, data architecture, or a related technical discipline.
  • Strong handson experience with Snowflake, including data modeling, performance optimization, and largescale transformation workloads.
  • Required expertise in Azure, SQL, and ETL development, supporting cloudbased data platforms and integrations.
  • Experience designing, building, and maintaining enterprisegrade data pipelines and transformation frameworks.
  • Familiarity with Agile methodologies and tools such as Jira and ServiceNow.
  • Experience supporting analytics and reporting platforms such as Power BI or Sigma, with an understanding of selfservice analytics principles.
  • AIassisted development experience is required, including handson use of tools such as Claude Code, GPTbased assistants, Cursor, Kizer, or similar technologies to enhance productivity and innovation.
  • Experience working with healthcare or regulated industry data is a strong plus, including awareness of data quality, governance, and sensitivity considerations.

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