1

Data Engineer With Ai Jobs in Indiana (NOW HIRING)

Data Engineer

Austin, IN · On-site

$135K - $155K/yr

Data Engineering is a key role in the development team and is responsible for building and ... Proficiency in Python and modern AI/ML tooling and experience integrating with LLM APIs (Anthropic ...

Data Engineer IV

Indianapolis, IN · On-site

$69 - $71/hr

Data Engineer IV Location: Remote, USA Duration: Contract - 12 months Pay Range: $69/hr $71/hr (W2 ... Experience with generative AI, including prompt engineering, RAG, LLM APIs, or agent workflows.

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for ... Sigma, with an understanding of self-service analytics principles. * AI-assisted development ...

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for ... Sigma, with an understanding of self-service analytics principles. * AI-assisted development ...

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

... AI-assisted development workflows, and communicating clearly with business stakeholders to deliver ... Data Engineering & Pipeline Development * Design, implement, and manage ETL/ELT workflows within ...

Data Engineer - Senior

Indianapolis, IN · On-site

$109K - $131K/yr

Accelerate analytics delivery by designing scalable, efficient data pipelines with built-in ... Drive continuous improvement of data engineering solutions by leveraging AI/ML and LLM-based ...

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

... AI-assisted development workflows, and communicating clearly with business stakeholders to deliver ... Data Engineering & Pipeline Development * Design, implement, and manage ETL/ELT workflows within ...

Data Engineer - Senior

Indianapolis, IN · On-site

$109K - $131K/yr

Accelerate analytics delivery by designing scalable, efficient data pipelines with built-in ... Drive continuous improvement of data engineering solutions by leveraging AI/ML and LLM-based ...

Cloud Data Engineer

Indianapolis, IN

$109K - $131K/yr

At CSpring, we partner with public and private sector organizations to turn complex data into ... As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

At CSpring, we partner with public and private sector organizations to turn complex data into ... As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI ...

Cloud Data Engineer

Indianapolis, IN

$109K - $131K/yr

Description At CSpring, we partner with public and private sector organizations to turn complex ... As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

At CSpring, we partner with public and private sector organizations to turn complex data into ... As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI ...

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 ... Since 2005, we have partnered with some of the largest healthcare, life sciences, financial ...

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 ... Since 2005, we have partnered with some of the largest healthcare, life sciences, financial ...

With more than 30 brands, 12,000+ employees globally and products sold in 130 countries, we ... AI-Ready Infrastructure: Design high-performance data flows and transformation layers that surface ...

next page

Showing results 1-20

Data Engineer With Ai information

Will AI take data engineer jobs?

AI is transforming data engineering by automating tasks such as data processing, integration, and pipeline management, but it is unlikely to fully replace data engineers. Instead, it shifts the role toward managing AI tools, developing scalable data architectures, and ensuring data quality, requiring skills in programming, cloud platforms, and machine learning integration.

What is the difference between Data Engineer With Ai vs Data Engineer?

AspectData Engineer With AiData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI/ML toolsBachelor's in CS, Data Science, or related; strong SQL and programming skills
Work EnvironmentData teams, AI/ML projects, cloud platformsData pipelines, database management, cloud environments
Employer & Industry UsageTech companies, AI startups, data-driven organizationsFinance, healthcare, tech, and other industries
Common Search & Comparison IntentUnderstanding AI integration in data engineeringGeneral data engineering roles and skills

Data Engineer With Ai professionals focus on integrating AI and machine learning into data pipelines, requiring knowledge of AI tools and algorithms. Data Engineers primarily build and maintain data infrastructure. While both roles share foundational skills, Data Engineer With Ai emphasizes AI/ML integration, making it suitable for organizations leveraging AI-driven insights.

Which 3 jobs will survive AI?

Data engineers with AI expertise are likely to continue thriving as they develop and maintain data pipelines, integrate AI models, and work with large datasets. Roles that require complex problem-solving, domain-specific knowledge, and human judgment—such as AI specialists, cybersecurity analysts, and healthcare professionals—are also expected to persist despite AI advancements. These jobs often involve skills that are difficult for AI to fully replicate, such as critical thinking and interpersonal communication.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as AI executives, senior data scientists, or machine learning directors that offer compensation in this range. These positions often require advanced skills in AI, machine learning, and data engineering, along with extensive experience and leadership responsibilities.

What engineer makes 500,000 a year?

Highly experienced data engineers with specialized skills in AI, machine learning, and big data technologies can earn salaries approaching or exceeding $500,000 annually, especially in senior or leadership roles at large tech companies. Such compensation often includes bonuses, stock options, and other incentives, and typically requires advanced certifications and extensive industry experience.
What are popular job titles related to Data Engineer With Ai jobs in Indiana? For Data Engineer With Ai jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Engineer With Ai jobs in Indiana look for? The top searched job categories for Data Engineer With Ai jobs in Indiana are:
What cities in Indiana are hiring for Data Engineer With Ai jobs? Cities in Indiana with the most Data Engineer With Ai job openings:
Data Engineer

Data Engineer

inKind

Austin, IN • On-site

$135K - $155K/yr

Other

Medical, Dental, Vision, PTO

Posted 17 days ago


Job description


Job Title:
Data Engineer

Reports to: Senior Data Engineer

Role Summary:

Data Engineering is a key role in the development team and is responsible for building and maintaining the AI-ready data foundation that powers inKind's intelligent products, machine learning models, and large language model (LLM) applications. The position requires working across departments to build, operate, and optimize highly available data pipelines that feed analytics, ML training and inference, and retrieval-augmented generation (RAG) systems.

Responsibilities: 

  • Responsible for the design, deployment, and maintenance of the business's data and AI platforms
  • Own architectural processes and decisions for various data models within the organization, including schemas, vector stores, and knowledge bases that support AI and LLM use cases
  • Design and operate feature pipelines, embedding pipelines, and evaluation datasets that support machine learning model training, fine-tuning, and continuous evaluation
  • Work cross-functionally with various departments, including but not limited to: leadership, the development team, the finance team, and the data science team, in order to convert data into understandable information and AI-ready inputs for other professionals
  • Ensure implemented data and AI systems have relevant security, privacy, and data-governance controls - particularly around data flowing into and out of third-party LLM providers

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field. An equivalent of this educational requirement in working experience is also acceptable
  • 5+ years professional database development experience, preferably as a Data Engineer in a fast-paced environment and complex business setting
  • Expert level knowledge of SQL with focus on writing and optimizing queries
  • Demonstrated experience building and maintaining reliable and scalable ETL/ELT using Snowflake, dbt, and AWS architecture
  • Proficiency in Python and modern AI/ML tooling and experience integrating with LLM APIs (Anthropic, OpenAI, etc.)
  • Expert problem solving ability and maker's mentality; vast experience designing & architecting new features and solutions from scratch - especially those that blend traditional data systems with AI-powered components
  • Eagerness to discover innovative ways to work faster and more efficiently, including leveraging AI coding assistants and agents, while balancing competing concerns (tech debt, cost, security, complexity, etc.)
  • Proactive communication, both written and spoken, and excellent ability to work well with others, in-person and remotely
  • Courage when it comes to raising concerns and asking questions
  • Ability to stay up-to-date with new frameworks and tools - especially in the rapidly evolving AI/ML space - to speed up development, while keeping a sharp eye out for potential vulnerabilities and edge cases (including prompt injection and data leakage to third-party AI services)
Benefits & Perks at inKind

At inKind, we believe supporting our employees goes beyond compensation. We're committed to creating an environment where our team can thrive both professionally and personally.

Health & Wellness
  • 100% employer-paid medical coverage through Blue Cross Blue Shield for employees on our base healthcare plan
  • 100% employer-paid Dental PPO coverage for employees
  • Vision coverage available
  • Company-paid Short-Term Disability coverage
Time Away & Flexibility
  • Unlimited Paid Time Off
  • 9 paid company holidays annually
  • Generous parental leave and child care benefits
Growth & Development
  • Career development and training opportunities designed to support long-term professional growth
Food & Lifestyle Perks
  • Daily catered lunches and office snacks
  • Credits to dine within the inKind restaurant network
Workplace Environment
  • Collaborative, in-person culture based in Austin, Texas
  • Dog-friendly office environment with views of downtown Austin

Salary

$135,000 - $155,000, DOE