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Data Engineer Salary Jobs in Indiana (NOW HIRING)

Data Engineer

Austin, IN

$135K - $155K/yr

Data Engineering is a key role in the development team and is responsible for building and ... Salary : $135,000 - $155,000, DOE

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 ... You will be able to make part of your salary more flexible through our flexible salary plan where ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Job Posting End Date The salary range for this position is: $124,000 - $280,000. Actual ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... The salary range for this position is: $77,000 - $202,000. Actual compensation within the range ...

Senior Data Engineer

Indianapolis, IN · Hybrid

$101K - $137K/yr

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and ... The typical starting salary range for this role is determined by a number of factors including ...

Senior Data Engineer

Indianapolis, IN · Hybrid

$106K - $197K/yr

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and ... The typical starting salary range for this role is determined by a number of factors including ...

Senior Data Engineer

Indianapolis, IN · Hybrid

$101K - $137K/yr

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and ... The typical starting salary range for this role is determined by a number of factors including ...

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... The salary range for this position is: $77,000 - $202,000. Actual compensation within the range ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ... The salary range for this position is: $99,000 - $232,000. Actual compensation within the range ...

Data Governance- Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... The salary range for this position is: $99,000 - $232,000. Actual compensation within the range ...

Manager, Data Engineering

Whitestown, IN · On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data ... The base salary may vary within the anticipated base pay range based on factors such as the ...

Manager, Data Engineering

Westfield, IN · On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data ... The base salary may vary within the anticipated base pay range based on factors such as the ...

Manager, Data Engineering

Cicero, IN · On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data ... The base salary may vary within the anticipated base pay range based on factors such as the ...

Manager, Data Engineering

Sheridan, IN · On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data ... The base salary may vary within the anticipated base pay range based on factors such as the ...

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Data Engineer Salary information

What is the average salary of a data engineer?

The average salary of a Data Engineer varies depending on experience, location, and industry, but in the United States, it typically ranges from $90,000 to $140,000 per year. Entry-level positions may start around $80,000, while experienced data engineers or those in tech hubs like San Francisco or New York can earn upwards of $150,000 or more. Factors such as certifications, advanced degrees, and specialized skills in big data technologies can also influence salary.

What is the difference between Data Engineer Salary vs Data Scientist Salary?

AspectData Engineer SalaryData Scientist Salary
Required CredentialsBachelor's in CS, Engineering, or related field; experience with SQL, Python, ETL toolsBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, machine learning
Work EnvironmentData pipelines, database management, cloud platformsData analysis, modeling, predictive analytics
Employer & Industry UsageTech companies, finance, healthcare, retailTech firms, research institutions, finance, marketing

While both roles require strong technical skills and familiarity with data tools, Data Engineers focus on building and maintaining data infrastructure, earning a median salary typically slightly lower than Data Scientists, who analyze data to generate insights and predictive models. Salary differences depend on experience, location, and industry.

What are some common challenges data engineers face when working with large-scale data systems?

Data Engineers often encounter challenges related to the scalability and reliability of data pipelines, especially as data volume and variety increase. Ensuring data quality, minimizing downtime, and managing evolving data schemas are frequent hurdles. Additionally, collaborating with data scientists and analysts to understand their requirements and deliver timely, usable datasets can be complex. Staying updated with rapidly changing technologies and best practices is also essential for long-term success in this role.

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 data modeling, ETL (extract, transform, load) processes, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with database systems (SQL/NoSQL), cloud platforms (AWS, Azure, GCP), and data pipeline tools (Apache Spark, Kafka) is typically required, with certifications in these areas being advantageous. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with cross-functional teams and troubleshooting complex data issues. These skills ensure reliable data infrastructure, support business intelligence, and enable scalable data-driven decision-making.

Is a data engineer a high paying job?

Data engineers typically earn high salaries due to their expertise in designing and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Compensation varies by experience, location, and industry, but it is generally considered a well-paying role in the tech field.
What job categories do people searching Data Engineer Salary jobs in Indiana look for? The top searched job categories for Data Engineer Salary jobs in Indiana are:
What cities in Indiana are hiring for Data Engineer Salary jobs? Cities in Indiana with the most Data Engineer Salary job openings:

$135K - $155K/yr

Other

Medical, Dental, Vision, PTO

Re-posted 8 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, DOEÂ