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Senior Big Data Engineer Jobs in Indiana (NOW HIRING)

Data Engineer

Austin, IN · On-site

$135K - $155K/yr

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 ...

Senior MES Engineer

Fishers, IN

$97K - $134K/yr

Senior MES Engineer Summary INCOG BioPharma is seeking a highly motivated individual with subject ... Leverage big data tools and analytics platforms to aggregate, analyze, and visualize manufacturing ...

Data Strategy-Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... with big data engineering tools - Proficiency in SQL and data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel ...

Senior MES Engineer

Fishers, IN · On-site

$94K - $129K/yr

Senior MES Engineer Summary INCOG BioPharma is seeking a highly motivated individual with subject ... · Leverage big data tools and analytics platforms to aggregate, analyze, and visualize ...

Senior MES Engineer

Fishers, IN · On-site

$97K - $134K/yr

Description Senior MES Engineer Summary INCOG BioPharma is seeking a highly motivated individual ... • Leverage big data tools and analytics platforms to aggregate, analyze, and visualize ...

Senior MES Engineer

Fishers, IN

$94K - $129K/yr

Senior MES Engineer Summary INCOG BioPharma is seeking a highly motivated individual with subject ... · Leverage big data tools and analytics platforms to aggregate, analyze, and visualize ...

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

... and engineers to improve efficiency and data organization; improve performance through data ... Work with senior data analyst to establish data governance Non-Essential Duties and ...

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135K/yr

... and engineers to improve efficiency and data organization; improve performance through data ... Work with senior data analyst to establish data governance Non-Essential Duties and ...

AWS Data Engineer Databricks

Indianapolis, IN · On-site

$109K - $131K/yr

Senior AWS Data Engineer Location: Indianapolis, IN Role Overview We are seeking a highly skilled AWS Data Engineer to support a strategic STRADA Modernization initiative . This role focuses on ...

Data Scientist

Indianapolis, IN · On-site

$110 - $170/hr

Access, prepare, and engineer features from data processed through Apache Spark and AWS data ... Strong experience with Big Data processing using Apache Spark, PySpark. * Experience building ETL ...

Posted today

Data Architect

Anderson, IN · On-site +1

$55.25 - $71/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/yr

At SEP, we're building that foundation - and we're looking for a Senior Data Engineer who's ready to lead the way. We've been partnering with companies to build software that matters since 1988. From ...

At SEP, we're building that foundation -- and we're looking for a Senior Data Engineer who's ready to lead the way. We've been partnering with companies to build software that matters since 1988.

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/yr

At SEP, we're building that foundation - and we're looking for a Senior Data Engineer who's ready to lead the way. We've been partnering with companies to build software that matters since 1988. From ...

ETL/Data Engineer

Indianapolis, IN

$107K - $129K/yr

Vergence is seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines ...

Showing results 21-40

Senior Big Data Engineer information

See Indiana salary details

$15

$59

$83

How much do senior big data engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for senior big data engineer in Indiana is $59.93, according to ZipRecruiter salary data. Most workers in this role earn between $51.01 and $67.50 per hour, depending on experience, location, and employer.

What is the difference between Senior Big Data Engineer vs Data Architect?

AspectSenior Big Data EngineerData Architect
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with Hadoop, SparkBachelor's/Master's in CS, Data Science, or related; certifications like TOGAF, cloud architecture
Work EnvironmentDevelops, implements, and maintains data pipelines and systemsDesigns overall data infrastructure and architecture strategy
Employer & Industry UsageTech companies, finance, healthcare, retailLarge enterprises, consulting firms, cloud providers
Search & Comparison IntentUnderstanding technical roles, skills, and responsibilitiesFocus on data system design and strategic planning

While both roles work with data systems, a Senior Big Data Engineer primarily develops and maintains data pipelines and systems, whereas a Data Architect designs the overarching data infrastructure and strategy. The roles often collaborate but differ in scope and focus within data management.

How does a senior big data engineer collaborate with data scientists and business stakeholders?

As a Senior Big Data Engineer, you'll frequently work alongside data scientists to design and maintain data pipelines that ensure reliable and accessible data for modeling and analytics. Collaboration with business stakeholders is also essential, as you'll help translate business requirements into technical data solutions, ensuring that data architecture supports organizational goals. Regular meetings, code reviews, and cross-team project planning are common, making strong communication and a collaborative mindset vital for success in this role.

What skills and qualifications are needed to be a senior big data engineer?

To thrive as a Senior Big Data Engineer, you need advanced expertise in data architecture, distributed computing, and programming languages such as Java, Scala, or Python, typically backed by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms, as well as relevant certifications (e.g., Cloudera, AWS), is highly valuable. Strong problem-solving, communication, and leadership skills set outstanding candidates apart, especially when collaborating with cross-functional teams. These competencies are critical for designing scalable data solutions, ensuring data quality, and driving impactful business insights.

What is a senior big data engineer?

Senior Big Data Engineers are advanced-level professionals who design, build, and maintain large-scale data processing systems. They work with technologies such as Hadoop, Spark, and NoSQL databases to handle massive amounts of data efficiently. Their responsibilities often include optimizing data pipelines, ensuring data quality, and collaborating with data scientists and analysts to support business needs. Senior Big Data Engineers also mentor junior team members and help drive architectural decisions related to data infrastructure.
What are the most commonly searched types of Big Data Engineer jobs in Indiana? The most popular types of Big Data Engineer jobs in Indiana are:
What are popular job titles related to Senior Big Data Engineer jobs in Indiana? For Senior Big Data Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Senior Big Data Engineer jobs in Indiana look for? The top searched job categories for Senior Big Data Engineer jobs in Indiana are:
What cities in Indiana are hiring for Senior Big Data Engineer jobs? Cities in Indiana with the most Senior Big Data Engineer job openings:
Infographic showing various Senior Big Data Engineer job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $124,655 per year, or $59.9 per hour.

$109K - $131K/yr

Full-time

Re-posted 9 days ago


Job description

Location: Onsite (Preferred)
Employment Type: Direct Hire
Overview:

We are seeking a highly skilled Data Engineer/Developer to join a growing team focused on building scalable, efficient data solutions. This role is ideal for someone who thrives in a modern data stack environment and takes a pragmatic, problem-solving approach to development. The ideal candidate is not just a coder, but an efficiency-focused engineer; someone who builds reusable components, leverages existing code, and avoids unnecessary reinvention.

Key Responsibilities:
  • Design, develop, and maintain data pipelines and workflows using modern tools and frameworks
  • Write and optimize complex code using Python and SQL
  • Build and manage data transformations using DBT and/or SQLMesh
  • Develop solutions within Databricks to support scalable data processing
  • Implement and support CI/CD pipelines for data workflows
  • Create reusable, modular code to improve development efficiency and scalability
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions
  • Troubleshoot and optimize performance across data systems

Required Qualifications:
  • 3-7+ years of experience in data engineering or data development
  • Strong hands-on experience with:
    • Databricks
    • Python
    • SQL
  • Experience with DBT and/or SQLMesh
  • Familiarity with CI/CD practices in a data environment
  • Proven ability to write clean, scalable, and efficient code
  • Strong problem-solving skills and the ability to work independently
Preferred Qualifications:
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Familiarity with data warehousing and lakehouse architectures
  • Experience building modular or reusable code frameworks
  • Exposure to Agile development environments