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Senior Big Data Engineer Jobs in Indiana (NOW HIRING)

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$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 ...

Cummins Inc.

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

Knowledge of the latest technologies and trends in data engineering are highly preferred and ... Big Data platform using open source and third-party tools - SPARK, Scala/Java, Map-Reduce, Hive ...

Cummins

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

Knowledge of the latest technologies and trends in data engineering are highly preferred and ... Big Data platform using open source and third-party tools - SPARK, Scala/Java, Map-Reduce, Hive ...

Cummins Inc.

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

Knowledge of the latest technologies and trends in data engineering are highly preferred and ... Big Data platform using open source and third-party tools - SPARK, Scala/Java, Map-Reduce, Hive ...

Cummins

Data Architect

Indianapolis, IN · On-site +1

$123K - $150K/yr

Programming - Write clean, well-documented, and testable code using best practices. Leverage ... Big Data platform using open source and third-party tools - SPARK, Scala/Java, Map-Reduce, Hive ...

Circle K

Senior Manager Data Architecture

Columbus, IN · On-site

$62.50 - $83.75/hr

Sr. Manager, Data Architecture About Circle K Circle K is a global leader in convenience and fuel ... Join our Global Data Engineering, Architecture and Enablement team and help build the foundation ...

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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 11, 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:
Senior Big Data Engineer jobs near you
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.

Senior Data Engineer - Databricks (No Sponsorship Available)

Heritage Construction + Materials

Indianapolis, IN • On-site

$101K - $137K/yr

Full-time

Posted 12 days ago

Job description

Build Your Career at Heritage Construction + Materials!


The Senior Data Engineer will help develop and implement strategic data initiatives. They will be responsible for developing and maintaining data pipelines, promoting sustainable data governance, and serving as the organization's cloud data platform expert.
Essential Functions

  • Develop and support data pipelines within a Cloud Data Platform, such as Databricks or Snowflake
  • Monitor and optimize Databricks cluster performance, ensuring cost-effective scaling and resource utilization
  • Implement and maintain Delta Lake for optimized data storage, ensuring data reliability, performance, and versioning
  • Automate CI/CD pipelines for data workflows using Azure DevOps
  • Integrate Databricks with other Azure services, such as Azure Data Factory, Azure Synapse, and ADLS
  • Design and implement monitoring solutions, leveraging Databricks monitoring tools, Azure Log Analytics, or custom dashboards for cluster and job performance
  • Collaborate with cross-functional teams to support data governance through the use of Databricks Unity Catalog
  • Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company's core values, competencies, and skills.

Education Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field


Experience Qualifications

  • 5+ years of experience in data engineering or a related field
  • Expertise with programming languages such as Python/PySpark, SQL, or Scala
  • Experience working in a cloud environment (Azure preferred) with strong understanding of cloud data architecture
  • Hands-on experience with Databricks or Snowflake Cloud Data Platforms
  • Experience with workflow orchestration (e.g., Databricks Jobs, or Azure Data Factory pipelines)


Skills and Abilities

  • Strong analytical and problem-solving skills
  • Experience with programming languages such as Python, Java, R, or SQL
  • Experience with Databricks or Snowflake Cloud Data Platforms
  • Knowledge of statistical analysis and data visualization tools, such as PowerBI or Tableau
  • Understanding of business financials and NPV analysis
  • Proficient in Microsoft Office
  • Creative thinker that is open to working collaboratively with a team

About Heritage Construction + Materials

Heritage Construction + Materials (HC+M) is part of The Heritage Group, a privately held, family-owned business headquartered in Indianapolis. HC+M has core capabilities in infrastructure building. Its collection of companies provides innovative road construction and materials services across the Midwest. HC+M companies, including Asphalt Materials, Inc., Evergreen Roadworks, The Hoosier Company, Milestone Contractors and US Aggregates, proudly employ 3,000 people at 68 locations across seven states. Learn more at www.heritagebuilds.com.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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