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Senior Big Data Engineer Jobs in Indiana (NOW HIRING)

Allied Solutions LLC

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

Supports the refinement and maintenance of BI-focused data architecture under guidance from senior ... Experience with big data technologies and distributed computing frameworks. * Excellent problem ...

Allied Solutions LLC

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

Supports the refinement and maintenance of BI-focused data architecture under guidance from senior ... Experience with big data technologies and distributed computing frameworks. * Excellent problem ...

GMV

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

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 ...

Elevance Health

Senior Data Engineer

Indianapolis, IN · On-site

$101K - $137K/yr

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support ...

Elevance Health

Senior Data Engineer

Indianapolis, IN · Hybrid

$101K - $137K/yr

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 - 2days per week, fostering collaboration and connectivity, while providing flexibility to support ...

Masco Corporation

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Delta Faucet Company is seeking a Senior Data Engineer to lead the design, development, and scaling of enterprise data pipelines that power omni-retail analytics, advanced modeling, and AI/ML ...

CSpring

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Our team has an immediate opening for a full-time, Sr. Data Engineer. If the idea of working on challenging assignments with a team who is passionate about serving others and creating insights sounds ...

Elevance Health

Senior Data Engineer

Indianapolis, IN · Hybrid

$101K - $137K/yr

Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 - 2days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work ...

Parkview Health

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

Works closely with senior data engineers and other teams to understand data needs and requirements. Documentation: Documents data workflows, pipelines, and technical processes. Maintains clear and ...

Parkview Health

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

Works closely with senior data engineers and other teams to understand data needs and requirements. Documentation: Documents data workflows, pipelines, and technical processes. Maintains clear and ...

Parkview Health

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

Works closely with senior data engineers and other teams to understand data needs and requirements. Documentation: Documents data workflows, pipelines, and technical processes. Maintains clear 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 ...

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 ...

Liberty Mutual

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 Analytics Engineering team in the Frontier and PL Distribution space. This is an exciting opportunity ...

Liberty Mutual

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 Analytics Engineering team in the Frontier and PL Distribution space. This is an exciting opportunity ...

Liberty Mutual

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 Analytics Engineering team in the Frontier and PL Distribution space. This is an exciting opportunity ...

GMV

AI Software Engineer

Anderson, IN · On-site +1

$48.25 - $64/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 ...

Kobie Marketing

Sr. Data Engineer

Indianapolis, IN · Remote

$101K - $137K/yr

As a Senior Data Engineer, you will be a key technical contributor and operational owner within our data engineering function. You will bring deep Snowflake expertise and strong engineering instincts ...

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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 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:
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.

Data Engineer

Allied Solutions LLC

Carmel, IN • On-site

$114K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Allied Solutions rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

181st of 304 rated insurance

Job description

The Data Engineer supports the execution of Allied's Data Strategy by focusing on data acquisition, curation, and transformation. This role involves working with cross-functional teams to implement efficient data models and contribute to the development of modern data architecture aligned with business and data initiatives. The Data Engineer will assist in building end-to-end data pipelines to enable business intelligence, analytics, and data-driven decision making. This position requires a solid understanding of SQL, data design principles, and data processing methods. The Data Engineer will also help implement and maintain data models, schemas, and participate in discussions around the evolution of Allied's Data Management and Strategy.
Job Duties and Responsibilities:
Data Integration Development and Administration (75%)
  • Identifies, troubleshoots, and resolves data and data processing errors in existing solutions.
  • Works closely with the Data Intelligence team to understand data and reporting requirements and assists in implementing backend data solutions to meet business needs.
  • Develops, maintains, and updates data sets while helping standardize data collection and processing practices.
  • Assists in executing technical plans for extracting, integrating, and moving data to and from third-party providers.
  • Supports the delivery of enterprise data solutions, including ETL processes, warehouse updates, and performance tuning.
  • Mentors other ETL Developers and Junior Data Engineers.

Discovery, Design and Documentation (15%)
  • Creates and maintains documentation of data warehouse structures, data stores and end-to-end data flows.
  • Collaborates with technical teams and internal and external users to support the development of technical designs.
  • Supports the refinement and maintenance of BI-focused data architecture under guidance from senior data engineers.
  • Assists in conducting gap analysis on source system databases compared to the enterprise data warehouse to support Business Intelligence initiatives.
  • Participates in technical discussions and provides input on technical decisions that impact cross-functional teams.
  • Attends architecture and planning meetings to contribute to defining project scope, timelines, and resource estimates.
  • Gains a working knowledge of data warehouse and data mart models and associated business information.
  • Helps identify opportunities for process improvements or the adoption of new technologies that improve data delivery and business value.
  • Works collaboratively with developers and subject matter experts to align technical solutions with business needs, focusing on usability and performance.

Enhance Skillsets (10%)
  • Possess and demonstrate good communication skills to be able to run discovery sessions.
  • Continue to develop data architecture skills by working with senior data engineers and architects.
  • Continue to develop data modeling skills by working with senior data engineers.
  • Enhance skills and knowledge around data management platforms and tools:
    • AWS (EC2, S3, Glue, Lambda, etc.)
    • Snowflake
    • Python
    • Orchestration (Apache Airflow, Step Functions, etc.)
  • Enhance skills and knowledge around database platforms:
    • Snowflake
    • SQL Server
    • Postgres
  • Enhance skills and knowledge around Data Governance
    • Data Analysis and Profiling
    • Data Quality
    • Data Governance
    • Data Modeling
  • Enhance skills and knowledge around file formats and communication types:
    • APIs
    • JSON
    • XML
    • CSV (character separated values)
    • Unstructured

Qualifications (Education, Experience, Certifications & KSA):
  • Bachelor's degree or equivalent combination of education and experience required.
  • 3-5 years of experience in data engineering, ETL development, or a related role.
  • Extensive hands-on experience with Informatica and AWS Glue for data integration and transformation.
  • Strong proficiency in Python for data engineering and automation.
  • Deep expertise in AWS Lambda and other cloud-based data services.
  • Strong understanding of data warehousing concepts, data modeling, and SQL.
  • Experience with big data technologies and distributed computing frameworks.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Experience with cloud data platforms such as AWS Redshift, Snowflake, or BigQuery.
  • Advanced knowledge of data governance, security, and compliance best practices.
  • Proficiency in workflow orchestration tools (e.g., Apache Airflow, Step Functions).
  • Familiarity with DevOps practices and CI/CD pipelines for data engineering.
  • Experience with real-time data processing frameworks such as Kafka or Kinesis.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.
We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.
All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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