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Aws Data Engineer Jobs in Indiana (NOW HIRING)

RADcube

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 ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN

$77K - $202K/yr

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Pwc

Data Engineer - Manager

Indianapolis, IN

... e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core ...

EXOS

AWS Cloud Infrastructure Architect

Indianapolis, IN · On-site

$61.75 - $81.25/hr

This individual will work with our data engineering, cloud infrastructure, security, and vendor ... Configure AWS storage, access controls, encryption, logging, and third-party vendor connectivity.

Pwc

Data Engineer - Senior Manager

Indianapolis, IN · On-site

$124K - $280K/yr

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Parkview Health

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

Familiarity with cloud-based platforms like Databricks (AWS, Azure, GCP). Willingness to learn and develop skills in data engineering technologies.

Parkview Health

Data Engineer I

Fort Wayne, IN

$113K - $135K/yr

Familiarity with cloud-based platforms like Databricks (AWS, Azure, GCP). Willingness to learn and develop skills in data engineering technologies.

Parkview Health

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

Familiarity with cloud-based platforms like Databricks (AWS, Azure, GCP). Willingness to learn and develop skills in data engineering technologies.

inKind

Data Engineer

Austin, IN

$135K - $155K/yr

Data Engineering is a key role in the development team and is responsible for building and ... dbt, and AWS architecture * Proficiency in Python and modern AI/ML tooling and experience ...

EXOS

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

We are seeking a highly skilled Data Engineer/Developer to join a growing team focused on building ... Experience with cloud platforms (AWS, Azure, or GCP) * Familiarity with data warehousing and ...

Pwc

GenAI Python Systems Engineer-Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks ...

ClinDCast, LLC

Lead Data Engineer

Warsaw, IN · On-site

$96K - $116K/yr

Amazon Web Services (AWS) * Google Cloud Platform (Google Cloud Platform) * Strong experience with modern data warehouses such as: * Snowflake * Azure Synapse * Google BigQuery * Amazon Redshift Key ...

New

Deloitte

Sr Databricks Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud ... Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ...

Bespoke Labs

Data Engineer

Indianapolis, IN

$100K - $120K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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Aws Data Engineer information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do aws data engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for aws data engineer in Indiana is $123,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $130,800.00 per year, depending on experience, location, and employer.

What are some common challenges AWS data engineers face when managing large-scale data pipelines?

AWS Data Engineers often encounter challenges related to optimizing data pipelines for scalability and cost efficiency. Managing data ingestion from diverse sources, ensuring data quality, and handling real-time data processing can be complex at scale. Additionally, they must regularly monitor and troubleshoot pipeline failures, integrate new AWS services, and collaborate closely with data scientists, analysts, and DevOps teams to ensure data accessibility and security. Proactively addressing these challenges is vital for maintaining reliable and efficient data workflows.

What is an AWS data engineer?

AWS Data Engineers are professionals who design, build, and maintain data pipelines and architectures on Amazon Web Services (AWS). They work with large datasets, using AWS services such as Amazon S3, Redshift, Glue, and EMR to collect, transform, and store data for analytics or business intelligence. Their responsibilities often include ensuring data reliability, scalability, and security while optimizing data workflows and integrating various cloud-based tools. AWS Data Engineers collaborate with data scientists, analysts, and other stakeholders to enable data-driven decision-making. They typically have strong skills in programming, cloud infrastructure, and database management.

What are the key skills and qualifications needed to thrive as an AWS data engineer?

To thrive as an AWS Data Engineer, you need strong skills in data modeling, ETL processes, SQL, and a solid understanding of AWS services, typically supported by a degree in computer science or a related field. Familiarity with AWS tools like Redshift, Glue, S3, Lambda, and certifications such as AWS Certified Data Analytics are highly beneficial. Problem-solving abilities, effective communication, and adaptability are crucial soft skills for collaborating with teams and managing complex data projects. Mastery of these skills ensures efficient data pipeline development, reliable data solutions, and the ability to support business intelligence in a cloud environment.

What is the difference between Aws Data Engineer vs Data Analyst?

AspectAws Data EngineerData Analyst
Required CredentialsAWS certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes basic programming
Work EnvironmentCloud platforms, big data environments, data pipelinesBusiness intelligence tools, spreadsheets, reporting dashboards
Employer & Industry UsageTech companies, cloud service providers, enterprises using AWSMarketing, finance, healthcare, and other industries analyzing data

While both roles work with data, Aws Data Engineers focus on building and maintaining data pipelines in cloud environments using AWS tools, whereas Data Analysts interpret data to generate insights and reports. The roles often complement each other in data-driven organizations.

Is AWS Data Engineer in demand?

AWS Data Engineers are in high demand due to the increasing adoption of cloud data platforms and the need for scalable data processing solutions. Skills in AWS services like S3, Redshift, and Glue, along with data modeling and ETL expertise, are highly sought after by employers across various industries.

What is the salary of AWS Data Engineer?

The salary of an AWS Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as AWS Certified Data Analytics. Entry-level positions may start lower, while experienced engineers with specialized skills can earn higher salaries.
What are the most commonly searched types of Aws Data Engineer jobs in Indiana? The most popular types of Aws Data Engineer jobs in Indiana are:
What are popular job titles related to Aws Data Engineer jobs in Indiana? For Aws Data Engineer jobs in Indiana, the most frequently searched job titles are:
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Aws Data Engineer jobs near you
Infographic showing various Aws Data Engineer job openings in Indiana as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

AWS Data Engineer Databricks

RADcube

Indianapolis, IN • On-site

$109K - $131K/yr

Other

Posted 26 days ago

Job description

Job Title: 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 building and supporting a modern AWS + Databricks Lakehouse platform to enable advanced healthcare analytics (RWD/HEOR). The ideal candidate will have strong hands-on experience with AWS, Databricks, and data pipeline development, along with the ability to work closely with both technical and business stakeholders.
 
Key Responsibilities
  • Design, develop, and maintain data ingestion pipelines for real-world data (RWD) sources
  • Build and optimize data models within a Databricks Lakehouse architecture
  • Ensure data governance, quality, and compliance standards are met
  • Optimize cost, performance, and resource utilization across AWS and Databricks
  • Collaborate with business and technical stakeholders to translate requirements into scalable solutions
  • Provide technical guidance, coding standards, and best practices
  • Support knowledge sharing through documentation and training sessions
  • Deliver status updates and progress reports to senior leadership
 

Required Qualifications

  • Strong hands-on experience with AWS services (S3, Glue, Lambda, Redshift, etc.)
  • Proven experience with Databricks (Delta Lake, notebooks, workflows)
  • Expertise in SQL and Python
  • Experience building end-to-end ETL/ELT data pipelines
  • Strong understanding of data modeling techniques
  • Experience with data governance, quality, and compliance frameworks
  • Ability to work independently and in a collaborative team environment
  • Databricks Certification 
  • Experience building and managing CI/CD pipelines 
  • Experience with workflow orchestration tools
  • Exposure to data observability and lineage tools
  • Experience with monitoring, logging, and observability frameworks

Highly Preferred Skills

  • Experience in Healthcare / Pharma domain
  • Exposure to RWD (Real World Data) or HEOR analytics
  • Familiarity with Lakehouse architecture / Medallion (Bronze-Silver-Gold) models
  • Experience optimizing cost and performance in cloud environments
  • Strong communication and stakeholder management skills
 

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