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Hourly 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 ...

RADcube

Be Seen First

Senior AWS Data Engineer

Indianapolis, IN · On-site

$90K - $120K/yr

Senior AWS Data Engineer - Databricks (Healthcare Analytics) Location: Indianapolis, IN Role Overview We are seeking a highly skilled AWS Data Engineer to support a strategic STRADA Modernization ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$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

$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 ...

Coforge

DDCS Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Develop and support AWS-based data integrations using S3, Lambda, API Gateway, Glue, and RDS/Aurora ... Engineering Experience (5+ Years)

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 ...

Deloitte

Sr Databricks Data Engineer

Indianapolis, IN

$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

Gary, IN · On-site

$113K - $136K/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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Hourly Aws Data Engineer information

What are some common challenges faced by hourly AWS Data Engineers, and how can they be effectively addressed?

Hourly AWS Data Engineers often encounter challenges such as quickly adapting to new projects with varying data architectures, managing data security across different AWS services, and integrating multiple data sources efficiently within tight deadlines. To address these, it's crucial to stay up-to-date with AWS best practices, maintain clear documentation, and build strong communication channels with team members and stakeholders. Leveraging automation tools and AWS-native services can also help streamline processes and ensure consistent, high-quality deliverables in a dynamic environment.

What are the key skills and qualifications needed to thrive as an Hourly AWS Data Engineer, and why are they important?

To excel as an Hourly AWS Data Engineer, you need expertise in data engineering concepts, strong SQL skills, and a solid understanding of AWS services such as S3, Redshift, and Glue, typically supported by a degree in computer science or a related field. Familiarity with tools like AWS Lambda, ETL frameworks, and certifications such as AWS Certified Data Analytics or AWS Certified Solutions Architect are highly valuable. Strong problem-solving abilities, clear communication, and the ability to collaborate remotely make candidates stand out. These skills and qualities are crucial to efficiently build, maintain, and optimize scalable data solutions in cloud-based environments.

What is an hourly AWS Data Engineer?

An hourly AWS Data Engineer is a professional who specializes in designing, building, and managing data infrastructure and pipelines on Amazon Web Services (AWS), and is compensated based on the number of hours worked rather than a fixed salary. Their responsibilities often include integrating data from various sources, optimizing data storage and retrieval, ensuring data security, and supporting analytics and machine learning workflows. This role requires proficiency in AWS services such as S3, Redshift, Glue, and Lambda, as well as knowledge of programming languages like Python or SQL. Hourly AWS Data Engineers are commonly hired for project-based or short-term needs, offering flexibility to both employers and workers.
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 Hourly Aws Data Engineer jobs in Indiana? For Hourly Aws Data Engineer jobs in Indiana, the most frequently searched job titles are:
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What cities in Indiana are hiring for Hourly Aws Data Engineer jobs? Cities in Indiana with the most Hourly Aws Data Engineer job openings:
Hourly Aws Data Engineer jobs near you
Infographic showing various Hourly Aws Data Engineer job openings in Indiana as of July 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.
AWS Data Engineer - Databricks

AWS Data Engineer - Databricks

RADcube

Indianapolis, IN • On-site

$109K - $131K/yr

Other

Posted 20 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
 

Apply