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Hourly Aws Data Engineer Jobs in Indiana (NOW HIRING)

Data Engineer

South Bend, IN · On-site

$112K - $135K/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

Data Engineer

Evansville, IN · On-site

$109K - $131K/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

Data Engineer

Indianapolis, IN · On-site

$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

Data Engineer

Terre Haute, IN · On-site

$108K - $130K/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

Data Engineer

Fort Wayne, IN · On-site

$105K - $126K/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

Data Engineer

Hammond, IN · On-site

$109K - $130K/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

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

Microsoft Fabric Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Hands-on AWS experience supporting data engineering solutions using services such as S3, Lambda ... API Gateway, Glue, and RDS/Aurora. * Strong proficiency in Python and/or PySpark for pipeline ...

Data Engineer

Merrillville, IN

$112K - $134K/yr

UNDERSTANDING The Data Analyst/Programmer is responsible for leveraging organizational data for the ... Experience in AWS, Azure or other AI engine software solutions. * Experience with API writing

Data Engineer

Merrillville, IN · On-site

$112K - $134K/yr

Description UNDERSTANDING The Data Analyst/Programmer is responsible for leveraging organizational ... Experience in AWS, Azure or other AI engine software solutions. * Experience with API writing

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

... engineer to join their growing data practice. The role involves building and maintaining data ... AWS and GCP experience also valued) • Familiarity with modern data platforms such as Databricks ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

  • Retirement

... AWS, or Google Cloud Platform) Background in analytics engineering or building semantic/curated data layers Why Join Us? At Delta Faucet Company, our people are our greatest assets. We value ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

  • Retirement

... Azure, AWS, or GCP) • Background in analytics engineering or building semantic/curated data layers Why Join Us? At Delta Faucet Company, our people are our greatest assets. We value different ...

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

We are an engineering and innovation company working in different areas. Within the IT sector we ... IBM Watson, AWS AI, Google AI, etc.), and big data architectures to respond to the needs of a ...

Showing results 21-40

Hourly Aws Data Engineer information

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 key skills and qualifications needed to thrive as an hourly AWS Data Engineer?

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 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 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:

What job categories do people searching Hourly Aws Data Engineer jobs in Indiana look for?

The top searched job categories for Hourly Aws Data Engineer jobs in Indiana are:

What cities in Indiana are hiring for Hourly Aws Data Engineer jobs?

Cities in Indiana with the most Hourly Aws Data Engineer job openings:

Infographic showing various Hourly Aws 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 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

Bespoke Labs

South Bend, IN • On-site

$112K - $135K/yr

Full-time

Re-posted 2 days ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines