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Aws Data Engineer Jobs in Indiana (NOW HIRING)

Bespoke Labs

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

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

Bespoke Labs

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

Deckers

Partner with Cloud Engineering and Security to ensure AWS data solutions meet security, privacy, and compliance requirements * Implement monitoring, alerting, incident response practices, and ...

Brotherhood Mutual

Data Engineer II

Fort Wayne, IN

$113K - $135K/yr

Data Engineer II FLSA Status: Exempt Job Family: IT - Business Intelligence Department: IT - Busin ... Fabric, AWS or similar) is required. * Bachelor's degree in Information Technology, Computer ...

Brotherhood Mutual

Data Engineer II

Fort Wayne, IN · On-site

$113K - $135K/yr

Data Engineer II FLSA Status: Exempt Job Family: IT - Business Intelligence Department: IT - Busin ... Fabric, AWS or similar) is required. * Bachelor's degree in Information Technology, Computer ...

Pwc

Data Engineer - Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... AWS) and Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment of scalable data ...

GMV

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 ...

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

Hands-On experience with at least one cloud data platforms (Azure preferred, AWS and GCP experience ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

Hands-On experience with at least one cloud data platforms (Azure preferred, AWS and GCP experience ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

SEP

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

Hands-On experience with at least one cloud data platforms (Azure preferred, AWS and GCP experience ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Allegion

Lead Platform Data Engineer

Carmel, IN · On-site

As a Lead Platform Data Engineer, you will oversee the data architecture connecting product ... services (AWS/Azure/GCP). • Experience implementing Data Contracts, schema registries, and ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN

$77K - $202K/yr

... AWS) and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions - Leveraging Apache Airflow and ...

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All JobsAws Data Engineer JobsAws Data Engineer Jobs in Indiana

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 Jul 15, 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 engineers make 300,000 a year?

Senior data engineers, including those working with cloud platforms like AWS, often earn $300,000 or more annually, especially with extensive experience, advanced skills in data architecture, and certifications. High salaries are common in competitive markets and for engineers involved in large-scale data projects or leadership roles.

What are AWS Data Engineers?

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, and why are they important?

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.

What engineer makes $500,000 a year?

An experienced senior data engineer, such as an AWS Data Engineer with specialized skills in cloud infrastructure, big data tools, and certifications, can potentially earn $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such roles often require extensive experience, advanced technical expertise, and leadership responsibilities.

Is AWS Data Engineer in demand?

AWS Data Engineer roles are in high demand due to the increasing adoption of cloud computing and data-driven decision making. Professionals with skills in AWS services, data pipelines, and big data tools are sought after across various industries, often commanding competitive salaries and requiring certifications like AWS Certified Data Analytics - Specialty.

What is the salary of AWS data engineer?

The average 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. Senior roles or those in high-cost areas may earn higher salaries, and proficiency with tools like Spark, Hadoop, and SQL can influence compensation.
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:
What job categories do people searching Aws Data Engineer jobs in Indiana look for? The top searched job categories for Aws Data Engineer jobs in Indiana are:
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.

Data Engineer

Bespoke Labs

Fort Wayne, IN • On-site

$105K - $126K/yr

Full-time

Posted 28 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

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