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Aws Data Engineer Jobs in Indiana (NOW HIRING)

Pharma Data Engineer - Databricks AWS

Indianapolis, IN ยท On-site

$109K - $131K/yr

Pharma Data Engineer - Databricks & AWS Hybrid - Indianapolis, IN We are seeking a Data Engineer with 3-5 years of experience working specifically within the pharma industry to join a pharma-focused ...

Data Engineer - Senior Manager

Indianapolis, IN ยท 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 ...

Data Engineer

Indianapolis, IN ยท On-site

$64K - $173K/yr

Required Qualifications * 4+ years of experience working with SQL and relational database management systems * 2+ years of experience in Cloud Data Engineering Platforms such as AWS, GCP, Azure ...

DDCS Data Engineer

Indianapolis, IN ยท 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)

Data Engineer

Indianapolis, IN ยท On-site

$109K - $131K/yr

What You Will DoData Engineering & Pipeline Development * Design, develop, and optimize scalable ... Experience with cloud data platforms (Databricks, AWS/Azure/GCP) and services (S3, Redshift ...

Sr Databricks Data Engineer

Indianapolis, IN ยท 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 ...

Microsoft Fabric Data Engineer

Indianapolis, IN ยท 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 ...

Own the long-term data platform roadmap and guide the architecture, design, and evolution of Databricks and AWS capabilities. * Champion modern engineering practices, emerging technologies, and ...

Sr. Data Engineer

Indianapolis, IN ยท On-site

$109K - $131K/yr

... Azure, AWS, or GCP) โ€ข 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 ...

Sr. Data Engineer

Indianapolis, IN ยท On-site

$109K - $131K/yr

... AWS, or GCP) ยท 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 ...

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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 Sep 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 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 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 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 does an AWS Data Engineer do?

An AWS Data Engineer designs, builds, and maintains data pipelines and infrastructure on Amazon Web Services. They work with tools like AWS Glue, Redshift, S3, and Lambda to process and analyze large datasets, ensuring data quality and security. Strong programming skills and knowledge of cloud architecture are essential for this role.

What is the salary of AWS Data Engineer?

The average salary for 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 with specialized skills in cloud architecture may 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 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:

Infographic showing various Aws Data Engineer job openings in Indiana as of September 2026, with employment types broken down into 1% Internship, 2% As Needed, 82% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

AWS Data Architect

Indianapolis, IN โ€ข On-site

Texas State Library and Archives Commision
Libraries and Archivesย โ€ขย 201 - 500 employees

$62 - $81.25/hr

Full-time

This job post hasย expired 2 days ago.ย Applications are no longer accepted.


Job description

Role Overview
We are seeking an experienced AWS Data Architect to design and implement cloud-native data solutions on AWS. The role focuses on data management, data lakes, and data warehousing with hands-on expertise in AWS Glue, Redshift, and related services.
Key Responsibilities
  • Architect and implement scalable data lake and warehouse solutions using AWS (Glue, Redshift, S3, Lake Formation, Athena).
  • Build and optimize ETL/ELT pipelines for structured and unstructured data.
  • Define best practices for data governance, security, and cost optimization in AWS.
  • Collaborate with engineering and business teams to deliver high-performance data platforms.

Required Skills
  • 8+ years in data architecture/engineering, with strong AWS experience.
  • Hands-on expertise in AWS Glue, Redshift, Data Lake solutions, and SQL/Python.
  • Experience with data modeling, performance tuning, and data governance.
  • Strong communication and problem-solving skills.

Preferred
  • AWS Certified Solutions Architect / Data Analytics Specialty.
  • Experience with streaming (Kinesis, Kafka) and BI tools (QuickSight, Tableau, Power BI).