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Hourly Aws Data Engineer Jobs in Indiana (NOW HIRING)

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.

... 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

Carmel, IN · On-site

$114K - $137K/yr

The Data Engineer supports the execution of Allied's Data Strategy by focusing on data acquisition ... AWS (EC2, S3, Glue, Lambda, etc.) * Snowflake * Python * Orchestration (Apache Airflow, Step ...

Data Engineer

Austin, IN · On-site

$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 ...

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

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)

Sr. Data Engineer

Indianapolis, IN

$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 ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Data Engineering & Pipeline Development Design, develop, and optimize scalable data pipelines using ... Experience with cloud data platforms (e.g., Databricks, AWS, Azure, GCP) and their associated data ...

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 ...

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 ...

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 ...

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

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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 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, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

$62 - $81.25/hr

Full-time

Re-posted 29 days ago


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).