ZipRecruiter

Log In

1

Aws Data Engineer Jobs in Nebraska (NOW HIRING)

Snowrelic Inc

Lead Data Engineer

Omaha, NE · On-site

$98K - $129K/yr

Lead Data Engineer Location: Omaha, Nebraska; Onsite Job Type: Full-Time Reports To: Sr. Manager of ... cloud data platforms (AWS, Azure, or GCP) * Expertise in data warehousing, dimensional and ...

Snowrelic Inc

ETL Data Engineer (W2 Full Time)

Omaha, NE · On-site

$109K - $131K/yr

Role: Data Engineer; Operational Data Group Location: Onsite in Omaha, Nebraska Department ... solutions (AWS, Azure, or Google Cloud preferred) Strong background in data modeling, data ...

INFT Solutions inc

Remote-Senior Data Engineer

Lincoln, NE · On-site

$48.50 - $64.25/hr

Senior Data Engineer - 66129 Duration: 12+ Months Location: Remote / Lincoln, Nebraska Job Summary ... Familiarity with AWS infrastructure supporting Cloudera. Experience with Agile, Jira, and ...

Deckers

Partner with data engineering teams to translate architecture and logical designs into scalable physical implementations on AWS cloud data platforms * Ensure consistent data definitions, lineage, and ...

CACI International, Inc.

AWS Cloud Engineer Lead

Omaha, NE · On-site

$53.25 - $71.25/hr

Job Title: AWS Cloud Engineer Lead Job Category: Information Technology Time Type: Full time ... Plan and execute migration of applications and data to the cloud, ensuring seamless integration ...

next page

Showing results 1-20

All JobsAws Data Engineer JobsAws Data Engineer Jobs in Nebraska

Aws Data Engineer information

See Nebraska salary details

$42.4K

$123.7K

$169.2K

How much do aws data engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for aws data engineer in Nebraska is $123,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $131,100.00 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 Nebraska?

The most popular types of Aws Data Engineer jobs in Nebraska are:

What are popular job titles related to Aws Data Engineer jobs in Nebraska?

For Aws Data Engineer jobs in Nebraska, the most frequently searched job titles are:

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

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

What cities in Nebraska are hiring for Aws Data Engineer jobs?

Cities in Nebraska with the most Aws Data Engineer job openings:

Aws Data Engineer jobs near you
Infographic showing various Aws Data Engineer job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $123,678 per year, or $59.5 per hour.

Lead Data Engineer

Snowrelic Inc

Omaha, NE • On-site

$98K - $129K/yr

Full-time

Re-posted 14 days ago

Job description

Lead Data Engineer

Location: Omaha, Nebraska; Onsite
Job Type: Full-Time
Reports To: Sr. Manager of Data Engineering

Capstone IT is helping a premier client to hire an experienced Lead Data Engineer to lead the development and optimization of robust data pipelines that support business intelligence, analytics, and operational systems. In this high-impact role, you'll take ownership of ETL/ELT workflows and cloud data solutions, ensuring accuracy, scalability, and efficiency across our data environment. You’ll collaborate across departments to translate data needs into reliable technical solutions, serve as a mentor to junior engineers, and help shape the future of their data architecture.

This role combines hands-on engineering with strategic leadership, giving you the opportunity to influence everything from pipeline performance to architectural decisions to team growth. You will operate as a technical expert, a cross-functional partner, and a production support lead, directly contributing to business-critical decisions.

Top Skills:

  • 10 years of experience in ETL/ELT development (Informatica, DataStage, DBT)
  • Advanced SQL programming (8–10 years)
  • Strong Python or shell scripting skills (8–10 years)
  • 5+ years of experience with cloud data platforms (AWS, Azure, or GCP)
  • Expertise in data warehousing, dimensional and relational modeling
  • Strong database performance tuning and optimization
  • Proven leadership in mentoring, task delegation, and cross-team collaboration
  • Agile methodology experience preferred

What You’ll Do:

  • Design, develop, and maintain ETL/ELT workflows to support structured and semi-structured data ingestion into data warehouses and operational data stores.
  • Work closely with developers, analysts, and business partners to understand data requirements, define transformation logic, and deliver production-ready solutions.
  • Guide junior engineers by providing technical direction, performing code reviews, and modeling best practices for performance and maintainability.
  • Perform source-to-target mapping, data profiling, and transformation validation to uphold data quality across systems.
  • Lead production support efforts, troubleshoot critical issues, and oversee deployment through change management processes.

Qualifications:

  • Bachelor’s degree in Computer Science, MIS, or related field with 10+ years of experience; or Master’s with 8+ years; or equivalent practical experience
  • Deep experience with data warehousing, ETL/ELT tools, and cloud-based data platforms
  • Strong scripting and programming ability in Python or shell
  • Proven ability to lead and collaborate in Agile teams
  • Strong communication skills and a customer-focused mindset