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Aws Data Scientist Jobs (NOW HIRING)

AWS Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Bachelor's degree in Computer Science, Engineering, or related field. * 3-8+ years of experience in data engineering or related roles. * Strong hands-on experience with AWS services, including:

AWS Data Engineer

New York, NY · On-site

$125K - $150K/yr

... Science, Engineering, or related field 8+ years of experience in data engineering or related roles Strong hands-on experience with AWS services, including: o Amazon S3 o AWS Glue o Amazon Redshift ...

Senior AWS Data Engineer

Pittsburgh, PA · On-site

$99K - $134K/yr

Job Title: Senior AWS Data Engineer Location: Knoxville, TN, Columbia SC or Lafayette, LA or ... Bachelor's degree in computer science, Information Technology, Engineering, Data Science, or a ...

Utilize AWS analytics services Athena Redshift QuickSight EMR for advanced reporting and visualization * Work with stakeholders to translate business objectives into data science solutions and ...

AWS Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... Science, Engineering, or related field 8+ years of experience in data engineering or related roles Strong hands-on experience with AWS services, including: o Amazon S3 o AWS Glue o Amazon Redshift ...

Senior AWS Data Engineer

Pittsburgh, PA · On-site

$102K - $139K/yr

Job Title: Senior AWS Data Engineer Location: Knoxville, TN, Columbia SC or Lafayette, LA or ... Bachelor's degree in computer science, Information Technology, Engineering, Data Science, or a ...

Senior AWS Data Engineer

Pittsburgh, PA · On-site

$102K - $139K/yr

Job Title: Senior AWS Data Engineer Location: Knoxville, TN, Columbia SC or Lafayette, LA or ... Bachelor's degree in computer science, Information Technology, Engineering, Data Science, or a ...

SR. AWS DATA ENGINEER

Reston, VA · On-site

$119K - $143K/yr

Job Title: SR. AWS DATA ENGINEER Location: Reston, VA Duration: 12+ Months Visa: USC, GC, H1B and ... Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

AWS Data Engineer

Beverly Hills, CA · On-site

$131K - $157K/yr

AWS Data Engineer Location- Beverly Hills, CA / 3-4 Days Hybrid Job Type-Long Term * Experience in ... Undergraduate degree in Computer Science, or equivalent experience * Effective communication skills ...

AWS Data Engineer (Associate)

$117K - $140K/yr

As an AWS Data Engineer, you will collaborate with business leads and data scientists to build data products that enhance decision-making and ensure data quality. Responsibilities : • Write ...

AWS Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Bachelor's degree in Computer Science, Engineering, or related field. * Demonstrated expertise in developing data pipelines with Python and PySpark, with a strong emphasis on utilizing AWS Glue, EMR ...

Must have or be able to obtain av AWS data engineer or machine learning certification withing the ... science * Ability to work independently and as part of a team on a large fast paced project

Must have or be able to obtain av AWS data engineer or machine learning certification withing the ... science * Ability to work independently and as part of a team on a large fast paced project

The Data Scientist will design, prototype, and implement a data management and application ... Cloud development experience, preferably in AWS * Excellent verbal and written communication skills

... obtain av AWS data engineer or machine learning certification withing the first 6 months of ... science Ability to work independently and as part of a team on a large fast paced project ...

AWS Data Engineer

Newark, NJ · On-site

$53 - $58/hr

Bachelor's degree in computer science, Software Engineering, MIS or equivalent combination of ... Build reliable and robust Data ingestion pipelines (within AWS, on-prem to AWS, etc.). * Ensure the ...

Showing results 41-60

Aws Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do aws data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for aws data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an AWS data scientist?

An AWS Data Scientist leverages Amazon Web Services (AWS) cloud tools to analyze large datasets, build machine learning models, and derive insights for business decisions. They work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to clean, process, and visualize data efficiently. Their role involves data engineering, statistical analysis, and deploying scalable machine learning solutions in the cloud. AWS Data Scientists collaborate with engineers and analysts to optimize data workflows and improve predictive analytics.

What types of projects and collaborations can I expect as an AWS data scientist?

As an AWS Data Scientist, you will frequently work on projects involving large-scale data processing, predictive modeling, and developing machine learning pipelines using AWS cloud platforms. Collaboration is key, as you'll interact regularly with data engineers, software developers, business analysts, and sometimes non-technical stakeholders to understand requirements and deliver data-driven solutions. Many roles offer opportunities to lead innovations, contribute to cloud architecture decisions, and upskill in emerging AWS technologies. You'll gain practical experience with real-world datasets and help drive impactful decisions across multiple departments. This collaborative, dynamic environment often presents excellent opportunities for career growth and specialization within both data science and cloud computing realms.

What are the key skills and qualifications needed to thrive in the AWS data scientist position, and why are they important?

To thrive as an AWS Data Scientist, you need strong statistical analysis, machine learning expertise, and proficiency in programming languages like Python or R, often with a degree in computer science or a related field. Familiarity with AWS services such as Sagemaker, Redshift, and Athena, as well as certifications like AWS Certified Machine Learning – Specialty, are highly valued. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate data insights into actionable business solutions. These competencies ensure efficient development, deployment, and scaling of data-driven models in cloud-based environments.

Does AWS hire data scientists?

Yes, AWS hires data scientists to work on machine learning, data analysis, and cloud-based AI solutions. These roles often require skills in programming, statistical analysis, and familiarity with AWS services like SageMaker. Opportunities are available across various teams and locations, with roles typically requiring relevant experience and technical certifications.
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States with the most job openings for Aws Data Scientist jobs include:

Infographic showing various Aws Data Scientist job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

AWS Data Engineer

United Airlines

Manhattan, NY • On-site

$126K - $151K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 343 frontline employees who took The Breakroom Quiz

8th of 26 rated airlines


Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Description
Role Overview

We are seeking a skilled AWS Data Engineer to design, build, and optimize scalable data pipelines and architectures on the AWS cloud platform. The ideal candidate will have strong experience in data engineering, cloud technologies, and modern data frameworks to support analytics, reporting, and data-driven decision-making.

Key Responsibilities
  • Design, develop, and maintain scalable ETL/ELT data pipelines using AWS services.
  • Build and manage data lakes and data warehouses (e.g., Amazon S3, Redshift, Glue).
  • Develop and optimize batch and real-time data processing systems.
  • Ensure data quality, integrity, and governance across systems.
  • Work with stakeholders to translate business requirements into technical solutions.
  • Implement data integration solutions across multiple sources and formats.
  • Monitor and troubleshoot data workflows for performance and reliability.
  • Optimize costs and performance of AWS data infrastructure.
  • Collaborate with data scientists, analysts, and DevOps teams.
Required Skills & Qualifications
  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 3-8+ years of experience in data engineering or related roles.
  • Strong hands-on experience with AWS services, including:
    • Amazon S3
    • AWS Glue
    • Amazon Redshift / RDS
    • AWS Lambda
    • Kinesis (for streaming use cases)
  • Proficiency in SQL and at least one programming language (Python, Scala, or Java).
  • Experience with ETL tools and frameworks.
  • Solid understanding of data modeling, warehousing, and big data concepts.
  • Familiarity with distributed processing frameworks (Spark, Hadoop).
  • Experience with CI/CD pipelines and version control (Git).
Preferred Qualifications
  • Experience with Apache Spark, Kafka, or Databricks.
  • Knowledge of data governance, security, and compliance.
  • Familiarity with infrastructure as code (Terraform, CloudFormation).
  • AWS certifications (e.g., AWS Certified Data Engineer / Solutions Architect).
  • Experience with BI tools (Power BI, Tableau).
Key Competencies
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Attention to detail and commitment to data quality.
  • Ability to work in a fast-paced, agile environment.
Nice to Have
  • Experience with machine learning data pipelines.
  • Knowledge of real-time analytics and streaming architectures.
  • Exposure to multi-cloud or hybrid environments.

The base compensation range for this role in the posted location is: 72,000 to 96,900

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


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About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

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