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Aws Data Analyst Relocation Jobs (NOW HIRING)

Perform advanced data analysis, feature engineering, model training, and optimization using Python * Work with large-scale datasets using AWS data services including S3, Glue, Athena, and Redshift

AWS Data Architect (Remote)

Irving, TX · Remote

$62.25 - $81.50/hr

Join us! AWS Data Architect Locations: Remote POSITION SUMMARY : We are seeking a AWS Data ... Collaborate with data engineers, analysts and business stakeholders to deliver data driven ...

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

... AWS ... You will work closely with technical analysts, client stakeholders, data scientists, and other team ...

AWS Data Architect

Clinton, NJ · On-site

$66.50 - $85.50/hr

AWS Data Architect Location: [Location(s) / Remote] - Hybrid - Clinton, NJ - 3 days in a week from ... Work closely with business, analytics, and engineering teams * Lead technical discussions and ...

Perform advanced data analysis, feature engineering, model training, and optimization using Python * Work with large-scale datasets using AWS data services including S3, Glue, Athena, and Redshift

AWS Data Architect

Phoenix, AZ · On-site

$62 - $79.75/hr

Strong problem-solving and analytical skills with attention to detail * Excellent communication and ... Certifications in data architecture AWS Azure or Data Analytics * Skills * Mandatory Skills: GCP ...

AWS Data Architect (Remote)

Irving, TX · On-site +1

$62.25 - $81.50/hr

Join us! AWS Data Architect Locations: Remote POSITION SUMMARY : We are seeking a AWS Data ... Collaborate with data engineers, analysts and business stakeholders to deliver data driven ...

AWS Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

AWS Data Engineer Job Location: Atlanta, GA Job Type: Contract * Design, develop, and maintain ... Collaborate with data scientists, analysts, and business stakeholders to deliver reliable datasets.

Sr. AWS Data Engineer

$108K - $147K/yr

Cognizant is seeking a Sr. AWS Data Engineer to design and optimize cloud-native data solutions for enterprise-scale analytics. The role involves collaborating with architects and data scientists to ...

AWS Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Design and manage data warehousing solutions on AWS, particularly with Redshift, for optimized storage, querying, and analysis of structured and semi-structured data. Data Lake Management: Implement ...

AWS Data Engineer

New York, NY

$125K - $150K/yr

We are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering Practice. This role is pivotal in shaping and implementing our client's vision for a cutting-edge, cloud-native data ...

AWS Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Utilize EMR clusters for distributed data processing and analytics, ensuring efficient resource utilization and performance. * Implement serverless workflows using AWS Step Functions to orchestrate ...

A successful Marketing Data Analyst develops and maintains the statistical modeling, analysis and ... AWS QuickSight or QlikView, develop models and simulations using Excel or Python, and perform ...

A successful Marketing Data Analyst develops and maintains the statistical modeling, analysis and ... AWS QuickSight or QlikView, develop models and simulations using Excel or Python, and perform ...

AWS Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

... analyse results, and coordinate bug fixes to uphold the software quality standards • Develop ... relocation and/or travel to work/project location. • Candidates authorized to work for any ...

AWS Data Engineer

$117K - $140K/yr

We are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering Practice. This ... Build and manage infrastructure as code using AWS CDK for scalable and repeatable deployments.

AWS Data Engineer

Atlanta, GA · Hybrid

$110K - $132K/yr

Design and develop scalable data pipelines using AWS Glue, Lambda, and Event Bridge for event ... Collaborate with downstream teams (BI, analytics, and Snowflake if applicable) to ensure reliable ...

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Aws Data Analyst Relocation information

See salary details

$34K

$82.6K

$136K

How much do aws data analyst relocation jobs pay per year?

As of Jun 7, 2026, the average yearly pay for aws data analyst relocation in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are some common challenges AWS Data Analysts face when relocating for a new position, and how can they prepare for a smooth transition?

AWS Data Analysts who relocate for a new role often encounter challenges such as adapting to a new work environment, understanding unfamiliar data architectures, and integrating with new teams. To prepare for a smooth transition, it's helpful to research the company's cloud infrastructure, reach out to future colleagues ahead of time, and familiarize yourself with local housing and commuting options. Many organizations offer relocation support and onboarding programs, which can ease both the logistical and professional aspects of your move.

What are the key skills and qualifications needed to thrive as an AWS Data Analyst, especially when relocating?

To thrive as an AWS Data Analyst, you need strong analytical skills, proficiency in data analysis, and a solid understanding of cloud platforms, particularly AWS, often supported by a relevant degree in computer science or data analytics. Familiarity with AWS services like Redshift, Athena, S3, and tools such as SQL, Python, and data visualization platforms is highly valuable, alongside AWS certifications like AWS Certified Data Analytics – Specialty. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills, especially when navigating new environments after relocation. These skills and qualifications ensure accurate data-driven insights, seamless cloud integration, and effective collaboration within diverse, distributed teams.

What is the difference between Aws Data Analyst Relocation vs Aws Data Engineer?

AspectAws Data Analyst RelocationAws Data Engineer
Required CredentialsTypically requires AWS certifications, data analysis skills, and possibly a degree in data-related fieldsRequires AWS certifications, advanced data architecture skills, and often programming knowledge
Work EnvironmentFocuses on analyzing data, creating reports, and supporting decision-making, often in office or remote settingsBuilds and maintains data pipelines, works with cloud infrastructure, often in technical or development environments
Employer & Industry UsageUsed across industries for data analysis roles, frequently in tech, finance, and consulting firmsCommon in tech companies, cloud service providers, and organizations with large-scale data infrastructure

The main difference between Aws Data Analyst Relocation and Aws Data Engineer lies in their focus and skill set. Data analysts primarily interpret data and generate insights, while data engineers build the systems that collect and process data. Both roles require AWS certifications but serve different functions within data management and analysis.

What is an AWS Data Analyst and what do they do, especially when relocating?

An AWS Data Analyst is a professional who uses Amazon Web Services (AWS) tools and services to collect, process, analyze, and visualize data for business insights. Their responsibilities include working with cloud-based data storage, managing data pipelines, and creating reports or dashboards. When relocating, an AWS Data Analyst may need to adapt to new teams, project requirements, and possibly different AWS environments depending on the company's infrastructure. Relocation often involves not just moving geographically, but also integrating with new business processes and data governance policies.
Infographic showing various Aws Data Analyst Relocation job openings in the United States as of May 2026, with employment types broken down into 4% Internship, 84% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
AWS Data Scientist

$80K - $90K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


United Airlines rating

7.8

Company rating: 7.8 out of 10

Based on 331 frontline employees who took The Breakroom Quiz

9th 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 Location : Malvern, PA (Onsite/Hybrid)
Job Description

We are looking for a highly experienced AWS Data Scientist with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and advanced Python programming to build and deploy scalable, cloud-native analytics solutions on AWS. The role requires hands-on experience across the full data science lifecycle and close collaboration with business and engineering teams.

Required Skills & Qualifications
  • Minimum 8+ years of experience in Data Science, AI, or Machine Learning
  • Strong hands-on expertise in AI & ML, including supervised and unsupervised learning, NLP, or deep learning
  • Advanced Python programming skills, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
  • Extensive experience with AWS, especially SageMaker, S3, Redshift, Glue, Athena, Lambda
  • Strong foundation in statistics, predictive modeling, and ML algorithms
  • Proficiency in SQL and experience with data visualization techniques
  • Excellent communication and stakeholder management skills
Key Responsibilities
  • Design, develop, and deploy AI/ML models and data science solutions on AWS
  • Build end-to-end ML pipelines using AWS services such as SageMaker, Lambda, EC2, and ECR
  • Perform advanced data analysis, feature engineering, model training, and optimization using Python
  • Work with large-scale datasets using AWS data services including S3, Glue, Athena, and Redshift
  • Implement MLOps practices for model deployment, monitoring, retraining, and version control
  • Translate complex business problems into AI/ML-driven solutions
  • Ensure adherence to data security, governance, and compliance standards
Preferred Qualifications
  • AWS Certifications (Machine Learning - Specialty or Solutions Architect)
  • Experience with big data technologies such as Spark
  • Exposure to real-time or streaming data pipelines
  • Background in financial services or regulated industries

The base compensation range for this role in the posted location is: $80786 - 90892 

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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