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Aws Data Analyst Relocation Jobs (NOW HIRING)

AWS Data Engineer

Newark, NJ

$119K - $143K/yr

Superior analytical and problem solving skills * Should be able to work on a problem independently ... Experience in AWS data lake/data warehouse/business analytics. * Experience in system analysis ...

AWS Data Architect

Charlotte, NC · Remote

$130K - $165K/yr

AWS Data Architect/Engineer Company Overview Random Bit is a system modernization partner that ... This role collaborates with Enterprise Architects and Business Analysts who support enterprise ...

AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS * Knowledge of ETL/ELT * End-to-end data solutions (ingest, storage, integration, processing ...

AWS Data Architect

Fort Mill, SC · On-site

$56 - $72/hr

AWS Certifications (Solutions Architect, Data Analytics Specialty) * Strong communication and leadership skills to work across business and technical teams

AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS * Knowledge of ETL/ELT * End-to-end data solutions (ingest, storage, integration, processing ...

Data Analyst. Location: Sunnyvale, CA. Duration: Long Term Contract. Direct Client: Req. ... Strong command in querying data within AWS, navigating complex joins across multiple databases to ...

AWS Data Architect

Alameda, CA · On-site

$72.25 - $93/hr

Analytical mindset * Minimum 10+ years of overall IT experience, with 8+ years in Data Engineering ... AWS data architecture, including Amazon S3, Glue, Redshift, Athena, Lambda, EMR, Lake Formation ...

AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS * Knowledge of ETL/ELT * End-to-end data solutions (ingest, storage, integration, processing ...

AWS Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

At least 3- 5 years of hands-on experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions on AWS Cloud ...

AWS Data Engineer

Reston, VA · On-site

$119K - $143K/yr

... analytics and data product needs. Key Responsibilities * Build and maintain ETL pipelines using Python and PySpark on AWS Glue and other compute platforms * Orchestrate workflows with AWS Step ...

AWS Data Architect

Clinton, NJ · On-site +1

$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 ...

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

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 Scientist

Atlanta, GA · On-site

$85K - $105K/yr

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 Engineer

CO · On-site +1

$114K - $137K/yr

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

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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 8, 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 Engineer

Marencor

San Francisco, CA • On-site

$134K - $162K/yr

Contractor

Posted 10 days ago


Job description

Role: AWS Data Engineer (Python, Dataiku) 

Location: SFO, CA – Hybrid

Job Brief

 As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data scientists, and other team members to ensure data quality and integrity while optimizing data storage solutions for performance and cost-efficiency. This role requires leveraging AWS native technologies and Databricks for data transformations and scalable data processing.

Responsibilities

  • Lead and support the delivery of data platform modernization projects.
  • Design and develop robust and scalable data pipelines leveraging AWS native services.
  • Optimize ETL processes, ensuring efficient data transformation.
  • Migrate workflows from on-premise to AWS cloud, ensuring data quality and consistency.
  • Design automations and integrations to resolve data inconsistencies and quality issues 
  • Perform system testing and validation to ensure successful integration and functionality.
  • Implement security and compliance controls in the cloud environment.
  • Ensure data quality pre- and post-migration through validation checks and addressing issues regarding completeness, consistency, and accuracy of data sets.
  • Collaborate with data architects and lead developers to identify and document manual data movement workflows and design automation strategies.

 

Skills and Requirements

  • 7+ years of experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift).
  • Experience in the design and development of robust and scalable data pipelines leveraging AWS native services.
  • Proficiency in leveraging Snowflake for data transformations, optimization of ETL pipelines, and scalable data processing.
  • Experience with streaming and batch data pipeline/engineering architectures.
  • Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on AWS.
  • Hands-on experience with Databricks and a willingness to grow capabilities.
  • Experience with data engineering and storage solutions (AWS Glue, EMR, Lambda, Redshift, S3).
  • Strong problem-solving and analytical skills.
  • Knowledge of Dataiku is needed
  • Graduate/Post-Graduate degree in Computer Science or a related field.