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Data Engineer Relocation Jobs in Raleigh, NC (NOW HIRING)

AWS Python Data Architect

Raleigh, NC · On-site

$62 - $79.75/hr

Experience in AWS Glue & ETL Engineering - Designing scalable ETL/ELT pipelines using AWS Glue ... This position may require relocation and/or travel to work/project location. * All applicants ...

With over 100 years of innovation in sustainable infrastructure and our expertise in engineering ... Staff Relocation eligible : No Full time/Part time : Full-Time Project Only Hire : No Visa ...

With over 100 years of innovation in sustainable infrastructure and our expertise in engineering ... Staff Relocation eligible : No Full time/Part time : Full-Time Project Only Hire : No Visa ...

With over 100 years of innovation in sustainable infrastructure and our expertise in engineering ... Staff Relocation eligible : No Full time/Part time : Full-Time Project Only Hire : No Visa ...

Electrical Substation Engineer

Cary, NC · On-site

$91K - $116K/yr

Cary, NC 27511-Onsite - Relocation accepted Duration: 12 Months (May convert to full-time in 6 ... Researches and compiles project-related data as required by the project managers. * Supports client ...

AWS Python Data Architect

Raleigh, NC · On-site

$62 - $79.75/hr

... Engineering - Designing scalable ETL/ELT pipelines using AWS Glue, PySpark, and Python. • ... relocation and/or travel to work/project location. • All applicants authorized to work in the ...

... involving data processing, real-time communications, and machine-learning algorithm integration ... Ability to work in Durham, NC (relocation assistance available) * Eligibility for US security ...

Electrical Engineer

Raleigh, NC · On-site

$71K - $105K/yr

Relocation benefits will be provided within the United States only. Eaton's Critical Power and ... Our team supports data centers, businesses, electric vehicle charging stations, and other customers ...

Electrical Engineer

Raleigh, NC · On-site

$71K - $105K/yr

Relocation benefits will be provided within the United States only. Eaton's Critical Power and ... Our team supports data centers, businesses, electric vehicle charging stations, and other customers ...

This role focuses on connecting industrial equipment to the OT network and data platforms in ... No relocation benefit is being offered for this position Only candidates within a 50-mile radius of ...

Division Sales Engineer

Raleigh, NC · On-site

$86K - $126K/yr

Relocation assistance available within the US. The Division Sales Engineer will support pre-sales technical requests and quotations to the Eaton data center sales and agent teams in the assigned ...

Showing results 21-40

Data Engineer Relocation information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do data engineer relocation jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data engineer relocation in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What is a data engineer relocation?

A Data Engineer Relocation refers to the process of a data engineer moving to a new city, state, or country for a job opportunity. Often, companies offer relocation packages or assistance to help data engineers with the costs and logistics of moving. This can include covering moving expenses, temporary housing, and support for settling into a new location. Relocation is common in the tech industry due to the high demand for skilled data engineers in specific regions or at company headquarters.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong skills in data modeling, ETL (Extract, Transform, Load) processes, and proficiency in programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (such as AWS or Azure), and relevant certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help you collaborate effectively and adapt to evolving data needs. These skills ensure robust data pipelines, reliable analytics, and support for organizational data-driven decision-making.

What are some common challenges data engineers face when relocating for a new position?

When relocating for a data engineering role, professionals often encounter challenges such as adapting to new data privacy regulations, integrating with local teams, and understanding company-specific data infrastructure. Adjusting to a different work culture and collaborating across time zones can also require flexibility and strong communication skills. Proactively seeking support from HR and technical onboarding resources can help ease the transition and ensure a smooth start in the new environment.

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

AspectData Engineer RelocationData Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; experience with cloud platformsBachelor's or higher in CS, Data Science, or related; proficiency in SQL, Python, and ETL tools
Work EnvironmentTypically involves relocating to a new city or country; may include remote work optionsUsually based in an office or remote; focuses on data pipeline development
Employer & Industry UsageUsed by companies hiring for international or remote data roles requiring relocationCommon in tech, finance, healthcare industries for data infrastructure roles

In summary, Data Engineer Relocation involves moving to a new location for a data engineering role, often requiring additional logistical planning, while Data Engineer refers to the role itself, which can be based anywhere. Both roles share similar skills and credentials but differ mainly in the relocation aspect.

What job categories do people searching Data Engineer Relocation jobs in Raleigh, NC look for?

The top searched job categories for Data Engineer Relocation jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Data Engineer Relocation jobs?

Cities near Raleigh, NC with the most Data Engineer Relocation job openings:

Infographic showing various Data Engineer Relocation job openings in Raleigh, NC as of September 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 100% In-person job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

AWS Python Data Architect

Raleigh, NC • On-site

Infosys Limited
Business Management Consulting • 10K+ employees

$62 - $79.75/hr

Other

Medical, Retirement

Re-posted 8 days ago


Infosys rating

7.0

Company rating: 7.0 out of 10

Based on 62 frontline employees who took The Breakroom Quiz


Job description

Technology|Cloud Platform|Amazon Webservices Architecture

Technical Skills 2

Technical Skills 3

Technology|Oracle|PL/SQL

Technical Skills 4

Technical Skills 5

Technology|ETL & Data Quality|ETL & Data Quality - ALL

Overview

The Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer experiences, and achieve operational excellence. Join us to be part of a pioneering team that is at the forefront of financial services transformation. You'll have the opportunity to work with cutting-edge AI technologies, collaborate with industry experts, and contribute to transformative projects across banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make a significant impact, the Infosys Financial Services unit is the perfect place for you to grow and excel.

In the assigned Job Role of Architecture Consultant 2, your Area Of Responsibility will be as below:
  • Participate in customer discussions to gather and analyze system requirements for performance, security and scalability.
  • Provide suggestions on solution architecture, contribute to tech framework development, support enterprise architecture definition, and drive design creation
  • Identify suitable technologies and tools available in the market, and perform a comparative analysis in line with client's business requirement, thereby identifying optimal architectural solution options
  • Participate in developing integration strategies based on validation of proof of concept of proposed architectural solutions
  • Facilitate a smooth transition by ensuring knowledge transfer and adherence to quality standards, while contributing to the build and deployment automation strategy
  • Collaborate with development teams to resolve complex technical issues using solution deployment and roll out methods, during build, deployment and support phases
  • Analyze system performance basis architectural solutions implemented and support in identifying potential risks in the system landscape
  • Create artifacts of architectural frameworks and technical solutions, thereby enriching team's knowledge repository
Your contribution to the team:
  • The ability to analyse, design, and develop scalable and secure architectures.
  • A knack for assessing multiple technologies, tools and frameworks to recommend optimal solutions.
  • Understanding of integration methodologies, proof-of-concept validation and deployment strategies.
  • The ability to document architectural frameworks and solutions.
  • Proactive communication with internal teams and clients, ensuring alignment with business objectives.
  • A knack to keep with up technical advancements to ensure relevant and effective recommendations.
  • The ability to maintain standards and ensure smooth transition through knowledge transfer
Required Skill and Experience
  • Experience in AWS Data Platform Architecture – Redesign and modernization of reporting/data warehouse platforms on AWS.
  • Experience in AWS Glue & ETL Engineering – Designing scalable ETL/ELT pipelines using AWS Glue, PySpark, and Python.
  • Experience in Data Warehouse Design – Dimensional modeling, star/snowflake schemas, reporting database optimization, and performance tuning.
  • Experience in Amazon Redshift & S3 – Expertise in cloud-native analytics and data lake architectures.
  • Experience in Semantic Layer Design – Building business-friendly semantic models for reporting and self-service analytics.
  • Experience level : 12-15 year’s of experience (STA / Tech Architect)
Preferred Skill and Experience
  • Experience in Advanced SQL & Data Modeling – Data integration, transformation, reconciliation, and governance.
Additional Required Qualifications
  • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • This position may require relocation and/or travel to work/project location.
  • All applicants authorized to work in the United States are encouraged to apply.

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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