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Data Engineer Relocation Jobs in Weirton, WV (NOW HIRING)

Relocation assistance will not be provided. An excellent career opportunity is currently available ... data needs. * Ensure code quality & standards by conducting code reviews , establishing best ...

Aires (www.aires.com) has been providing best-in-class relocation management services for over 40 ... data needs. * Ensure code quality & standards by conducting code reviews , establishing best ...

Quality Engineer

Weirton, WV · On-site

$70K - $90K/yr

Relocation assistance is available. What you'll do: * Work closely with Design/Manufacturing ... Proficiency with data analysis tools such as JMP, R, Minitab, or equivalent * Ability to manage ...

Candidates must be willing and able to relocate as part of the role. Responsibilities/Expectations ... gas, data centers or related industry * Preferred: Master's degree in electrical engineering

This is a hands-on, data-driven role that requires a blend of process discipline and a continuous ... Relocation assistance is available. What you'll do: * Own MRB Cage Performance: Maintain near-zero ...

Relocation assistance is available. What you'll do: * Take end‑to‑end accountability for major ... Synthesize complex test data into clear, actionable engineering reports and leadership dashboards ...

MES Engineer

Weirton, WV · On-site

$110 - $150/hr

Relocation assistance is available. What you'll do * Lead Floor-Level Software Sustaining: Manage a ... Industrial Software & Data Expertise: Proven ability to maintain and manage enterprise scale ...

New

We have access to a wide variety of cyber-related data, including malware samples, NetFlow data ... Qualify for relocation assistance and so much more. Location Arlington, VA, Pittsburgh, PA Job ...

Showing results 21-40

Data Engineer Relocation information

See Weirton, WV salary details

$43.4K

$126.6K

$173.3K

How much do data engineer relocation jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineer relocation in Weirton, WV is $126,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $134,200.00 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.

Infographic showing various Data Engineer Relocation job openings in Weirton, WV as of August 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $126,625 per year, or $60.9 per hour.

Assistant AI Security Software Engineer

Software Engineering Institute

Pittsburgh, PA • On-site

Full-time

Retirement

Re-posted 28 days ago


Job description

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of Assistant AI Security Software Engineer. Established in response to the Morris worm, CERT has been a leader in cybersecurity research, advancing the resilience of software systems and responding to sophisticated cyber threats. As AI becomes central to critical infrastructure, advancing its security and resilience offers a compelling opportunity to shape the future, impacting support of the national security mission.
Our team researches and develops tactics, techniques, and procedures necessary for the field of AI security. Our work includes experimental designs for large-scale AI security research programs, AI red teaming, and counter AI applications. Additionally, we work in generative AI and large language models, data visualization, security analysis of AI systems, and adversarial machine learning. We have access to a wide variety of cyber-related data, including malware samples, NetFlow data, cyber security training runs and tests, incident tickets, and more.
Artificial Intelligence Security Software Engineers at the SEI use software and machine learning engineering practices, data processing, and data analytics to help our researchers solve AI security challenges. In this role, you will work with our researchers and customers to develop machine learning based prototypes, products, and tools to solve and automate solutions to AI Security problems. You'll get a chance to work with elite AI and cyber security professionals and university faculty to build new technologies that will influence national AI and cyber security strategy for decades to come.
Key Responsibilities
  • Develop machine learning-based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment
  • Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences
  • Apply software engineering best practices to build scalable, maintainable systems, grounded design principles
  • Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills
  • Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset
  • Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team

Minimum Qualifications
  • BS in computer science, machine learning, cybersecurity, statistics, or related discipline.
  • Understanding of software engineering principles and system design.
  • Experience with containerization and microservices architectures.
  • Travel to various locations to support the SEI's overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%).
  • You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance.

Preferred Qualifications
  • Experience applying statistical modeling and advanced data analytics techniques
  • Background in developing AI/ML solutions in real-world settings
  • Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis)
  • Experience and knowledge in cybersecurity best practices
  • Demonstrated ability to quickly learn and adapt to new technologies and domains

Why Join Us
  • Contribute to a world-class organization with significant impact on software and national security
  • Work with cutting-edge technologies alongside leading experts in AI, cybersecurity, and software engineering
  • 8% employer retirement contribution (no employee contribution required)
  • Tuition benefits for employees and their dependent children
  • Flexible work arrangements and strong work-life balance
  • Paid parental and military leave
  • Professional development opportunities, including conference attendance and certifications
  • Qualify for relocation assistance and so much more.

Location
Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
SalaryMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance