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

Sr Talend Data Engineer

Pittsburgh, PA · Hybrid

$111K - $133K/yr

... relocation eligible. At Citizens, we're more than a bank. Here, you'll experience new things ... Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.

Sr Talend Data Engineer

Pittsburgh, PA · Hybrid

$111K - $133K/yr

... relocation eligible. At Citizens, we're more than a bank. Here, you'll experience new things ... Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.

Lead Electronics Engineer

Coraopolis, PA · On-site

$105K - $154K/yr

Relocation offered. This position reports to the Engineering Manager, Embedded Electronics Center ... Analyze test data to verify design margins and drive necessary design iterations to meet ...

Lead Electronics Engineer

PA · On-site

$105K - $154K/yr

Relocation offered. This position reports to the Engineering Manager, Embedded Electronics Center ... Analyze test data to verify design margins and drive necessary design iterations to meet ...

Data and Analytics Engineer 2

Pittsburgh, PA

$111K - $133K/yr

Candidates must be local or willing to relocate to the area. FNB will not provide sponsorship for ... Data and Analytics Engineer 2 Business Unit: Technology Reports to: Manager of Data and Analytics ...

Artificial Intelligence Engineer

Pittsburgh, PA · Hybrid

$111K - $133K/yr

Aires (www.aires.com) has been providing best-in-class relocation management services for over 40 ... Conducts data analysis, preprocessing, training, testing, validating and feature engineering to ...

Artificial Intelligence Engineer

Pittsburgh, PA · On-site

$109K - $132K/yr

Aires (www.aires.com) has been providing best-in-class relocation management services for over 40 ... Conducts data analysis, preprocessing, training, testing, validating and feature engineering to ...

Artificial Intelligence Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Aires (www.aires.com) has been providing best-in-class relocation management services for over 40 ... Conducts data analysis, preprocessing, training, testing, validating and feature engineering to ...

... data?driven and software?based solutions, including model integration, validation, and deployment ... The employee will have to relocate, but travel is not required from any particular location.

... data?driven and software?based solutions, including model integration, validation, and deployment ... The employee will have to relocate, but travel is not required from any particular location.

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Showing results 1-20

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 Sep 2, 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.

Sr Talend Data Engineer

Citizens

Pittsburgh, PA • Hybrid

$111K - $133K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Description

4 Days in the office from any of our locations in RI,  Iselin NJ, MA, Pittsburgh PA, Nashville TN, and couple other locations

Role is not relocation eligible. 

At Citizens, we're more than a bank. Here, you'll experience new things, create new opportunities, think beyond your role and make an impact!

While in this position, you will work independently while engaging in the design, model and implementation of enterprise data warehousing activities in support of projects and defect remediation process. You will also, participate in and lead segments in the programming and configuration of warehouses on database, and provide independent support to warehouse users. You will also assist with designing, implementing and supporting solutions that meet business requirements related to data warehouses, data marts or operational data stores primarily using ETL. Lastly, you will work with application architects to implement enhancements to systems and remediate existing code.

Most importantly, you'll feel valued for who you are and supported to achieve what's important to you, personally and professionally!

Primary responsibilities include

  • Be a strong contributor in implementing data integration architecture and solutions.
  • Conduct source system/data analysis and data profiling.
  • Build robust data pipelines to collect, process and compute different metrics from various financial sources, adhering to quality and development standards.
  • Design application architecture / technical design and articulate the data pipeline solutions to team members.
  • Data mapping from source to target and define transformation rules that meet the models created by data Architects.
  • Collaborate with cross functional team members as necessary and come up with optimal solutions that meet data demands.
  • Execute unit test of data populated in target data container, validate expected result and ensure quality & accuracy.
  • Coordinate with business users for user acceptance test and with operations team for code deployment to upper environments.
  • Follow change management team stipulations on path to production requirements and strictly adhere to the compliance and regulatory needs.

Qualifications, Education, Certifications and/or Other Professional Credentials

  • Required Qualifications
    • Bachelor's Degree in Analytics, Mathematics, Statistics or Computer Science
    • Hands on experience in building data solutions in big data / cloud platforms.
    • Experience with Hadoop ecosystem (HDFS, Hive, PIG, Hbase, Hiveql etc.)
    • Experienced in ETL/ELT tools such as Talend, Datastage, Informatica, and Sqoop as well as building/enhancing ETL framework.
    • RDBMS experience in either of Teradata, Oracle, MS-SQL, DB2, RedShift, Snowflakes, etc.
    • Scripting language (shell scripting, SQL, PL/SQL, Python, Java , Spark, Scala)
    • Experience with AWS cloud native services such as S3, RDS, Glue, Athena, etc.
    • Worked with any of the scheduling tools (Autosys, Tidal, Oozie)
    • SCM tool such as Bitbucket with Jira, Starteam or SVN.
    • Experience working with various operating systems (Windows, Unix/Linux, IBM Mainframe)
    • Strong communicator and collaborator with attention to details.
    • Performance tuning and optimization of code and peer code reviews.
    • 5+ years of professional work experience as described above.
  • Preferred Qualifications
    • BigData Technology/AWS/Agile Certifications
    • Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.)
    • Experience in the financial services industry, especially banking.
    • Business Intelligence/Reporting development experience using tools such as Tableau, Cognos, SAS, etc.
    • Code commits to any Open source data tools.
    • Experience with handling structured, semi-structured and unstructured data.

Hours & Work Schedule

  • Hours per Week: 40 
  • Work Schedule: Monday - Friday
  • Hybrid schedule: 4 days in office, 1 day WFH is required for this role.

    Pay Transparency 

    The salary range for this position is $ 105,100 - $ 157,680 per year plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.   

    We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits. 

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST