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Data Engineer Relocation Jobs in Philadelphia, PA

Epicor

Data Scientist

Bensalem, PA · Hybrid

You will work with data scientists, engineers, product teams, and subject-matter experts to explore ... Comprehensive support for international relocations and permanent residency processes. Equal ...

Worky

Software Engineer - AI Development

North Wales, PA · On-site

$87K - $137K/yr

Cloud Computing * Data Engineering * Data Visualization * Design Applications * Emerging ... No relocation VISA Sponsorship: No Travel Requirements: 10% Flexible Work Arrangements: Hybrid ...

Hire Tech Services

MicroStrategy Developer

Media, PA · On-site

Media, PA -- Onsite 4 days/week Contract: 6 months, with possibility of extension Relocation ... Integrate and validate data from multiple sources to ensure reporting accuracy and consistency.

Amazon

Data Center Technician

Fairless Hills, PA

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job ...

Amazon

Data Center Technician

Fairless Hills, PA · On-site

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job ...

Amazon

Data Center Technician

Fairless Hills, PA

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job ...

Amazon

Data Center Technician

Fairless Hills, PA · On-site

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job ...

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Showing results 41-60

All JobsData Engineer Relocation JobsData Engineer Relocation Jobs in Philadelphia, PA

Data Engineer Relocation information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

How much do data engineer relocation jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data engineer relocation in Philadelphia, PA is $130,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 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 are popular job titles related to Data Engineer Relocation jobs in Philadelphia, PA?

For Data Engineer Relocation jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Relocation jobs in Philadelphia, PA look for?

The top searched job categories for Data Engineer Relocation jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Data Engineer Relocation jobs?

Cities near Philadelphia, PA with the most Data Engineer Relocation job openings:

Data Engineer Relocation jobs near you
Infographic showing various Data Engineer Relocation job openings in Philadelphia, PA 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 $130,895 per year, or $62.9 per hour.

Data Scientist

Bensalem, PA • Hybrid

Epicor
See more jobs at Epicorexternal

Full-time

Posted 6 days ago

Job description

As a Data Scientist at Epicor, you will help turn data into meaningful insights that support product and business decisions. You will work with data scientists, engineers, product teams, and subject-matter experts to explore data, develop analytical solutions, and communicate findings to stakeholders. You will have opportunities to strengthen your technical skills while contributing to customer-facing analytics and data-driven initiatives. We are seeking applicants with a strong analytical foundation, working knowledge of Python and SQL, and an interest in solving practical business problems with data.What you will be doing:
  • Analyze structured and unstructured datasets to identify trends, answer business questions, and support data-informed decision-making.
  • Develop, test, and refine statistical and analytical models with support from more experienced team members.
  • Contribute to analytics capabilities aligned with product roadmaps, customer needs, and defined business use cases.
  • Partner with data warehouse engineers, data engineers, product teams, subject-matter experts, and other stakeholders to develop end-to-end analytical solutions.
  • Prepare, clean, transform, and validate data for analysis, modeling, reporting, and experimentation.
  • Evaluate new data sources and analytical methods that may support product or business needs.
  • Document analytical approaches, communicate findings, and support the deployment and ongoing improvement of data science solutions.
What you will likely bring:
  • 2-4 years' experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional experience.
  • Working knowledge of Python and SQL for data analysis, data preparation, modeling, and visualization.
  • Understanding of statistical methods, model evaluation, and analytical problem-solving.
  • Experience working with datasets to identify patterns, test hypotheses, and communicate actionable findings.
  • Familiarity with database concepts, data warehousing, or data-processing workflows.
  • Strong written and verbal communication skills, with the ability to explain findings to technical and nontechnical stakeholders.
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field, or equivalent practical experience.
What could set you apart:
  • Coursework, academic projects, certifications, or early professional experience involving artificial intelligence, machine learning, or generative AI.
  • Experience using Python libraries such as pandas, NumPy, scikit-learn, or similar analytical tools.
  • Exposure to AI or machine-learning tools, frameworks, application programming interfaces, or cloud-based AI services.
  • Experience applying AI or machine learning to practical business, product, or customer use cases.
  • Exposure to R or other data science and statistical tools.
  • Experience with data-visualization or business-intelligence tools such as Power BI, Tableau, or MicroStrategy.
  • Familiarity with cloud data platforms, distributed data-processing environments, or production analytics workflows.

#LI-HYBRID #LI-MB2

About Epicor

At Epicor, we're truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.

We're Proactive, Proud, Partners.


Whatever your career journey, we'll help you find the right path. Through our training courses, mentorship, and continuous support, you'll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we're the essential partners for the world's most essential businesses-the hardworking companies who make, move, and sell the things the world needs.

Competitive Pay & Benefits

  • Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.

  • Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.

  • Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.

  • Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.

  • Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.

  • Global Mobility: Comprehensive support for international relocations and permanent residency processes.

Equal Opportunities and Accommodations Statement

Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you-that's who we're interested in. If you have interest in this or any role- but your experience doesn't match every qualification of the job description, that's okay- consider applying regardless.

We are an equal-opportunity employer.

Range:

Minimum: $94,000 USD Maximum: $151,000 USD

The salary range provided reflects the national average for this job title and does not represent compensation specific to Epicor Software Corporation. Actual compensation will vary based on experience, qualifications, and market factors relevant to the position.

Recruiter:

Matthew Brady

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