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Remote Data Engineering Jobs in Philadelphia, PA

First Citizens Bank

Lead Data Engineer

Trenton, NJ · Remote

$157K - $223K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Responsible for all phases of data processing system projects, from requirements definition to ...

First Citizens Bank

Lead Data Engineer

Trenton, NJ · Remote

$157K - $223K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Responsible for all phases of data processing system projects, from requirements definition to ...

YO AI Labs

Product Owner - Remote

Philadelphia, PA · Remote

$120 - $200/hr

Remote Role Summary We are seeking a strong Product Owner to work with engineering, data, and ... Experience with AI, data, developer tools, or technology products is highly relevant. What You'll ...

New

ICS Corporation

Direct Mail Programmer

Thorofare, NJ · On-site +1

$70K - $100K/yr

This position is ideal for a candidate with strong experience in both data processing and mail ... However, we are open to a hybrid in-office/remote arrangement for the right candidate, and we may ...

ICS Corporation

Direct Mail Programmer

West Deptford, NJ · On-site +1

$70K - $100K/yr

This position is ideal for a candidate with strong experience in both data processing and mail ... However, we are open to a hybrid in-office/remote arrangement for the right candidate, and we may ...

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Showing results 41-60

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Philadelphia, PA

Remote Data Engineering information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

How much do remote data engineering jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote data engineering 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 remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data engineer?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Philadelphia, PA?

The most popular types of Data Engineering jobs in Philadelphia, PA are:

What are popular job titles related to Remote Data Engineering jobs in Philadelphia, PA?

For Remote Data Engineering jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineering jobs in Philadelphia, PA look for?

The top searched job categories for Remote Data Engineering jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote Data Engineering jobs?

Cities near Philadelphia, PA with the most Remote Data Engineering job openings:

Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Philadelphia, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $130,895 per year, or $62.9 per hour.

AI Consulting Expert - Remote

YO AI Labs

Philadelphia, PA • Remote

$100 - $200/hr

Part-time

Posted 28 days ago

Job description

Job Title: AI Consulting Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Consulting Domain Experts to contribute their consulting expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated business content, helping enhance the quality, accuracy, and reasoning of AI outputs. No prior AI experience is required—your consulting expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Evaluate and refine AI-generated responses for accuracy, clarity, and alignment with business objectives.
  • Author, review, and enhance strategy reports, market analyses, business cases, executive summaries, and technical documentation.
  • Develop, refine, and evaluate prompts for AI models.
  • Conduct quality assurance and rubric-based evaluations of AI-generated outputs.
  • Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.
  • Provide actionable feedback and recommendations to improve AI model performance.
  • Collaborate remotely with project teams to support continuous AI improvement.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical & Report Writing
  • Business Communication
  • Content Review & Editing
  • Data Interpretation
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in strategy consulting, management consulting, corporate strategy, business transformation, or operations.
  • Experience preparing strategy reports, business cases, market analyses, client presentations, or executive recommendations.
  • Strong professional writing, business communication, and technical editing skills.
  • Excellent critical thinking, analytical reasoning, and structured problem-solving abilities.
  • Bachelor's degree or equivalent professional experience required; an advanced degree (Master's, MBA, JD, or PhD) is a plus.
  • Candidates with strong academic or professional achievements are encouraged to apply