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Data Engineer Remote Contract Jobs in Philadelphia, PA

QVC

Data Engineer

West Chester, PA · Remote

$108K - $130K/yr

Your Opportunity, Your Team The Data Engineer supports QVC and will collaborate with an Agile team ... Where You'll Work This role is remote; job seekers must reside in one of the following states to be ...

Arbor

Data Engineer

Philadelphia, PA · Remote

$117K - $140K/yr

... data contracts and schema standards that make our Snowflake environment trustworthy as we scale ... What You Bring 3-6+ years of experience in a data engineering or analytics engineering role ...

IntegriChain

Sr Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

Help establish standards for data contracts, schema evolution, data quality, lineage, and data ownership. MDM / Reltio Data Engineering Enablement * Design and build data pipelines that load source ...

Mondo

SIEM Engineer

Wilmington, DE · Remote

$75 - $80/hr

SIEM Engineer, REMOTE Start date is ASAP for this 3 to 6 month contract position. Job Title: SIEM ... Configure and maintain Data Collection Rules (DCRs) using the Azure Monitor Agent (AMA) to collect ...

Pae

Project Engineer - Remote (GRAD)

Philadelphia, PA · On-site +1

Data entry, review, and process project forms & deliverable documents * Maintain project trackers ... Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract ...

Mondo

Cloud Platform DevOps Engineer

Elsmere, DE · Remote

$80 - $90/hr

Apply now: Cloud Platform DevOps Engineer, Remote/Hybrid. Start date is ASAP for this contract position. Job Title: Cloud Platform DevOps Engineer Location-Type: East Coast Remote/Hybrid to ...

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All JobsData Engineer Contract JobsData Engineer Remote Contract JobsData Engineer Remote Contract Jobs in Philadelphia, PA

Data Engineer Remote Contract information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

How much do data engineer remote contract jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data engineer remote contract 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 remote contract?

A Data Engineer Remote Contract position involves building and maintaining the infrastructure and systems that enable organizations to collect, store, and analyze large amounts of data, all while working remotely. As a contractor, you are typically hired for a specific project or period and are not a permanent employee. This role often includes tasks like designing data pipelines, optimizing database performance, ensuring data quality, and collaborating with data scientists and analysts. Working remotely provides flexibility in location, but contractors are expected to communicate regularly with teams and meet project deadlines.

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

To thrive as a Data Engineer in a remote contract position, you need strong programming skills (such as Python or Java), deep knowledge of database systems, and a background in computer science or a related field. Proficiency with data pipeline tools (like Apache Airflow), cloud platforms (such as AWS or Azure), and ETL processes, along with relevant certifications, is highly valued. Excellent problem-solving abilities, clear communication, and self-motivation are key soft skills, especially when working independently or with distributed teams. These skills ensure the reliable design, development, and maintenance of scalable data systems, which are critical for organizations to leverage data effectively.

What are some common challenges faced by data engineers working remotely on contract assignments?

Data Engineers working remotely on contract assignments often navigate challenges such as aligning with distributed teams across different time zones, ensuring secure access to sensitive data, and maintaining clear communication with stakeholders. Since contractors may work with diverse tech stacks across projects, adapting quickly to new tools and company-specific data infrastructures is essential. Additionally, balancing multiple deliverables and onboarding efficiently without in-person support requires strong self-management and proactive collaboration skills.

What is the difference between Data Engineer Remote Contract vs Data Analyst Remote Contract?

AspectData Engineer Remote ContractData Analyst Remote Contract
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, collaborative teams, cloud platformsRemote, reporting and visualization tools
Employer & Industry UsageTech, finance, healthcareMarketing, retail, consulting
Common Search & ComparisonYesYes

The main difference between Data Engineer Remote Contract and Data Analyst Remote Contract lies in their focus and skill sets. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in cloud platforms and programming. Data Analysts interpret data, create reports, and visualize insights. Both roles are remote and industry-specific, but they serve different functions within organizations.

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

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

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

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

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

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

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

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

Data Engineer Remote Contract jobs near you
Infographic showing various Data Engineer Remote Contract job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $130,895 per year, or $62.9 per hour.

Data Engineer

QVC

West Chester, PA • Remote

$108K - $130K/yr

Full-time

Medical, Retirement, PTO

Re-posted 16 days ago

QVC rating

6.0

Company rating: 6.0 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

Job description

Working at QVC Group means joining a live social shopping company with incredible teams, ambitious projects and amazing careers. QVC Group, Inc. is a Fortune 500 company with six leading retail brands - QVC, HSN, Ballard Designs, Frontgate, Garnet Hill and Grandin Road.

Your Opportunity, Your Team

The Data Engineer supports QVC and will collaborate with an Agile team to build data pipelines and models, exposing analytics through APIs and dashboards. Your work will drive data-driven decision-making and personalization, while shaping both back-end data structures and how insights are delivered.

Where You'll Work

This role is remote; job seekers must reside in one of the following states to be considered: PA, NJ, DE. Relocation assistance is not available for this role.

What You'll Do

  • Design data architecture, models, APIs, and pipelines aligned with data architecture principles and team goals.

  • Solve complex data challenges to deliver insights that drive outcomes.

  • Create data products for analytics and data science teams to improve their productivity and insights.

  • Lead the evaluation, implementation, and deployment of new tools for analytics data engineering.

  • Develop and deliver plans on analytic data engineering capabilities and standards.

  • Partner with product teams and solution architects to develop scalable, reliable technical architectures.

  • Mentor peers through code reviews, collaboration, and technical coaching.

  • Explore and learn about machine learning, data science, AI, and personalization technologies to evolve our approach.

What You'll Bring

  • Bachelor's degree in Computer Science or related field, or equivalent experience

  • 4+ years of software development and design experience with emphasis on data warehousing, ETL, and database design.

  • Experience developing data engineering processes and SQL proficiency.

  • Experience using Azure tools (Databricks, Data Factory, Delta Lake, Synapse, ADLS, PySpark, SQL Server, Databricks Notebooks).

  • Experience transforming, cleansing, and ensuring quality of large-scale data sets.

  • Knowledge of modern data architecture, application landscapes, and CI/CD tools (e.g., Azure DevOps).

  • Experience in data warehouse design (e.g., slow changing dimensions, partitioning, indexing) and AI-driven personalization models.

  • Familiarity with Agile (Scrum), distributed systems, and 247 production environments.

  • Understanding of compliance, regulations, and data governance in tech environments.

#LI-AZ1

Our Total Rewards package includes benefits you'll love such as competitive compensation, paid time off, an employee assistance program, parental leave, paid volunteer hours, and amazing company discounts! In our US market, you can also expect health care benefits starting on day 1, 401(k), and tuition reimbursement benefits.

QVC Group is committed to inclusion and belonging for all and ensuring that our workplace provides equal employment opportunities for all team members and candidates and complies with all applicable federal, state, and local laws and regulations. As an equal opportunity employer, QVC Group is committed to a barrier-free employment process. If you need reasonable accommodations/support throughout, please contact us at workwithus@qvcgrp.com for assistance.

If provided, salary ranges are a general guideline only, and actual salaries will vary and are based on factors such as a candidate's qualifications, skills, experience, and geographic location as well as business and market conditions.

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