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Remote Data Engineer Government Jobs in Philadelphia, PA

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 ...

Data Engineer

West Chester, PA · On-site +1

$108K - $130K/yr

... for the remote option.) Job Summary We are seeking a Data Engineer to join our Data Product ... Engineering team responsible for managing and evolving the enterprise Data Lake that supports ...

AI Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

... government payer contracting, patient services, and distribution channels. ICyte is the first and ... Mission Join the Data Science team as an AI Data Engineer responsible for building the data ...

Sr Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

... government payer contracting, patient services, and distribution channels. ICyte is the first and ... Hands-on Snowflake engineering: Design, build, optimize, and operate Snowflake data models ...

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 ...

New

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 ...

New

Senior Data Engineer

Cedar Brook, NJ · On-site +1

$104K - $142K/yr

... and government clients. Each partnership brings unique challenges, and we thrive on delivering ... You'llsupport portfolio teams by enabling governance-aligned data engineering practices, ensuring ...

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Showing results 1-20

Remote Data Engineer Government information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

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

As of Aug 26, 2026, the average yearly pay for remote data engineer government 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 the difference between Remote Data Engineer Government vs Remote Data Engineer Corporate?

AspectRemote Data Engineer GovernmentRemote Data Engineer Corporate
CredentialsTypically requires security clearances, government-specific certificationsUsually requires general data engineering certifications like AWS, Google Cloud
Work EnvironmentGovernment agencies, public sector projects, strict compliance standardsPrivate companies, startups, corporate data teams, flexible environments
Employer & IndustryFederal, state, or local government agenciesTech firms, finance, healthcare, retail
Search & Comparison IntentUnderstanding government-specific roles, security requirementsExploring corporate data engineering opportunities

The main difference between Remote Data Engineer Government and Remote Data Engineer Corporate lies in the work environment, required credentials, and industry focus. Government roles often demand security clearances and compliance with strict standards, while corporate roles tend to be more flexible and industry-specific. Both roles require strong data engineering skills but cater to different sectors and operational protocols.

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

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

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

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

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

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

Infographic showing various Remote Data Engineer Government 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.

Data Engineer

West Chester, PA • Remote


QVC
10K+ employees

6.0

Company rating: 6.0 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

Paid breaks

Respectful managers

Uninterrupted breaks


$108K - $130K/yr

Full-time

Medical, Retirement, PTO

Re-posted 24 days ago


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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