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Remote Data Engineer Jobs in Levittown, PA (NOW HIRING)

Arbor

Data Engineer

Philadelphia, PA · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

IntegriChain

Sr Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

Work with Product, Engineering, MDM, Data Science, DevOps, Security, and business stakeholders to align data solutions to enterprise priorities. * Modern ELT execution: Use dbt or similar ELT tooling ...

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 ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Levittown, PA

Remote Data Engineer information

See Levittown, PA salary details

$42.8K

$124.6K

$170.6K

How much do remote data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote data engineer in Levittown, PA is $124,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $132,100.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

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

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Levittown, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $124,644 per year, or $59.9 per hour.

Data Product Manager / Business Analyst - REMOTE

CGS Business Solutions

Trenton, NJ • Remote

Full-time, Contractor

Posted 4 days ago

Job description

CGS Business Solutions is committed to helping you, as an esteemed IT Professional, find the next right step in your career. We match professionals like you to rewarding consulting or full-time opportunities in your area of expertise. We are currently seeking Technical Professionals who are searching for challenging and rewarding jobs for the following opportunity:

Position Summary

CGS is hiring for one of our long time national Financial Services customer who is seeking a hands on REMOTE Data Product Manager / Business Analyst to support the Director of Enterprise Data in delivering the enterprise data roadmap. This is an individual contributor role that combines product management, business analysis, and project management. You will run intake and prioritization, gather and document requirements, manage the Jira backlog, coordinate sprints, and work day to day with data engineers, BI developers, and business stakeholders to move work from idea to delivery. You will also own documentation for data products, including data dictionaries, source-to-target mappings, process flows, and release notes. This is a U.S.-based contract position. Candidates must be authorized to work in the United States and be available during U.S. business hours.

Location: Remote, USA (EST preferred)

Key Responsibilities

  • Partner with the Director of Enterprise Data to plan, prioritize, and track the enterprise data and analytics roadmap.
  • Run intake for new data, reporting, and integration requests; assess scope, business value, dependencies, and level of effort.
  • Gather and document business requirements and translate them into epics, user stories, and clear acceptance criteria.
  • Own and maintain the Jira backlog: create and groom tickets, manage sprints and boards, track status, and keep work items current and accurate.
  • Facilitate agile ceremonies including backlog refinement, sprint planning, daily standups, demos, and retrospectives.
  • Work directly with data engineers, BI developers, and architects to clarify requirements, unblock issues, and validate delivered work.
  • Create and maintain documentation such as data dictionaries, source-to-target mappings, data flow diagrams, process flows, runbooks, and release notes in Confluence or SharePoint.
  • Support UAT: build test scenarios, coordinate business testing, track defects, and confirm data accuracy before release.
  • Track project timelines, milestones, risks, and dependencies, and provide clear status updates to leadership and stakeholders.
  • Analyze data to answer business questions, validate assumptions, and support requirement decisions using SQL and BI tools.
  • Coordinate across IT, Operations, Finance, Sales, Marketing, and Compliance to align on data definitions, KPIs, and reporting needs.
  • Help define and enforce data governance practices, including data quality standards, ownership, and change management.

    Qualifications

  • Bachelor's degree in Business, Information Systems, Computer Science, Analytics, or a related field.
  • 5+ years of experience as a Business Analyst, Product Owner, Product Manager, or Technical Project Manager supporting data, analytics, or BI teams.
  • Strong hands-on experience administering and managing work in Jira, including boards, workflows, sprints, and reporting.
  • Proven ability to write clear requirements, user stories, and acceptance criteria for data and reporting work.
  • Working SQL skills, with the ability to profile data, validate results, and understand data models independently.
  • Experience with data warehousing and BI concepts such as ETL, data pipelines, dimensional modeling, and dashboard delivery.
  • Strong documentation skills, including process flows, data dictionaries, and source-to-target mappings.
  • Experience working in Agile/Scrum environments alongside developers and engineers.
  • Excellent communication skills, with the ability to translate between business stakeholders and technical teams.
  • U.S.-based contractor authorized to work in the United States.

    Preferred / Nice to Have:

  • Mortgage, lending, banking, or financial services experience, especially loan origination or servicing data.
  • Experience with the Microsoft data stack: Azure Data Factory, Azure Synapse, SQL Server, and Power BI.
  • Experience with Tableau, Salesforce data, or enterprise system integrations and APIs.
  • Experience with Confluence, Azure DevOps, or similar documentation and delivery tools.
  • Familiarity with data governance, data quality, and data cataloging tools such as Azure Purview.
  • Exposure to automation tools such as Power Automate or Logic Apps.

    Soft Skills

  • Organized and detail-oriented, comfortable managing multiple workstreams at once.
  • Proactive and self-directed, able to move work forward with limited hand-holding.
  • Strong facilitator who can keep meetings focused and drive decisions.
  • Collaborative team player who works well with both technical and business partners.

About CGS Business Solutions:
CGS specializes in IT business solutions, staffing and consulting services. With a strong focus in IT Applications, Network Infrastructure, Information Security, and Engineering. CGS is an INC 5000 company and is honored to be selected as one of the Best IT Recruitment Firms in California. After five consecutive Fastest Growing Company titles, CGS continues to break into new markets across the USA. Companies are counting on CGS to attract and help retain these resource pools in order to gain a competitive advantage the rapidly changing business environments.