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Data Engineering Jobs in Mount Laurel, NJ (NOW HIRING)

Aramark

Director, Data Engineering & AI

Philadelphia, PA · On-site

$150K - $160K/yr

The Director, Data Engineering & AI Enablement is the senior-most technical leader and active builder for the data engineering and artificial intelligence capability supporting the Facilities ...

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Manager, Data Engineering

Philadelphia, PA

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

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Manager, Data Engineering

Philadelphia, PA · On-site

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

CEI

Data Engineer - Databricks, AWS, Python

Philadelphia, PA · Remote

$109K - $131K/yr

Develop, test, and maintain ETL and data engineering jobs that bring data into Databricks and support downstream analytics and reporting. * Work with business and technical stakeholders to understand ...

Judge Group, Inc.

DATA ENGINEER

Conshohocken, PA · On-site

$112K - $135K/yr

Bachelor's in computer science, data engineering, statistics, mathematics, or related fields. 5 years in data visualization, data mining, and analysis using Power BI Proven experience as a Data ...

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All JobsData Engineering JobsData Engineering Jobs in Mount Laurel, NJ

Data Engineering information

See Mount Laurel, NJ salary details

$45.6K

$163.4K

$241.1K

How much do data engineering jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data engineering in Mount Laurel, NJ is $163,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,200.00 and $168,400.00 per year, depending on experience, location, and employer.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Mount Laurel, NJ?

The most popular types of Data Engineering jobs in Mount Laurel, NJ are:

What are popular job titles related to Data Engineering jobs in Mount Laurel, NJ?

For Data Engineering jobs in Mount Laurel, NJ, the most frequently searched job titles are:

What job categories do people searching Data Engineering jobs in Mount Laurel, NJ look for?

The top searched job categories for Data Engineering jobs in Mount Laurel, NJ are:

What cities near Mount Laurel, NJ are hiring for Data Engineering jobs?

Cities near Mount Laurel, NJ with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Mount Laurel, NJ as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $163,421 per year, or $78.6 per hour.

Manager, Data Engineering

Starcom Mediavest Group Germany Gmbh

Philadelphia, PA

$88K - $127K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description

Company Description

PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction, where creativity and storytelling bring truth to life, and where orchestration replaces fragmentation.

Dedicated to making brands discovered, PHM redefines what media can do through data, content, and creativity. Because in modern healthcare, the brands that are found are the ones that lead. And when brands lead, advantage follows. Go deeper. Be found.

Job Description

The Data Manager of Data Engineering will work in a hands-on and supportive role in our Technology and Data Department. This team processes and maintains all the data that flows into our organization and is the face of the agency regarding data needs from HCP publishers.

You will work with internal and external partners, along with industry vendors, to monitor data transfers, perform data QA'ing and maintain documentation. You will also support the Vice President of Data engineering to enforce enterprise-wide data processes and protocols.

Responsibilities
  • Lead a portfolio of data projects across multiple clients
  • Design and manage scalable pipelines, including ingestion from APIs (REST, GraphQL, vendor feeds) and traditional ETL sources
  • Contribute to data architecture decisions to ensure efficient schema design, scalability, and governance across data warehouses and lakehouses
  • Partner with BI, Product, and Media Tech teams to automate data integrations and improve data flow reliability
  • Oversee ETL and metadata management to ensure stability, security, and compliance
  • Present issues, trends, and recommendations to internal and external stakeholders
  • Maintain best practices for handling, storing, and governing data
Qualifications
  • BS in Computer Science, Information Technology, or related field
  • Strong hands-on experience with PySpark (preferred language for data engineering and automation)
  • Proficiency in Python and SQL for data processing and automation
  • Experience building and maintaining API-based data pipelines, including authentication and error handling
  • Solid knowledge of modern data architecture (data modeling, governance, warehouse, lakehouse)
  • Experience with database structures, ETL, and cloud data platforms
  • Technical documentation skills and ability to communicate complex topics in simple, user-friendly terms

Specific Skills Required:

  • Cloud platforms: AWS, Azure, Databricks
  • Data warehouses/lakehouses: Snowflake, Redshift, Databricks Lakehouse
  • BI tools: Tableau, Datorama (preferred)
  • Strong collaboration skills with cross-functional teams
Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

 Compensation Range: USD $88,540.00 - USD $127,155.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/1/2026.Employment Type: FULL_TIME

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