Analytics Engineer Jobs in New Jersey
Analytics Engineer jobs in New Jersey are in strong demand, with openings concentrated in financial services, pharmaceuticals, and enterprise technology across seniority levels from entry-level through principal and staff engineer. The most active hiring metros are Newark, Jersey City, and Princeton, where major employers including Johnson & Johnson, Prudential Financial, and Cognizant maintain large analytics and data organizations. The most sought-after specializations in New Jersey listings include data pipeline development, dbt and cloud warehouse implementation, and business intelligence infrastructure. Find a role that fits below and apply directly.
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Make your mark at Comcast - a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)
Job Summary
Join Comcast's National Traffic and Capacity Management (NTCM) team as a Data Engineer III and help build trusted data solutions that support network capacity planning and optimization across next-generation products, including EOHFC, EPON vBNG, and FDX. In this role, you will build and maintain scalable data pipelines, BI and Planning applications, and automated quality check processes that enable forecasting, analysis, and operational decision-making. You will work across data engineering, analytics, and applied AI, with opportunities to support machine learning models, AI-assisted analysis, and workflow automation.
Job Description
This position is ineligible for visa sponsorship. To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.
- Design, develop, test, deploy, and support scalable data applications, planning tools, APIs, and data pipelines for network capacity planning and analysis.
- Build and optimize ELT and ETL processes across batch and streaming datasets.
- Develop automated data-quality checks, anomaly detection, master data management, metadata management, lineage, and monitoring processes.
- Develop, tune, and fine-tune machine learning and AI models; evaluate model performance and integrate models into production data applications and workflows.
- Develop automation for recurring workflows, including orchestration, validation, monitoring, and issue notification. Provide system documentation.
- Perform ad hoc data analysis and support AI-assisted insight generation.
- Optimize and monitor data-intensive processes and applications; identify and resolve performance, scalability, and data-quality issues.
- Create and maintain clear documentation for data pipelines, software specifications, system designs, processes, and support procedures.
- Apply sound practices for versioning, testing, privacy protection, cybersecurity, regulation compliance, governance, responsible AI and monitoring of data and AI solutions.
- Collaborate with network engineering, product, operations, software development and data science partners to translate requirements into reliable technical solutions.
- Adapt quickly to evolving business priorities, balancing multiple initiatives while maintaining solution quality and delivery commitments.
- Proactively identify risks, dependencies, and opportunities for improvement, escalating issues early and driving resolutions independently.
Skills & Qualifications
- Strong proficiency in SQL and Python or similar programming languages, with experience in data engineering, data quality, data product development or application development and data analytics.
- Hands-on experience building production data applications using AWS, Databricks, Spark, or comparable cloud and distributed-processing technologies.
- Deep experience building, monitoring, and optimizing large scale data pipelines and data-intensive applications.
- Working knowledge of machine learning workflows, including model development, deployment, evaluation, and monitoring.
- Familiarity with ML or data science models, AI-enabled analytics, LLM, RAG applications, AI agents, or model tuning and fine-tuning workflows.
- Experience with system design, data architecture design, integration, version control, CICD, testing, deployment, and production support.
- Experience with business intelligence tools such as Tableau or Power BI for reporting and data visualization, EDA, data analysis.
- Knowledge of metadata management, lineage tracking, data-quality frameworks, anomaly detection, testing, and monitoring practices.
- Familiarity with workflow orchestration tools such as Airflow or similar technologies is a plus.
- Familiarity with networking, telecommunications, capacity management, or network deployment is preferred.
- Strong analytical and problem-solving skills, including the ability to debug complex data issues and performance bottlenecks.
- Demonstrated ownership and accountability for design, development, testing, deployment, documentation, and ongoing support.
- Ability to learn new technologies quickly and communicate effectively across technical and business teams.
Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Skills:
Data Pipelines; Cloud Software; Artificial Intelligence (AI); Data Science; Critical Thinking; AI Agents; Communication
Salary:
Pay Range: This job can be performed in New Jersey with a Pay Range of $108,578.72 - $162,868.08
Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.
Education
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
5-7 Years
See All 7 Analytics Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Analytics Engineer JobsAnalytics Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Analytics Engineer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring


Top Industries Hiring
- Transportation & Logistics
What New Jersey Employers Look For
The qualifications that appear most often in analytics engineer jobs across New Jersey.
- Bachelor's degree in computer science, statistics, engineering, or a related quantitative field
- Proficiency in SQL and at least one data transformation tool such as dbt
- Hands-on experience building and maintaining ELT pipelines on cloud platforms like Snowflake or BigQuery
- Familiarity with Python or Scala for data processing and pipeline automation tasks
- Experience with BI tools such as Tableau, Looker, or Power BI for downstream analytics delivery
- Strong communication skills for translating data models into clear outputs for business stakeholders
Analytics Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become an analytics engineer in New Jersey?
Most analytics engineer roles in New Jersey require a bachelor's degree in computer science, data science, statistics, or a related field. There is no state-issued license for this role in New Jersey. Employers typically want hands-on experience with SQL, cloud data warehouses, and transformation tools like dbt. Building a portfolio of pipeline and modeling projects, earning a cloud certification from AWS or Google, and targeting New Jersey's large financial services and pharma sectors are the most direct paths into the role.
How much do analytics engineers make in New Jersey?
Analytics engineers in New Jersey earn a median of about $135,280 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $80,720 for the lowest 10% to over $203,950 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire analytics engineers in New Jersey?
Employers hiring analytics engineers in New Jersey right now include JPMorganChase, EXL, and Remedy, based on current listings on Migrate Mate as of November 2026. New Jersey's concentration of Fortune 500 pharmaceutical and financial services headquarters means many of these openings are with large, established organizations running mature data platforms.
Which New Jersey cities have the most analytics engineer jobs?
Jersey City, Dover, and Newark have the most analytics engineer openings in New Jersey. Jersey City and Newark draw heavy demand from financial services firms with back-office and data operations on the Hudson waterfront, while Princeton anchors a cluster of pharmaceutical and biotech employers whose analytics teams sit close to their research campuses.
Are there remote analytics engineer jobs in New Jersey?
Yes, and more than most fields. Analytics engineering is a desk-based, tool-driven role that translates well to remote work. About 0% of analytics engineer openings tied to New Jersey are remote or hybrid as of November 2026, reflecting how broadly distributed data teams have become since the shift to cloud infrastructure. Pipeline development, data modeling, and documentation work are the parts of the role most commonly performed fully remotely.
How can I get hired as an analytics engineer in New Jersey with little or no experience?
The most realistic entry path is through a junior data analyst or business intelligence analyst role at one of New Jersey's large financial services or pharmaceutical employers, then moving into analytics engineering as you gain pipeline and modeling experience. Companies like Prudential Financial and major consultancies with New Jersey delivery centers run associate data programs that place early-career candidates on analytics teams. A strong portfolio demonstrating dbt models, SQL transformations, and a cloud warehouse project does more than any single credential to overcome a thin resume.
Where can I find and apply to analytics engineer jobs in New Jersey?
You can find and apply to analytics engineer jobs in New Jersey on Migrate Mate, which lists current New Jersey openings updated regularly. Search the available roles, find the ones that match your experience and location preferences, and apply directly to the employers posting them.
See All 7 Analytics Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Analytics Engineer Jobs