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Lead Data Analytics Engineer Jobs in Edison, NJ (NOW HIRING)

Sr. Data Engineer

New York, NY ยท On-site

$130K - $140K/yr

The role also supports ongoing platform performance, data quality, and self-service analytics ... Project Lead, Senior Software Engineer, Software Engineer, etc.). * Experience developing and ...

Data & Analytics Engineer

New York, NY ยท On-site

$170K - $250K/yr

About the role As a Data & Analytics Engineer at Forus, you will build the data foundation that powers how we operate, measure, and grow. You will design and maintain our core data models, pipelines ...

You'll build on your analytical skills to create solutions that process large amounts of data from ... As the tech lead in the team, you will provide technical guidance, prioritizing work, perform hands ...

Data Analytics Engineer

New York, NY ยท On-site

$150K - $225K/yr

You'll build on your analytical skills to create solutions that process large amounts of data from ... As the tech lead in the team, you will provide technical guidance, prioritizing work, perform hands ...

Who We're Seeking Qvest US is seeking an experienced Data & Analytics practitioner to lead our US ... Bachelor's degree in engineering, information systems, computer science, business administration ...

Who We're Seeking Qvest US is seeking an experienced Data & Analytics practitioner to lead our US ... Bachelor's degree in engineering, information systems, computer science, business administration ...

Who We're Seeking Qvest US is seeking an experienced Data & Analytics practitioner to lead our US ... Bachelor's degree in engineering, information systems, computer science, business administration ...

Partner with data engineering, analytics, architecture, and security teams to deliver reliable data ... Mentor and lead a team of data analysts, data stewards, or data management professionals. * Drive ...

Partner with data engineering, analytics, architecture, and security teams to deliver reliable data ... Mentor and lead a team of data analysts, data stewards, or data management professionals. * Drive ...

Who We're Seeking Qvest US is seeking an experienced Data & Analytics practitioner to lead our US ... Bachelor's degree in engineering, information systems, computer science, business administration ...

Who We're Seeking Qvest US is seeking an experienced Data & Analytics practitioner to lead our US ... Bachelor's degree in engineering, information systems, computer science, business administration ...

Who We're Seeking Qvest US is seeking an experienced Data & Analytics practitioner to lead our US ... Bachelor's degree in engineering, information systems, computer science, business administration ...

The Senior Analytics Engineer is a key force multiplier on that mission. Overview of the Role: W ... Lead development of data marts for dashboards, experimentation, ROI analysis, clinical outcomes ...

Lead Data Engineer

Manhattan, NY ยท On-site

$220K - $260K/yr

Overview The Lead Data Engineer on the Nebula team plays a significant technical leadership role in shaping and scaling the data foundation that powers analytics, reporting, AI development, and ...

Lead Data Engineer

Parsippany, NJ ยท On-site

$115K - $138K/yr

The Lead Data Engineer will work across data engineering and analytical responsibilities, with a primary focus on building scalable cloud-native data platforms and supporting financial analytics and ...

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Showing results 1-20

Lead Data Analytics Engineer information

See Edison, NJ salary details

$44K

$128.1K

$186.9K

How much do lead data analytics engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for lead data analytics engineer in Edison, NJ is $128,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $139,800.00 per year, depending on experience, location, and employer.

What does a Lead Data Analytics Engineer do?

A Lead Data Analytics Engineer oversees the design, development, and maintenance of data analytics systems within an organization. They lead teams to build data pipelines, optimize data workflows, and ensure data quality and accessibility for business insights. Their role often involves collaborating with data scientists, analysts, and stakeholders to translate business requirements into technical solutions. Additionally, they are responsible for setting best practices, mentoring team members, and staying updated with emerging technologies in data engineering.

What are the key skills and qualifications needed to thrive as a Lead Data Analytics Engineer?

To thrive as a Lead Data Analytics Engineer, you need advanced expertise in data modeling, statistical analysis, and programming, typically supported by a degree in computer science, statistics, or a related field. Mastery of tools such as SQL, Python, R, cloud platforms (like AWS or Azure), and data visualization software, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer, is highly valued. Strong leadership, problem-solving, and communication skills help you guide teams and translate complex data insights to stakeholders. These competencies are essential for delivering impactful analytics solutions and driving data-driven decision-making within organizations.

How does a Lead Data Analytics Engineer typically collaborate with cross-functional teams?

A Lead Data Analytics Engineer frequently partners with data scientists, business analysts, and software engineers to design and implement scalable analytics solutions. They often act as a bridge between technical teams and business stakeholders, translating business requirements into actionable data models and pipelines. Effective communication and project management skills are crucial in ensuring alignment on goals, timelines, and deliverables. Regular meetings and agile workflows are common, fostering a collaborative environment that supports innovation and timely project delivery.

What is the difference between Lead Data Analytics Engineer vs Data Scientist?

AspectLead Data Analytics EngineerData Scientist
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; certifications like AWS, Azure, or Google CloudBachelor's or Master's in Data Science, Statistics, or related fields; similar certifications
Work EnvironmentFocus on data infrastructure, pipelines, and analytics tools; often in engineering teamsFocus on statistical modeling, machine learning, and data interpretation; often in research or analytics teams
Employer & Industry UsageUsed in tech, finance, healthcare for building data systems and analytics platformsUsed across industries for predictive modeling, research, and insights generation

The main difference is that Lead Data Analytics Engineers primarily focus on building and maintaining data infrastructure and analytics pipelines, while Data Scientists concentrate on analyzing data, creating models, and deriving insights. Both roles require strong technical skills and often overlap, but their core responsibilities differ in scope and focus.

Infographic showing various Lead Data Analytics Engineer job openings in Edison, NJ as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 70% In-person, 3% Hybrid, and 27% Remote job distribution, with an average salary of $128,148 per year, or $61.6 per hour.

Sr. Data Engineer

New York, NY โ€ข On-site

Rugs USA
Retailย โ€ขย 11 - 50 employees

$130K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

About RugsUSA
Since launching in 1998, Rugs USA has established itself as a leading innovative online destination for an extensive variety of high-quality, on-trend area rugs at prices customers won't find anywhere else. Passionate about the impact that the perfect rug brings to a space, we foster close relationships with the designers, artisans, and factories who make our goods, giving us the ability to simplify our business model and deliver exceptional pricing and a vast assortment of styles. By guiding our customers through the rug buying process and offering a curated selection of complementary lighting and accessories, we've become our customers' ultimate secret weapon in bringing their vision of home to life - at any budget.
Position Overview
The Senior Data Engineer designs, builds, and supports RugsUSA's enterprise data warehouse and business intelligence platform. Working closely with business stakeholders and cross-functional teams, this role develops scalable data models and pipelines that support dashboards using the Fivetran, Snowflake, dbt, and Sigma stack to deliver reliable, high-quality data and actionable insights. The role also supports ongoing platform performance, data quality, and self-service analytics across the organization.
This is a hybrid role requiring on-site presence in our Manhattan office 3 to 4 days per week.
Essential Job Functions
Assist External Implementation Partner to stand up data warehouse and business intelligence tools
  • As part of a results-oriented internal team, supported by an external partner, assist with the implementation, maintenance, and support of our Fivetran > Snowflake > dbt > Sigma data warehouse stack to enable the business to make informed decisions.
  • Interact with internal stakeholders to gather/develop functional and technical requirements and translate them into reporting solutions.
  • Provide quality and performant data modeling solutions to RugsUSA cross-functional business units.
  • Work collaboratively with Enterprise Data Analysts, Data Governance Team to help define, develop and implement solutions and provide services for the enterprise data warehouse.
  • Model, design, develop, test and implement the appropriate backend structures needed to meet business visualization and reporting requirements, as defined by the business users.
  • Build aggregate data models. Manage the data flow to be used in dashboards to meet business requirements.
  • Work on data transformation using the ELT tools. Build dimension views and fact tables.
  • Data formatting and processing to build the foundation layer for dashboards and self-service reporting.
  • Manage the steady state data warehouse and BI output.
  • Responsible for requirements gathering and data transformation coding.
  • Troubleshoot data anomalies with key stakeholders.
  • Responsible for daily support of the data warehouse and associated data marts.
  • Coordinate key stakeholders to align with change management processes and to ensure performance, processes, and access are optimal for reporting solutions.
  • Work collaboratively to align business requirements with reporting and analytical solutions.
  • Improve processes regarding data flow and quality to improve data accuracy, viability, and value.
  • Document development for peer reference and knowledge transfer.

You Have
Bachelor's degree in computer science, Computer Engineering, Information Systems or related technical field, followed by a minimum of 2 years of progressively responsible experience in a Software Engineering role (e.g., Project Lead, Senior Software Engineer, Software Engineer, etc.).
  • Experience developing and supporting the Snowflake, Fivetran, and dbt platform stack to ensure performance, process, and access are optimal for the global reporting solution.
  • Experience with dbt as a data modeling tool.
  • Experience with Snowflake Data Warehouse and Medallion Star Schema's data modeling.
  • Experience in technical design of data modeling for Snowflake to support the ongoing Business requirements formulation process for Enterprise Business Analytics operations.
  • Experience supporting data analytics, reporting, or business intelligence functions within the retail or e-commerce industry is preferred but not required.
  • Experience with data governance practices, including data quality standards, access controls, and metadata management within a Snowflake environment.
  • Experience building and maintaining semantic layers with Snowflake (e.g., dbt semantic layer, Snowflake views) to enable consistent, governed self-service reporting.
  • You have been using AI Coding to accelerate your Data Engineering Workflows and business with AI enabled solutions via Snowflake, Claude Enterprise or AWS Agents
  • Demonstrated knowledge of the following:
  • Snowflake Data warehouse architecture, including dimensional modeling, ELT design, and Snowflake-based cloud data platforms.
  • Fivetran data integration replication for data ingestion.
  • SQL and strong data transformation.

Preferred Skills
The ideal candidate is a hands-on data builder with strong SQL, Snowflake, dbt, and Fivetran expertise, able to turn business needs into clean, scalable data models, reliable pipelines, and sharp self-service dashboards. They bring a strong grasp of data warehouse architecture, governance, quality, and performance, paired with the communication skills to partner with stakeholders, troubleshoot issues quickly, and assist in delivering trusted insights that help the business move faster.
Your Life and Career at RugsUSA
  • A culture that promotes a healthy work/life balance
  • Benefits package offered to all eligible full-time employees (including medical, dental, vision, PTO, 401(k)
  • Exposure to career advancement opportunities across all departments
  • Generous employee discount that can be used across our house of brands!

Work Authorization
Applicants must be legally authorized to work in the United States.
Equal Employment Opportunity
RugsUSA, LLC is an equal opportunity employer following applicable federal, state, and/or local laws.
The pay range for this role is:
130,000 - 140,000 USD per year (Manhattan Office)