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Martech Data Engineer Jobs in Rye, NY (NOW HIRING)

Staffingine LLC

Martech Specialist

New York, NY · On-site

$67K - $92K/yr

Martech Specialist- Google Analytics Job Location: NYC Job Type: Contract * Good experience in ... Work closely with the marketing team digital marketing data Developers to identify opportunities ...

Polymarket

Martech Director

New York, NY · On-site

As Martech Director, you own the full technical and operational layer of our lifecycle program ... lifecycle ops and data engineering. * (Plus) Hands-on experience with AI or programmatic ...

Tatari

Senior Data Engineer

New York, NY · On-site

$170K - $200K/yr

... MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform ... As a Senior Data Engineer in our Reporting and Measure pillar, you will design, build and own the ...

Tatari

Senior Data Engineer

New York, NY · Hybrid

$170K - $200K/yr

... MarTech Breakthrough Awards , as well as honors from Digiday (Best Connected TV Platform ... As a Senior Data Engineer in our Reporting and Measure pillar, you will design, build and own the ...

OneTrust

Senior Solutions Engineer

New York, NY

$60.50 - $78/hr

Lead deep-dive technical workshops with customer engineering, security, data, and martech teams to design the target state and advise on best practices for implementation and rollout * Deliver ...

Feeld

MarTech Manager

New York, NY · Remote

Partner closely with Engineering, Product, and Data teams to enable scalable marketing operations and experimentation * Define and manage the MarTech roadmap, including prioritization, backlog ...

Feeld

MarTech Manager

New York, NY · On-site +1

Partner closely with Engineering, Product, and Data teams to enable scalable marketing operations and experimentation * Define and manage the MarTech roadmap, including prioritization, backlog ...

Fortune

Marketing Data and Analytics Engineer

New York, NY · On-site

$94K - $117K/yr

This is an early and foundational hire on a new martech team - a rare opportunity to define how ... You'll sit at the intersection of data engineering and marketing operations: designing the ...

Feeld

MarTech Manager

New York, NY · Remote

Partner closely with Engineering, Product, and Data teams to enable scalable marketing operations and experimentation * Define and manage the MarTech roadmap, including prioritization, backlog ...

NBCUniversal

Sr. Product Manager, Martech

Manhattan, NY · On-site

$138K - $182K/yr

Comfort operating in a matrixed environment, building alignment across engineering, data, and ... platform, or martech infrastructure environment in a requirements, product, or delivery ...

NBCUniversal

Sr. Product Manager, Martech

New York, NY

$138K - $182K/yr

Comfort operating in a matrixed environment, building alignment across engineering, data, and ... platform, or martech infrastructure environment in a requirements, product, or delivery ...

NBCUniversal

Sr. Product Manager, Martech

Manhattan, NY · On-site

$138K - $182K/yr

Comfort operating in a matrixed environment, building alignment across engineering, data, and ... platform, or martech infrastructure environment in a requirements, product, or delivery ...

Clear Channel Outdoor

Analytics Engineer

New York, NY

$125K - $150K/yr

In this role, you will sit at the intersection of data engineering and business intelligence ... data and other adtech/martech datasets. * Strong ability to manage and execute fast-paced, dynamic ...

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All JobsMartech Data Engineer JobsMartech Data Engineer Jobs in Rye, NY

Martech Data Engineer information

See Rye, NY salary details

$54.6K

$156.3K

$208.7K

How much do martech data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for martech data engineer in Rye, NY is $156,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $207,700.00 per year, depending on experience, location, and employer.

How does a Martech Data Engineer typically collaborate with marketing and analytics teams to achieve business goals?

As a Martech Data Engineer, you will regularly partner with marketing and analytics teams to design, build, and maintain data pipelines that support campaign performance tracking and customer segmentation. You’ll work closely with marketers to understand their data needs and translate them into scalable technical solutions, often attending cross-functional meetings to plan new data integrations or troubleshoot issues. Collaboration also involves ensuring data quality, managing ETL processes, and enabling self-serve analytics by making data accessible and reliable for non-technical stakeholders. This close teamwork helps drive data-driven decision-making and ensures marketing strategies are effectively measured and optimized.

What is a Martech Data Engineer?

A Martech Data Engineer is a technology professional who specializes in building and maintaining the data infrastructure that supports marketing technology (Martech) platforms. They enable the collection, integration, and analysis of marketing data from multiple sources, ensuring data quality and accessibility for marketing teams. Their work helps organizations make data-driven marketing decisions, personalize customer experiences, and measure campaign effectiveness. Martech Data Engineers often collaborate with marketers, analysts, and other engineers to implement data pipelines and optimize marketing operations.

What are the key skills and qualifications needed to thrive as a Martech Data Engineer, and why are they important?

To thrive as a Martech Data Engineer, you need a solid background in data engineering, SQL, and marketing technology platforms, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud data platforms (such as AWS or GCP), and certifications in marketing automation systems like Salesforce or Adobe Experience Cloud are highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help bridge the gap between marketing and technical teams. These skills enable the efficient integration, analysis, and utilization of marketing data, driving better decision-making and campaign performance.

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

AspectMartech Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, marketing tech toolsData visualization, reporting, business insights
Employer & Industry UsageMarketing agencies, tech companies, e-commerceMarketing teams, business intelligence units
Common Search & Comparison IntentUnderstanding technical data roles in marketingAnalyzing marketing data for insights

The Martech Data Engineer focuses on building and maintaining data pipelines and infrastructure for marketing data, while the Data Analyst interprets data to generate insights and reports. Both roles are essential in marketing tech environments but serve different functions within data management and analysis.

What are popular job titles related to Martech Data Engineer jobs in Rye, NY? For Martech Data Engineer jobs in Rye, NY, the most frequently searched job titles are:
What cities near Rye, NY are hiring for Martech Data Engineer jobs? Cities near Rye, NY with the most Martech Data Engineer job openings:
Martech Data Engineer jobs near you

Senior Data Engineer - Data Platform & Martech Engineering

Gen Digital Inc

New York, NY • On-site

$165K - $187K/yr

Full-time

Re-posted 4 days ago

Job description

About Gen:
Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.
Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We're always looking for smart, fearless and high-impact talent who see AI as a teammate - leveraging it to move faster and deliver meaningful results.
When you're part of Gen, you'll have the flexibility, tools and support to do your best work and grow your career - from flexible working options and time off to competitive pay, benefits and well-being programs.
At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You'll work with people who back each other, respect each other and understand that our differences are a competitive advantage.
If this sounds like you, we'd love you to be part of Gen.
About the Role:
We are seeking a highly motivated Senior Data Engineer to join the MoneyLion Data Platform & Martech Engineering team. This role will be responsible for designing, building, and scaling the data foundations that power analytics, customer engagement, marketing activation, AI initiatives, and financial product experiences across the organization.
The ideal candidate combines strong software engineering fundamentals with expertise in data architecture, dimensional modeling, semantic layer design, and modern cloud data platforms. This individual will play a critical role in enabling trusted, governed, and scalable data products while partnering closely with Product, Martech, Analytics, Data Science, and Engineering teams.
As part of a forward-thinking organization, we are looking for engineers who embrace AI-assisted development and are excited about building intelligent systems, automation, and agent-powered solutions that improve business outcomes and engineering productivity.
Key Responsibilities:
  • Design, build, and optimize scalable batch and streaming data platforms, ETL/ELT frameworks, and AI-ready data pipelines supporting analytics, marketing, product, and operational use cases with strong focus on reliability, observability, scalability, and cost optimization.
  • Architect and maintain enterprise-grade data models and semantic layer architectures using Kimball dimensional modeling methodologies, including fact/dimension design, conformed dimensions, slowly changing dimensions (SCDs), star schemas, and governed business metrics.
  • Partner cross-functionally with Product, Martech, Analytics, Data Science, and Engineering teams to translate complex business processes into scalable data contracts, integration patterns, and trusted analytical models supporting attribution, audience intelligence, experimentation, personalization, and data activation.
  • Design and support Martech and customer data infrastructure, including platforms such as Hightouch, Segment, Iterable, Amplitude, and other activation technologies, enabling audience orchestration, customer journey automation, reverse ETL, and real-time marketing use cases.
  • Build and operationalize AI-powered solutions, intelligent agents, and data products that improve internal productivity, customer engagement, campaign optimization, and self-service access to data and insights.
  • Define and enforce platform standards for schema evolution, data lineage, governance, metric consistency, access controls, naming conventions, and data quality SLAs across the organization.
  • Improve operational excellence across the data ecosystem through monitoring, alerting, freshness validation, schema drift detection, incident response, root cause analysis, and production support, while leading technical design discussions, architecture reviews, mentorship, and adoption of AI-assisted engineering practices.

About You:
Education:
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related technical field required. Master's degree preferred.

Experience:
  • 5+ years of experience designing, building, and operating production-grade data platforms and distributed data systems.
  • Strong experience developing scalable data products, semantic layers, and analytical data models supporting enterprise reporting and activation use cases.
  • Demonstrated expertise in dimensional data modeling and Kimball methodologies, including fact and dimension modeling, conformed dimensions, SCDs, and metric governance.
  • Experience supporting customer data platforms, marketing technology ecosystems, or data activation platforms is highly preferred.
  • Proven ability to write technical design documents, evaluate architectural trade-offs, and deliver scalable engineering solutions.
  • Experience operating in fintech, financial services, adtech, or other highly regulated industries preferred.
  • Strong communication and stakeholder management skills with experience collaborating across engineering, analytics, product, and business teams.

Technical Skills:
  • Deep expertise in dimensional data modeling, semantic layer architecture, and Kimball methodologies.
  • Strong experience designing fact tables, conformed dimensions, SCD strategies, star schemas, and governed analytical models.
  • Expert-level SQL and strong proficiency in Python, Spark, or Java with emphasis on scalable, maintainable, and testable production-quality code.
  • Hands-on experience with cloud data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
  • Experience with orchestration and transformation frameworks such as Airflow, Dagster, and dbt.
  • Familiarity with streaming and event-driven architectures using Kafka, Kinesis, Pub/Sub, or similar technologies.
  • Experience with customer data and activation platforms such as Hightouch, Segment, Iterable, Amplitude, or similar Martech technologies.
  • Strong understanding of data governance, lineage, observability, access controls, and enterprise data quality frameworks.
  • Experience implementing monitoring, SLA management, freshness validation, schema drift detection, and operational support processes.
  • Familiarity with AI-assisted development tools and engineering productivity platforms such as Cursor, Claude Code, OpenAI, or similar technologies.

Personal Attributes:
  • Systems thinker with the ability to connect business needs, customer experiences, and technical architecture.
  • Passionate about building scalable, governed, and trusted data platforms.
  • Curious, adaptable, and enthusiastic about leveraging AI to improve engineering workflows and business outcomes.
  • Strong ownership mentality with a bias toward action and operational excellence.
  • Effective collaborator capable of influencing stakeholders across technical and non-technical teams.
  • Committed to mentoring teammates and raising the engineering standards of the organization.

What's Next:
After you submit your application, you can expect the following steps in the recruitment process:
  • Recruiter Interview
  • Hiring Manager Interview + Live Coding
  • Technical Interview - System Design & White-boarding - cross functional team
  • Final Interview - Leadership

Apply