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Principal Data Platform Engineer Jobs in Edison, NJ

Senior Data Platform Engineer

New York, NY

$114K - $157K/yr

As a Data Platform Engineer, you will be responsible for the reliability, stability, and operational health of our data platform - including how it is deployed, monitored, maintained, and promoted ...

Senior Data Platform Engineer

New York, NY · On-site

$116K - $157K/yr

As a Data Platform Engineer, you will be responsible for the reliability, stability, and operational health of our data platform - including how it is deployed, monitored, maintained, and promoted ...

Senior Data and Platform Engineer

New York, NY · On-site

$116K - $157K/yr

Senior Data & Platform Engineer NYC (Hybrid) or US Remote | Competitive + Equity About Avantos Avantos is building the AI-native operating system for financial services - transforming fragmented data ...

Senior Data Platform Engineer

New York, NY · On-site +1

$116K - $157K/yr

Senior Data Platform Engineer As a Senior Data Platform Engineer, you'll be an SRE for our data infrastructure: responsible for the reliability, automation, and operability of the database and ...

Senior Data Platform Engineer

New York, NY · On-site

$116K - $157K/yr

Senior Data Platform Engineer As a Senior Data Platform Engineer, you'll be an SRE for our data infrastructure: responsible for the reliability, automation, and operability of the database and ...

AI-Native Data Platform Engineer

New York, NY · On-site

$125K - $150K/yr

The Role As an AI-Native Data Platform Engineer at Farther, you will design and own the canonical data foundations powering our financial AI systems. This role sits at the core of our platform ...

The Role As an AI-Native Data Platform Engineer at Farther, you will design and own the canonical data foundations powering our financial AI systems. This role sits at the core of our platform ...

AI-Native Data Platform Engineer

New York, NY · On-site +1

$125K - $150K/yr

The Role As an AI-Native Data Platform Engineer at Farther, you will design and own the canonical data foundations powering our financial AI systems. This role sits at the core of our platform ...

Lead Market Data Platform Engineer

Iselin, NJ · On-site

$104K - $137K/yr

Wells Fargo is seeking a Lead Market Data Platform Engineer within the Market Data Technology group. This role is responsible for the design, engineering, and support of mission-critical market data ...

The ideal candidate will have expertise in metadata management, data cataloging, enterprise data governance, and platform engineering. This role will be responsible for designing scalable metadata ...

Showing results 21-40

Principal Data Platform Engineer information

See Edison, NJ salary details

$76.6K

$152.4K

$220K

How much do principal data platform engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for principal data platform engineer in Edison, NJ is $152,410.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,700.00 and $179,100.00 per year, depending on experience, location, and employer.

What is the difference between Principal Data Platform Engineer vs Data Engineer?

AspectPrincipal Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often with certifications in cloud platformsBachelor's in CS, Data Science, or related; certifications are common but not mandatory
Work EnvironmentDesigns and oversees data platform architecture, leads technical strategyBuilds, maintains, and optimizes data pipelines and databases
Employer & Industry UsageUsed in large tech, finance, and enterprise companies focusing on scalable data solutionsCommon across industries for data processing and analytics tasks

The Principal Data Platform Engineer focuses on designing and leading the development of data platforms, ensuring scalability and performance. In contrast, Data Engineers primarily build and maintain data pipelines and infrastructure. Both roles require strong technical skills, but the Principal role involves strategic oversight and architecture leadership.

What are popular job titles related to Principal Data Platform Engineer jobs in Edison, NJ? For Principal Data Platform Engineer jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Principal Data Platform Engineer jobs in Edison, NJ look for? The top searched job categories for Principal Data Platform Engineer jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Principal Data Platform Engineer jobs? Cities near Edison, NJ with the most Principal Data Platform Engineer job openings:
Infographic showing various Principal Data Platform Engineer job openings in Edison, NJ as of June 2026, with employment types broken down into 6% As Needed, 66% Full Time, 6% Part Time, 3% Temporary, and 19% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $152,410 per year, or $73.3 per hour.

Staff Data Platform Engineer

OXIO Corporation

New York, NY • On-site, Remote

Full-time

Re-posted 8 days ago


Job description

Staff Data Platform Engineer
OXIO is the world's first telecom-as-a-service (TaaS) platform. We are democratizing telecom and making it easily accessible for brands and enterprises to fully own and operate proprietary mobile networks designed to support their own customers needs. Our TaaS solution combines multiple existing networks into one single platform that can be seamlessly managed in the cloud as a modern SaaS offering. And it gets better - with full network access comes unparalleled business intelligence and insights to help enterprises better understand customer and machine (M2M) behavior. With a continuous focus on innovation, any company can build a powerful telecom presence with OXIO, and in addition help them glean unique customer insights like never before.
Job Description:
We're seeking a seasoned Staff Data Engineer to lead the design, development, and scaling of our modern data platform. This role is ideal for someone who thrives in building and designing robust data systems. You'll be instrumental in shaping our data infrastructure, driving governance, and building scalable APIs that power real-time and batch analytics.
You will also play a pivotal role in evaluating, designing, and migrating our organization toward a North Star data architecture-a future-proof foundation that supports scalable, secure, and intelligent data operations across the enterprise.
This role supports a wide range of analytics use cases across telecom networking, product intelligence, financial reporting, and internal/external data insights. You'll help build a comprehensive Customer 360 platform powered by ML models and behavioral data, enabling advanced use cases such as fraud detection, brand intelligence, and personalized customer engagement.
Key Responsibilities
  • Architect, build, and scale a unified data platform integrating internal and external sources into data lakes and warehouses
  • Design and implement streaming and batch data pipelines using tools like Spark, Airflow, and DBT
  • Lead infrastructure provisioning using Terraform and Kubernetes, ensuring scalable and secure deployments
  • Evaluate and drive the migration to our North Star data architecture, aligning platform capabilities with long-term business goals
  • Collaborate with cross-functional teams to define logging standards, data contracts, and consumption patterns
  • Drive best practices in data governance, privacy compliance (GDPR, CCPA), and metadata management
  • Build APIs and data services to support real-time activation and client-facing data sharing
  • Participate in strategic architectural decisions and long-term data roadmap planning
  • Evangelize modern data Platform & engineering practices across the organization
  • Mentor junior engineers and contribute to hiring and team growth

Required Qualifications:
  • 15+ years of experience in software engineering with a strong focus on data systems and platform architecture
  • 10+ years of experience building data solutions using data lakehouse architectures and self-serve data platforms that empower scalable analytics across teams
  • 10+ years of hands-on programming experience with Scala, Go, Python, and SQL, building robust, high-performance data systems
  • 5+ years of experience building scalable data solutions using Python, Spark, and Terraform
  • Proven experience building serverless and scalable ML infrastructure to support large-scale data processing, ideally in telecom or similarly high-throughput environments
  • Deep expertise in cloud-native data stacks (AWS, Databricks, Snowflake, BigQuery, Synapse)
  • Strong understanding of microservices architecture, event-driven systems (Kafka), and container orchestration (Kubernetes)
  • Experience building operational tools and defining best practices to improve operational efficiency and developer experience-including evaluating and adopting AI-based tools for engineering productivity
  • Experience with orchestration tools like Airflow or Prefect and transformation tools like DBT
  • Proficient in building and scaling APIs (REST/gRPC) for data access and activation
  • Familiarity with front-end technologies and frameworks (e.g., React) is a plus
  • Built distributed Kafka pub/sub model for data ingestion pipeline with queue workers deployed on AWS ECS
  • Automated monitoring, disaster recovery, CI/CD supported with filebeat/cloudwatch serverless monitoring
  • Hands-on experience with data visualization and BI tools (Tableau, PowerBI, Cibe.dev)
  • Strong grasp of data governance, compliance frameworks, and secure data sharing practices
  • Experience applying AI/ML and LLMs to data products and predictive analytics
  • Exceptional communication and leadership skills in fast-paced environments

What We Offer:
  • Competitive salary and stock option incentive program
  • Company paid healthcare
  • Flexible work arrangements
  • Company sponsored team-lunches and company retreats
  • International organization that enables you to work across boundaries, travel to different locations, and enjoy the dynamics of a rapidly growing startup
  • A diverse and inclusive team.
  • We welcome applicants from all backgrounds to apply regardless of race, ethnicity, age, disability status or other defining characteristics.

OXIO is committed to fostering a diverse, equitable, and inclusive workplace where all employees feel valued and empowered. We believe that diversity in all its forms drives innovation and creativity, and we strive to create an environment that reflects and celebrates the unique backgrounds, perspectives, and talents of our employees. We do not discriminate against any employee or applicant for employment based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. We are dedicated to providing a work environment free from discrimination and harassment. We committed to ensuring that all qualified applicants have an equal opportunity to apply for job openings. If you need assistance or an accommodation due to a disability, please contact us at hr@oxio.io for more information.