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Principal Data Platform Engineer Jobs in Summit, NJ

Data Platform Engineer

New York, NY ยท On-site

$125K - $150K/yr

About the role You are a skilled and motivated Data Platform Engineer. You will: * Design, build, and maintain data pipelines at scale. We run Apache Airflow 3 on Astronomer with pipelines that ...

Data Platform Engineer

New York, NY ยท On-site

$125K - $150K/yr

Qualifications * 2-5 years of experience in a Data Platform Engineering role * Strong software engineering experience and working with Python * Strong experience working with SQL and databases ...

Data Platform Engineer

New York, NY ยท Hybrid

$125K - $150K/yr

Qualifications * 2-5 years of experience in a Data Platform Engineering role * Strong software engineering experience and working with Python * Strong experience working with SQL and databases ...

Principal Data Architect

New York, NY ยท On-site

$160K - $190K/yr

Principal Data Architect - Data Platforms Russell Investments is seeking a hands-on Principal Data ... You will work closely with engineering, analytics, and platform teams to design scalable data ...

The Principal Data Engineer will lead the end-to-end design and implementation of scalable ... Architect scalable data platforms that integrate structured and unstructured data,including ...

The Principal Data Engineer will lead the end-to-end design and implementation of scalable ... Architect scalable data platforms that integrate structured and unstructured data,including ...

The Principal Data Engineer will lead the end-to-end design and implementation of scalable ... Architect scalable data platforms that integrate structured and unstructured data,including ...

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Showing results 1-20

Principal Data Platform Engineer information

See Summit, NJ salary details

$78.6K

$156.4K

$225.8K

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 Summit, NJ is $156,435.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,900.00 and $183,800.00 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 Summit, NJ? For Principal Data Platform Engineer jobs in Summit, NJ, the most frequently searched job titles are:
What cities near Summit, NJ are hiring for Principal Data Platform Engineer jobs? Cities near Summit, NJ with the most Principal Data Platform Engineer job openings:
Infographic showing various Principal Data Platform Engineer job openings in Summit, 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 $156,435 per year, or $75.2 per hour.

Data Platform Engineer

Veracity Software Pvt. Ltd.

Jersey City, NJ โ€ข On-site

$125K - $150K/yr

Full-time

Re-posted 12 days ago


Job description

Job Summary:
Veracity Software Pvt. Ltd. is seeking a Data Platform Engineer to design, develop, and maintain complex data pipelines. The role involves implementing best practices for data orchestration and ensuring the performance and reliability of data platforms while collaborating with various stakeholders.
Responsibilities:
โ€ข Design, develop, and maintain complex Airflow DAGs for batch and event-driven data pipelines
โ€ข Implement best practices for DAG performance, dependency management, retries, SLA monitoring, and alerting
โ€ข Optimize Airflow scheduler, executor, and worker configurations for high-concurrency workloads
โ€ข Lead dbt Core implementation, including project structure, environments, and CI/CD integration
โ€ข Design and maintain robust dbt models (staging, intermediate, marts) following analytics engineering best practices
โ€ข Implement dbt tests, documentation, macros, and incremental models to ensure data quality and performance
โ€ข Optimize dbt query performance for large-scale datasets and downstream reporting needs
โ€ข Deploy and manage data workloads on Kubernetes / OpenShift platforms
โ€ข Design strategies for workload distribution, horizontal scaling, and resource optimization
โ€ข Configure CPU/memory requests and limits, autoscaling, and pod scheduling for data workloads
โ€ข Troubleshoot container-level performance issues and resource contention
โ€ข Monitor and tune end-to-end pipeline performance across Airflow, dbt, and data platforms
โ€ข Identify bottlenecks in query execution, orchestration, and infrastructure
โ€ข Implement observability solutions (logs, metrics, alerts) for proactive issue detection
โ€ข Ensure high availability, fault tolerance, and resiliency of data pipelines
โ€ข Work closely with data architects, platform engineers, and business stakeholders
โ€ข Support financial reporting, accounting, and regulatory data use cases
โ€ข Enforce data engineering standards, security best practices, and governance policies
Qualifications:
Required:
โ€ข 10+ years of professional experience in data engineering, analytics engineering, or platform engineering roles
โ€ข Proven experience designing and supporting enterprise-scale data platforms in production environments
โ€ข Expert-level Apache Airflow (DAG design, scheduling, performance tuning)
โ€ข Expert-level DBT Core (data modeling, testing, macros, implementation)
โ€ข Strong proficiency in Python for data engineering and automation
โ€ข Deep understanding of Kubernetes and/or OpenShift in production environments
โ€ข Extensive experience with distributed workload management and performance optimization
โ€ข Strong SQL skills for complex transformations and analytics
โ€ข Experience running data platforms on cloud environments
โ€ข Familiarity with containerized deployments, CI/CD pipelines, and Git-based workflows
Preferred:
โ€ข Experience supporting financial services or accounting platforms
โ€ข Exposure to enterprise system migrations (e.g., legacy platform to modern data stack)
โ€ข Experience with data warehouses (Oracle)
Company:
At Veracity, if you have an idea you want to validate, a product you need to build, or an existing product that needs optimization, our teams are trained to jump in wherever needed. Founded in 2010, the company is headquartered in Iselin, USA, with a team of 51-200 employees. The company is currently Growth Stage.