722 Senior Data Engineer jobs in Harrison,NJ

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Senior Vice President, Infrastructure Engineer

BNY

Jersey City, NJ 07306

New, Posted 1 day ago

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Senior Associate, Data Engineer - Databricks

KPMG

New York, NY 10025

~ 25 min OnsiteHealth InsuranceRetirement Benefit

Minimum three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI / ML engineer
Preferably Databricks certified
Bachelor's degree in Engineering, Information Technology, Computer Science or a related field from an accredited college/university
Experience in leading projects relating to cloud modernization, data migration, data warehousing experience with cloud-based data platforms (Databricks) and experience with (preferably driving) technical workshops with technical and business clients to derive value added services and implementations
Hands-on working knowledge of topics such as data security, messaging patterns, ELT, Data wrangling and cloud computing and proficiency in data integration/EAI and DB technologies, sophisticated analytics tools, programming languages or visualization platforms
Experience designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP
Hands-on technical experience with SQL and Apache Spark
Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future and travel as needed

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Senior Mechanical Engineer

Pts Data Center Solutions

Oakland, NJ 07436

$145,000-$190,000/yr

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Human Resources Technology Data Engineer

LHH US

Long Island City, NY 11101

$85-$100/hr

Hybrid~ 25 minHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Engineering, or a related field.
5-8 years of professional software engineering experience.
Proven track record of hands on development in enterprise scale systems, preferably in HR.
Strong proficiency in at least one core programming language (Python or Java).
Deep experience with relational databases, NoSQL stores, and complex query design.
Experience working with HR, people operations, or workforce analytics data, including sensitive data handling, HRIS integrations (e.g., Dayforce, Culture Amp, etc.), and secure data exchange patterns.
Demonstrated ability to build or support platforms involving employee lifecycle data, compensation structures, organizational hierarchies, and talent management workflows.

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Head of AlphaGen - Investor Research Product Engineering, Director

Blackrock

New York, NY 10025

~ 25 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent practical experience
An advanced degree is a plus
Strategic Engineering Leadership: Proven experience leading large-scale engineering organizations through product transformation initiatives (e.g., platform modernization, cloud migration, operating model changes). Demonstrated success in setting vision and executing across complex, multi-year technology programs
Alpha generation workflows or closely related quantitative research processes in finance/investments
Cloud technologies and cloud-native architectural patterns (e.g., microservices, containerization, distributed computing e.g. Ray)
API-first platform design and developer experience best practices
AI/ML applications for workflow automation, data validation, and operational excellence
Modern stack knowledge and skills - e.g. Python, Polars, Ray, MLFlow or equivalent technology
Demonstrated strength in partnership-building and cross-functional collaboration
Able to influence and align product teams, platform/infrastructure teams, and governance bodies around a common vision and roadmap
Ability to operate in complex market and organizational contexts, translating strategic objectives into actionable plans
Proven track record of driving innovation, navigating ambiguity, and delivering measurable outcomes at scale
AI-First, Human-in-the-Loop: Embraces AI-driven solutions as a default for efficiency and scale, while keeping expert human judgment in critical loops to ensure quality and trust
Platform Over People: Prioritizes building robust platforms and automation over relying on individual heroic efforts, enabling sustainable and scalable growth
Single Front Door: Advocates for a unified user experience where researchers and stakeholders have one intuitive portal for all their needs, simplifying access and support
Standardization Everywhere: Drives consistency in tools, processes, and data across the board, reducing complexity and improving interoperability and maintainability
Self-Service as the Default: Champions self-service capabilities, empowering users to accomplish tasks independently (from data ingestion to model deployment) without bespoke engineering work
Deep Co-Ownership with PMG: Fosters a culture of partnership with the Portfolio Management Group, aligning closely on priorities, sharing roadmaps and KPIs, and co-owning outcomes to ensure the platform truly meets investment teams' needs
For New York, NY Only the salary range for this position is USD$225,000.00 - USD$285,000.00
Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits
BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance
4 days in the office per week, with the flexibility to work from home 1 day a week

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Chief Systems Engineer

L3 Harris

Clifton, NJ 07011

~ 20 min OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree with a minimum of 12 years of prior related experience.
Graduate Degree with a minimum of 10 years of prior related experience.
In lieu of a degree, minimum of 16 years of prior related experience.
2 years of experience in Cameo and SysML v1
3 years experience with Agile development and using JIRA
Active Secret Security Clearance- Ability to obtain and maintain any additional clearances as required.

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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

~ 25 min OnsiteUrgently Hiring

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures
Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field
Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years
Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years
In-office position preferably based in New York City
Travel as required for partner engagements, executive meetings, and industry events

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Senior Full Stack Engineer (Angular and Python)

Fidelity Investments

Harrison, NJ 07029

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

5 plus years full stack development with Angular (TypeScript, RxJS) on the front-end
Python (pandas, NumPy) on the back-end
Strong object-oriented design
REST API fundamentals
Experience designing and building distributed data applications and pipelines at scale
Working knowledge of relational and analytical databases, specifically Oracle and Snowflake, including complex SQL
Hands-on CI/CD experience using Jenkins or comparable tools, with solid unit, integration, and end-to-end testing practices (pytest, Jasmine/Karma)
Proficiency with Git-based workflows, code review standards, and Agile/Scrum delivery
Consistent track record of designing and implementing end-to-end data systems (full stack development) from concept to launch

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Senior Technologist, Data Center Fluids

Wayne, NJ 07470

Hybrid~ 29 minFlexible ScheduleHealth InsuranceRetirement Benefit

Degree in Chemistry, Engineering, or related technical discipline.
Up to 25% travel should be expected with this role
This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

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Senior Buyer Planner, Procurement

PNY Technologies

Parsippany, NJ 07054

~ 24 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

8+ years of combined experience in procurement, buyer/planner, materials planning, supply planning, supply chain operations, or related roles.
Hands-on experience with ERP/MRP systems, purchase order management, RFQs, supplier coordination, inventory analysis, and production or materials planning.
Proven experience managing suppliers and/or contract manufacturers, including delivery performance, pricing, lead times, quality, and issue resolution.
Advanced Microsoft Excel skills required; experience with Word, Outlook, and PowerPoint required.
Bachelor's degree in Business, Supply Chain, Operations, or a related field preferred; equivalent experience will also be considered.
Power BI experience is a plus.
Experience working in a manufacturing, technology, electronics, hardware, consumer products, or contract manufacturing environment strongly preferred.
Familiarity with consignment inventory and VMI models preferred.

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