Commute Time
Date Posted
Title
Job Type
Benefits
Pay
1870 Data Engineer jobs in Union City,NJ
New, Posted 14 hours ago
Sales Specialist, Intelligent Data Services, Financials
NetApp
New York, NY 10025
Hybrid~ 16 minHealth InsurancePaid Time OffRetirement Benefit
- 7–10 years of enterprise sales experience (Cloud, SaaS, or Data Infrastructure), with a Bachelor's degree; or equivalent experience.
- Proven success managing complex sales cycles and closing large deals.
- Strong understanding of infrastructure, hybrid cloud, and data protection technologies.
- Experience collaborating with hyperscalers and strategic partners.
- Excellent verbal and written communication, presentation, and negotiation skills.
- Aptitude for understanding how technology solutions solve business problems.
New, Posted 20 hours ago
Trainee Entry Level Home Daily, Weekly, and Every 2 weeks
SkillConnect LLC
New York, NY 10075
Engagement Manager - Analytics & Insights (QSR / Restaurant Domain)
Inizio Partners
New York, NY 10261
New, Posted 22 hours ago
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VP – Data Architecture Governance
Synchrony Financial
New York, NY 10012
Remote
- Bachelor's Degree in Computer Science or related field
- A minimum 10+ years' experience in information technology or in lieu of degree, High School/GED and 15+ years of Information technology experience
- A minimum of 8 years of progressive experience in governance role supporting engineering org or senior data architecture roles within regulated environments, with preference for financial services
- Proven experience owning data platform architecture governance and control frameworks and driving compliance activities from design through implementation and evidence
- Strong collaboration skills to work effectively with architects, engineers, risk, and audit teams
- Experience managing audit coordination and regulatory compliance activities for technology platforms
- Knowledge of industry best practices in data architecture and governance, with focus on cloud modernization initiatives
- Strong communication skills, including ability to brief executive leadership on risk and compliance matters
- Familiarity with risk management and issue tracking tools and processes is preferred
- Ability and flexibility to travel for business as required
New, Posted 5 hours ago
Senior Manager, Software Development Engineer in Test
Disney Entertainment and ESPN Product & Technology Careers
New York, NY 10025
$171,600-$230,100/yr
New, Posted 5 hours ago
Property Adjuster Specialist - Field
USAA Careers
New York, NY 10025
New, Posted 11 hours ago
Easy Apply
Remote Sales Enrollment Specialist - No Experience Needed
Globe Life - Moore - Sodan Agency
Union City, NJ
RemoteRetirement Benefit
- Candidates must be based in New Jersey to be considered.
- No prior sales experience is required
New, Posted 1 day ago
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Principal Quant Developer (MLOps)
Fidelity Investments
Weehawken, NJ 07086
~ 3 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit
- A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field
- Six (6) years of experience as a Senior Quant Developer or similar role
- Alternatively, a Master's degree (or equivalent foreign education) in the same fields
- Four (4) years of experience as a Lead Quantitative Development or similar role
- This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
- Expert in Python with experience across the development stack (full stack)
- Exposure to object-oriented programming (OOP) and design patterns
- Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
- A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
- Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
- Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
- Proven ability to construct and manage robust data pipelines and event-driven workflows
- Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
- Experience in containerization with Docker and orchestration with Kubernetes
- Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
- Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
- Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
- Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
- Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
- Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
- Awareness of responsible AI governance practices
- Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
- Demonstrated knowledge of mathematics, statistics, and quantitative finance
- Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
- Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
- Domain knowledge in either equities, fixed income or alternative asset classes
New, Posted 1 day ago
DiversityJobs
Distinguished Engineer
Scale AI
New York, NY 10261
New, Posted 22 hours ago
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Head of Technology, Intelligence Ventures
Spectrum
New York, NY 10036
~ 16 min Onsite
- Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
- Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
- Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
- Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
- Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
- Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
- Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
- Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
- Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
- Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
- Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
- Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
- Engineering leadership and team-building experience, including managing senior technical staff — 7 years
What companies are hiring Data Engineer jobs in Union City,NJ?
- NetApp
- SkillConnect LLC
- Inizio Partners
- Synchrony Financial
- Disney Entertainment and ESPN Product & Technology Careers
- USAA Careers
- Globe Life - Moore - Sodan Agency
- Fidelity Investments
- Scale AI
- Spectrum
- NetApp
- SkillConnect LLC
- Inizio Partners
- Synchrony Financial
- Disney Entertainment and ESPN Product & Technology Careers
- USAA Careers
- Globe Life - Moore - Sodan Agency
- Fidelity Investments
- Scale AI
- Spectrum
What is the yearly salary range for Data Engineer jobs in Union City,NJ?
The yearly salary range is $171600 - $230100.
The yearly salary range is $171600 - $230100.
