New York

Engineer Jobs in New York

37 jobs found

Include remote jobs

Today

Product Operations Engineer, Enterprise Operations

Always Compassionate Home Care Melville, NY

Melville, NY

Today

Up to $140k/yr Full time Ai Workflows Business Process Mapping Data Visualization

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Job Description

The Enterprise Operations role focuses on mapping and optimizing enterprise processes across technology systems, workflows, and organizational roles, prioritizing AI-enabled improvements and cross-functional collaboration for Always Compassionate Home Care.

Responsibilities

Chart and document end-to-end enterprise processes spanning technology platforms, operational workflows, and organizational roles.
Detect bottlenecks, duplications, and gaps in current processes and propose solutions that boost speed, accuracy, and scalability.
Act as a practical partner for both business and technical teams, converting process challenges into actionable improvement plans.
Assess and advocate for AI-enabled tools and automation to streamline workflows and reduce manual effort.
Lead cross-functional improvement programs from initial scoping to deployment, maintaining alignment among stakeholders.
Create and maintain process documentation, workflow diagrams, and mappings to source systems.
Provide product-minded guidance during system implementations, platform evaluations, and operational change initiatives.
Collaborate with Data & Analytics, IT, and operations leadership to ensure technology investments reflect real process needs.
Track and report the impact of process improvements using defined metrics and stakeholder updates.

Requirements

Bachelor’s degree in engineering, information systems, business, operations management, or a related field.
Three to seven years of experience in solutions engineering, process improvement, technical project management, or operational consulting.
Proven ability to map complex business processes and translate them into structured, actionable documentation.
Solid interest in and hands-on experience with AI tools, automation, and workflow optimization technologies.
Excellent communication skills with the ability to work across technical and non-technical teams.
Experience managing cross-functional initiatives and driving projects from concept to completion.
Structured problem-solving mindset with attention to both strategic and operational details.

Technologies

Visio
Lucidchart
Miro
Snowflake
BI tools
EHRs
Billing platforms
Workforce management tools
AI tools

Benefits

401(k)
Health Insurance
Dental/Vision
Aflac
Paid time off

Location

Melville, NY (onsite)

Job Type

Full-Time

Salary

Up to USD 140,000 per year

About Us

Always Compassionate Home Care (ACH) is a leading integrated home and community-based health care provider focused on patient-centered services. The organization aims to build a modern, data-driven operation to support growth across home care, pharmacy, mental health, and emerging care models. The Enterprise Data & Analytics function plays a critical role in enabling operational efficiency, regulatory compliance, and strategic decision-making through scalable, cloud-based data platforms.

Preferred Qualifications

Experience in healthcare, home care, or other operationally complex, regulated industries.
Familiarity with enterprise systems (EHRs, billing platforms, workforce management tools).
Exposure to data platforms and analytics environments (for example Snowflake, BI tools).
Experience with process mapping tools (Visio, Lucidchart, Miro) and project management frameworks.
Background in product management or product-led operational improvement.

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Today

Project Water Engineer

Arcadis New York, NY

New York, NY

Today

$120k - $130k/yr Full time AutoCAD AutoCAD Civil 3D Civil Engineering

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Job Description

Arcadis offers a collaborative, growth-focused culture centered on resilient design and sustainable infrastructure. This on-site Project Water Engineer role in New York, NY combines a competitive salary of $120,000 to $130,000 per year with a comprehensive benefits package, including medical, dental, and vision coverage, a 401(k) plan, nine paid holidays, 15 days of PTO, paid parental leave, tuition reimbursement, adoption assistance, an Employee Assistance Program, and both short- and long-term disability coverage. You will join a team that values technical excellence, cross-disciplinary collaboration, and clear communication with clients and stakeholders.

Responsibilities

Evaluate, plan, design, and support management of stormwater and resiliency projects, covering drainage planning, green infrastructure design, and flood mitigation systems.
Make informed judgments on project details and preliminary engineering alternatives as they are developed.
Complete technical analyses and produce reports with guidance from more senior team members.
Conduct field activities such as site visits, construction observation, sampling, water quality analyses, asset inventories, and setting up flow monitoring.
Support engineering services during construction, including review of shop drawings, responses to RFIs, and permit closeouts.
Manage project tasks as a resource, delivering activities within budget and schedule while meeting or exceeding client expectations.
Investigate and analyze technical solutions, preparing accurate documentation and reports in line with Arcadis requirements and applicable standards.
Communicate effectively with project managers, team leaders, and clients to keep project matters progressing smoothly.
Provide technical guidance to colleagues and contribute to resolving project challenges.
Collaborate with other design disciplines to maintain the integrity of the overall solution.
Review completed engineering work to ensure compliance with standards and specifications.
Develop a broader understanding of Arcadis services, client needs, and industry trends to build professional credibility and networks.

Requirements

Bachelor’s degree or equivalent in an engineering field.
Minimum of 5 years of engineering experience and PE Certification.
Experience with AutoCAD Civil 3D or other design software.
Experience with stormwater management calculations and green infrastructure design.

Technologies

AutoCAD Civil 3D
SWMM
ICM
GIS
SQL
Python
Ruby

Benefits

Medical insurance
Dental insurance
Vision insurance
Employee Assistance Program (EAP)
401(k)
Short-term disability (STD)
Long-term disability (LTD)
Accidental Death & Dismemberment (AD&D) insurance
Life insurance
Paid parental leave
Reward & recognition program
Optional benefits including wellbeing benefits
Adoption assistance
Tuition reimbursement
Nine paid holidays
Paid time off (PTO) 15 days per year

Skills and Abilities

Detail oriented with knowledge of relevant national standards and codes of practice.
Ability to provide technical guidance and mentor junior staff.
Strong data gathering, technical writing, and analytical capabilities.
Developing skills in technical work, project management, relationship management, sector expertise, and commercial awareness.
Excellent interpersonal, problem-solving, time management, and communication skills.

Preferred Skills

Familiarity with computer programming tools such as SQL, Python, or Ruby.
Experience with hydrologic and hydraulic modeling, particularly SWMM and/or ICM, along with GIS proficiency.

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1d ago

Senior Machine Learning Engineer

Onward Search Brooklyn, NY 🇺🇸 Remote

Brooklyn, NY

1d ago

$80 - $85/hr Contract Ad Tech Data Engineer Data Processing

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Job Description

Onward Search is seeking a Senior Machine Learning Engineer for a remote, U.S. based contract role within an e-commerce ads platform. The focus is on building scalable ML models and production-grade ML systems. This assignment runs for 10 to 26 weeks with an hourly rate of USD 80 to 85. The position is based in Brooklyn, NY with remote work options and requires a minimum of two years of relevant experience.

Responsibilities

Design and maintain scalable machine learning models to enhance ad relevance and overall system efficiency.
Collaborate with product, data, and engineering teams to improve ad candidate retrieval and user engagement metrics.
Deploy, monitor, and optimize ML systems operating in production environments.
Contribute to data pipeline architecture to support scalable machine learning workflows.
Troubleshoot and resolve issues in live production ML systems.

Qualifications

Proficiency in Python, with additional experience in Scala, Java, or C/C++.
Strong software engineering foundation with the ability to develop performant data pipelines on distributed systems.
2-5 years of hands-on experience across the ML lifecycle, including training, deployment, and monitoring.
Familiarity with vector databases and retrieval systems, with ANN tuning; Vespa experience preferred.
Practical experience using frameworks such as TensorFlow or PyTorch.

Technologies

Python
Scala
Java
C/C++
Vespa
TensorFlow
PyTorch

Benefits

Medical, Dental, and Vision Insurance
Life Insurance
401(k) Program
Commuter Benefit
eLearning and Ongoing Training
Education Reimbursement

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1d ago

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)

Capital One New York, NY

New York, NY

1d ago

$251k - $286k/yr Full time Big Data Cloud Platforms Data Processing

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Job Description

The Senior Lead, Machine Learning Engineer role within Capital One's Enterprise Platforms Technology (EPTech) team in New York, NY (onsite) focuses on productionizing ML applications at scale, designing and implementing models and infrastructure, and ensuring governance, security, and performance of ML systems.

Responsibilities

Design and deliver ML models and components that address real-world business needs, in collaboration with Product and Data Science teams.
Guide ML infrastructure decisions based on modeling techniques and considerations, including model choice, data and feature selection, training, hyperparameters, dimensionality, bias/variance, and validation.
Tackle complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
Collaborate within a cross-functional Agile team to build software that enables state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage or build cloud-based architectures, technologies, and platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models.
Apply continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
Ensure code quality and governance to reduce vulnerabilities, maintain risk governance for models, and adhere to responsible and explainable AI practices.
Utilize programming languages such as Python, Scala, or Java.

Requirements

Bachelor’s degree
At least 8 years of experience designing and building data‑intensive solutions using distributed computing (internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions

Technologies

Python
Scala
Java
scikit-learn
PyTorch
Dask
Spark
TensorFlow
AWS
Azure
Google Cloud Platform

Benefits

Health benefits
Financial benefits
Performance-based incentive compensation (cash bonuses and long-term incentives)

Preferred Qualifications

Master’s or doctoral degree in computer science, electrical engineering, mathematics, or a related field
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
3+ years of experience developing performant, resilient, and maintainable code
3+ years of experience with data gathering and preparation for ML models
3+ years of people management experience
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
3+ years of experience building production-ready data pipelines that feed ML models
Ability to communicate complex technical concepts clearly to a variety of audiences

Salary by Location

McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer
New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer

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2d ago

SENIOR CONTROLS ENGINEER - Manufacturing (JC432)

ilocatum Buffalo, NY

Buffalo, NY

2d ago

$86k - $123k/yr Full time Electrical Engineering Senior Allen-Bradley

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Job Description

The Senior Controls Engineer will lead electrical and process-control initiatives at the Buffalo, NY manufacturing plant, focusing on power optimization, automation projects, and overall reliability improvements on site. This onsite role requires a Bachelor’s degree in Electrical Engineering and at least two years of controls experience, with a salary range of USD 85,500 to 123,200 annually.

Location and Compensation

Location: Buffalo, NY (onsite)

Salary: USD 85,500 - 123,200 per year

Experience: 2+ years

Education: Bachelor’s Degree in Electrical Engineering

Responsibilities

Act as the primary administrator and troubleshooter for the plant's power and control networks
Provide technical leadership for electrical, instrumentation, and process-control systems to boost reliability and performance
Create and maintain power and control standards to ensure consistency across projects and upgrades
Drive the site master plan for power and controls, including modernization and replacement of obsolete technologies
Mentor and develop Electrical & Instrumentation technicians through skills training and technical guidance
Ensure compliance with electrical safety and regulatory standards, including NFPA and OSHA requirements
Validate MES data from PLCs and support process engineers with automation and data analysis initiatives
Contribute to the design and implementation of machine control systems, HMI development, process automation, and KPI tracking
Identify opportunities to improve safety, quality, reliability, and cost performance
Support quality and compliance systems, including checkweighers, metal detectors, vision systems, ingredient flow, and temperature controls
Collaborate with leadership on equipment selection, installation, and startup, becoming the technical expert for new systems
Manage projects ranging from electrical and controls upgrades to full capital initiatives
Apply control systems, simulation, and process modeling technologies to enhance production and packaging performance

Requirements

Bachelor’s Degree in Electrical Engineering (required)
2+ years of controls or electrical engineering experience in a manufacturing environment
Strong knowledge of machine and process control hardware, instrumentation, and automation systems
Hands-on experience with Allen Bradley PLCs, ControlLogix, Wonderware HMI, and Rockwell FactoryTalk
Understanding of electrical power distribution, process control systems, and troubleshooting
Familiarity with NFPA 70, NFPA 70E, NFPA 79, and OSHA 1910 safety standards
Ability to support capital projects, process optimization, and equipment upgrades

Technologies

Allen Bradley PLCs
ControlLogix
Wonderware HMI
Rockwell FactoryTalk
MES

Benefits

Competitive annual compensation between USD 85,500 and 123,200
Opportunity to work on advanced manufacturing automation and controls systems
High-impact role with visibility across engineering, operations, and leadership teams
Career growth within a technically driven manufacturing environment

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2d ago

Senior Analytics Engineer

Orchard New York, NY

New York, NY

2d ago

$135k - $180k/yr Full time Senior Analytics Business Intelligence

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Job Description

Senior Analytics Engineer at Orchard in New York, NY (hybrid) with a salary of USD 135,000 - 180,000 per year.

Responsibilities

Lead major analytics platform initiatives from scoping through delivery, collaborating with the Director to shape where the roadmap goes next and align with business priorities.
Bring new data sources from raw ingest into production gold-tier dbt models that the organization can rely on, focusing on speed and quality.
Author and maintain the prose semantic layer with Markdown documentation detailing what each model means, how metrics are defined, the historical decisions that shaped the data, and where potential landmines lie.
Develop and refine the LLM powered query layer on top, including prompts, retrieval, evaluations, and a feedback loop to improve results when they are incorrect.
Stand up agents to monitor certified dashboards for anomalies and trend shifts, iterating settings until executives trust the alerts enough to take action.

Requirements

At least 4 years in analytics engineering, data engineering, or a hybrid data role, including ownership of a significant data platform or end-to-end migration.
Deep fluency in dbt and SQL, with well-formed opinions about data grain, testing, documentation, and the tradeoffs among them.
Comfort working in Redshift or a comparable data warehouse at scale.
Built practical solutions with LLMs against your own data and can articulate what has worked; hands-on retrieval or evaluations experience is a plus.
Strong technical writing ability, capable of explaining a metric in a paragraph that a senior executive can read and understand.
Proven track record of owning technical decisions in your domain and bringing stakeholders along across the organization, including the ability to push back when the data does not support requests and still secure alignment.

Technologies

Looker
dbt
SQL
Redshift
LLM

Benefits

Stock options
incentive pay
medical benefits
financial benefits
other benefits

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3d ago

Software Development Engineer - Cybersecurity, SBS Core Engineering

Amazon.com Services LLC New York, NY

New York, NY

3d ago

$158k - $214k/yr Full time Cybersecurity Tools Data Engineer Data Platform

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Job Description

Amazon.com Services LLC is seeking a Software Development Engineer to join the Specialized Business Services Security (SBS) Core Engineering Automation team. The role centers on building and maintaining automated risk and vulnerability management solutions that drive remediation and reduce risk, onsite in New York, NY. The compensation range is USD 158,100 to 213,800 per year.

Working alongside software and security engineers, you will design scalable architectures for low-latency, big data processing and strive to improve the performance and efficiency of existing systems. The position also emphasizes advancing testing, repeatability, automation, and operational excellence, while identifying and advocating for new technologies.

Responsibilities

Collaborate with software and security engineers to design and implement automated risk and vulnerability management workflows
Architect scalable systems optimized for low latency and large-scale data processing
Enhance the performance and efficiency of current platforms
Elevate testing, repeatability, automation, and overall operational excellence
Identify, develop, and advocate for new technologies

Requirements

At least 3 years of non-internship professional software development experience
A minimum of 3 years in design or architecture work for new and existing systems, focusing on patterns, reliability, and scalability
3+ years designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using C#, C++, Java, or Perl
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

Technologies

C#
C++
Java
Perl

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave