New York

Developer Jobs in New York

102 jobs found

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Today

Senior Data Engineer

Brooksource New York, NY 🇺🇸 Remote

New York, NY

Today

$65 - $85/hr Full time Senior Analytics API

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Job Description

Brooksource invites applications for a Senior Data Engineer tasked with designing, building, and maintaining scalable data pipelines and architectures that empower advanced analytics and business intelligence through big data technologies, cloud platforms, and robust data modeling.

Responsibilities

Design, develop, and optimize large scale ETL pipelines using Informatica, Talend, Apache Spark, and Apache Hive
Construct and sustain data architectures on cloud platforms such as AWS, Azure Data Lake, and other public cloud environments
Collaborate with cross functional teams to capture requirements and translate them into scalable data solutions
Create data models employing dimensional modeling techniques for data warehousing and analytics
Oversee data integration processes involving linked data, RESTful APIs, and other external sources
Ensure data quality, security, and compliance throughout the data lifecycle
Facilitate the deployment of machine learning models through integrated data pipelines
Utilize SQL, Python, Java, Bash scripting, and Shell scripting to automate and enhance processes
Participate in Agile development cycles through sprint planning, reviews, and continuous improvement efforts
Document data workflows and architecture diagrams to promote transparency and knowledge sharing

Requirements

Proven experience as a Data Engineer or similar role focusing on big data systems and cloud-based architectures
Extensive knowledge of AWS services (S3, Redshift, Glue), Azure Data Lake, the Hadoop ecosystem, and other public cloud offerings
Strong proficiency with SQL databases including Microsoft SQL Server, Oracle, and cloud-based options
Hands-on ETL/ELT development experience using Informatica or Talend
Demonstrated expertise in data modeling, including dimensional modeling for enterprise data warehouses
Skilled in Python, Java, VBA, Bash scripting, and Shell scripting for automation tasks
Familiarity with business intelligence tools such as Looker or equivalent platforms for reporting and analysis
Understanding of RESTful API integration for linked data access
Knowledge of analysis skills related to database design, query management, model training, and analytics methodologies
Experience delivering value in Agile environments with iterative development

Technologies

Informatica
Talend
Apache Spark
Apache Hive
AWS
Azure Data Lake
Hadoop
S3
Redshift
Glue
Microsoft SQL Server
Oracle
SQL
Python
Java
VBA
Bash scripting
Shell Scripting
Looker
RESTful API

Compensation

Hourly rate: USD 65.00 - 85.00 per hour

Work Location

New York, NY, with remote work option

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1d ago

C++ Quant Developer

BMO Financial New York, NY

New York, NY

1d ago

$260k - $260k/yr Full time Python Algorithmic Trading C++

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Job Description

Based in New York City with on-site work, BMO Financial Markets seeks a skilled C++ Quant Developer to help build and optimize a high-performance quantitative trading system. The role centers on Fixed Income electronic and quantitative trading, including automated quoting, execution, and risk management, with close collaboration between traders and quants to extend core frameworks and the quant library.

Responsibilities

Work on automated quoting, execution and risk management within the Fixed Income electronic and quantitative trading platform.
Contribute to the foundational frameworks and the quant library.
Collaborate with traders and quants on complex engineering problems.

Requirements

2+ years of experience developing high-performance software in C++
Experience working on trading systems
Experience working with Linux
A degree in a technical or quantitative field

Technologies

C++
Linux
Python

Benefits

Health insurance
Tuition reimbursement
Accident and life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Qualifications

2+ years of experience developing high-performance software in C++
Experience working on trading systems
Experience working with Linux
A degree in a technical or quantitative field

NICE TO HAVES

Knowledge of Rates pricing and risk
Experience building or working with quant libraries
Understanding of network fundamentals and transactional technologies
Python

Salary

Base salary for this role at VP level is $260,000 USD per year.

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1d ago

Sr Databricks Data Engineer

Deloitte New York, NY

New York, NY

1d ago

$116k - $229k/yr Full time Manager Big Data Bigdata

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Job Description

What you get at Deloitte In Deloitte's Core AI & Data practice, you will help modernize data platforms, strengthen enterprise data foundations, and scale analytics and AI capabilities across the business. This onsite role in New York offers a competitive salary range of USD 116,200 to 229,100 per year, plus a discretionary annual incentive program. You will design and optimize cloud based data engineering solutions on Databricks to enable analytics and AI use cases across enterprise data platforms, collaborating with diverse teams to deliver impact.

Responsibilities

Promote data architecture, integration, and modelling best practices by documenting standards and guiding teams.
Own the design, development, and maintenance of scalable data pipelines and architectures that support enterprise data needs.
Lead efforts to enhance data quality, operational efficiency, and process scalability.
Guide teams and technology adoption by evaluating and integrating new big data and analytics technologies; mentor data engineers and architects to ensure successful project delivery.
Collaborate on data governance, security, and compliance strategies tailored to cloud data ecosystems.
Communicate technical concepts and business value to executives, business leads, and technology teams.
Oversee DevOps practices and automation to enable streamlined deployments using tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, and PowerShell.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field and at least 1 year of relevant experience.
Ability to work independently and as part of a team.
Effective written and verbal communication skills.
Meticulous attention to detail and a commitment to high quality.
Ability to build and sustain professional relationships.
Experience leading projects or workstreams.
Ability to manage and prioritize multiple tasks in a fast paced environment.
Strong interpersonal skills and a professional demeanor.
Ability to meet deadlines.

Technologies

Databricks, Delta Lake, Apache Spark, PySpark, Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Unity Catalog
Apache Airflow
CI/CD pipelines, Azure DevOps, AWS Code Pipeline, Jenkins, TFS, PowerShell
AWS, Azure, GCP
Databricks Lakeflow

Benefits

Discretionary annual incentive program

The Team

Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team collaborates with clients to architect, engineer, and deploy cloud based data solutions that improve decision making, enable innovation, and support large scale transformation.

Preferred

Master's degree in Computer Science, Engineering, or a related field
Experience with one or more cloud ecosystems (AWS, Azure, or GCP) and related big data services
Experience tuning and optimizing performance in Databricks and Apache Spark environments
Experience with Databricks Lakeflow
Experience with artificial intelligence and machine learning solutions

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2d ago

Senior FHIR Developer

ClinDCast LLC New York, NY

New York, NY

2d ago

$75+/hr Full time Senior Fhir

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Job Description

ClinDCast LLC is seeking a Senior FHIR Developer to design, implement, and maintain interoperable EMR data exchanges and SMART on FHIR apps. This role focuses on leveraging HL7 standards and cloud-based data pipelines to deliver compliant, production-grade interfaces. The position is onsite in New York, NY with an hourly compensation of USD 75, and requires a minimum of 3 years of software development experience.

Responsibilities

Create and integrate custom software components to enable EMR interoperability.
Automate data extraction, transformation, and loading using cloud-based tooling and platforms.
Design and deploy healthcare data ingestion pipelines aligned with HL7v2, CCDA, and FHIR standards.
Develop SMART on FHIR applications with authentication and authorization using UDAP Security Flow and CDS Hooks.
Maintain and enhance FHIR interfaces, ensuring alignment with industry standards and regulatory requirements.
Provide ongoing support and optimization for production data exchange solutions.

Requirements

7+ years of software development experience with multi-tier architectures.
4+ years building components for HAPI/SMILE-CDR FHIR servers using Java and JavaScript.
3+ years of experience in FHIR interface design, development, and administration.
Experience configuring SMART on FHIR security, including UDAP and CDS Hooks.
Strong knowledge of healthcare standards such as SNOMED, CPT, ICD-10, LOINC, and RXNORM.
Familiarity with the Interoperability and Patient Access final rule CMS-9115-F.
Certifications: HL7 FHIR Certification; Cloud Administration (Azure/AWS).

Technologies

HL7v2
CCDA
FHIR
SMART on FHIR
UDAP Security Flow
CDS Hooks
HAPI
SMILE-CDR
Java
JavaScript
SNOMED
CPT
ICD-10
LOINC
RXNORM
Azure
AWS

Benefits

Flexible work from home options available.

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3d ago

Senior Machine Learning Engineer - News

Disney Entertainment and ESPN Product & Technology New York, NY

New York, NY

3d ago

$149k - $199k/yr Full time Artificial Intelligence AWS Big Data

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Job Description

Benefits

Disney Entertainment and ESPN Product & Technology offer an onsite opportunity in New York, NY with a competitive salary range of USD 148,700 to 199,400 per year. In addition to compensation, the role includes bonus and/or long-term incentive units, medical benefits, financial benefits, and a broad set of other perks that support career growth and work-life balance.

bonus and/or long-term incentive units
medical benefits
financial benefits
other benefits

Responsibilities

Own complex technical initiatives end to end, from architectural design to production deployment and ongoing operational excellence
Design and build infrastructure that supports the full machine learning lifecycle, including data pipelines, workflow orchestration, data discovery and quality tools, and feature libraries
Develop data and ML driven solutions for diverse engineering use cases such as recommendation systems, object detection, autogenerated tagging, and RAGs
Partner with product, editorial, and engineering stakeholders to translate business requirements into robust technical solutions
Strategically prioritize initiatives and workstreams to deliver high-impact, time-sensitive outcomes while proactively identifying and mitigating risks
Champion engineering best practices across code quality, testing, CI/CD, observability, and incident response
Mentor and coach engineers, fostering ownership, collaboration, and continuous improvement
Contribute to technical documentation and promote knowledge sharing across teams

Requirements

Bachelor’s degree in Computer Science, Information Systems, Statistics, Math, or a comparable field, and/or equivalent work experience
5+ years of experience building and operating ML engineering systems in production environments
Expertise in data science, deep learning algorithms, or statistical methods to solve real-world engineering problems
Comfort working across the predictive stack, including data collection, data analysis, feature engineering, batch training, and low-latency online serving
Experience designing and developing backend microservices for large-scale distributed systems using REST
Experience with cloud infrastructure, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize)
Familiarity with developing and deploying Spark and ML pipelines
Hands-on experience with big data technologies such as Databricks, Kinesis, Kafka
Proven leadership, coaching, and mentoring skills with the ability to empower a team toward business goals
Experience with observability tools for metrics, logging, and monitoring such as Datadog
Experience working in Agile/Scrum development environments
Excellent communication skills and a collaborative approach in a fast-paced, guest-focused environment

Technologies

REST
AWS
Step Functions
Lambda
Glue
SQS
SNS
Personalize
Spark
Databricks
Kinesis
Kafka
Datadog

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3d ago

Product Developer, Men's Apparel

J.McLaughlin Brooklyn, NY

Brooklyn, NY

3d ago

$80k - $95k/yr Full time Apparel Design Product Development

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Job Description

J.McLaughlin is seeking a Product Developer, Men's Apparel to join its Brooklyn, NY team in a hybrid capacity. This role guides seasonal collections from concept through production readiness, ensuring quality, fit, and consistency while collaborating with Design, Merchandising, Technical Design, Raw Materials, and Production. The position offers a salary range of USD 80,000 – 95,000 per year and requires a minimum of five years of product development experience.

Responsibilities

Lead the full product development lifecycle from initial concept handoff to final production approval.
Plan seasonal development calendars and track milestones to meet deadlines.
Oversee sample development across proto, fit, and pre-production phases to ensure timely delivery and actionable feedback.
Identify development risks early and escalate issues to maintain on-time delivery.
Collaborate with Raw Materials and Sourcing to monitor cost targets and maintain visibility throughout development.
Own cost calculations and ensure margins meet targets.
Function as a central coordinator among Design, Technical Design, Raw Materials, Sourcing, and Production.
Convert design concepts into clear development requirements for vendors.
Communicate with overseas vendors to monitor sample status, timelines, and progress updates.
Ensure vendors adhere to sampling timelines and development expectations.
Work with Technical Design to preserve product intent during development.
Assess construction feasibility and propose improvements where appropriate.
Keep product data accurate and current in PLM systems.
Participate in fittings, line reviews, and cross-functional meetings to support seasonal development.
Contribute to process improvements and cross-functional initiatives across the development lifecycle.
Occasional travel to vendors, factories, or other sites may be required.
Support ongoing vendor communication and performance tracking throughout development.
Prepare for milestone meetings, fittings, and line reviews.
Maintain organized development documentation and records.

Requirements

5 to 7 years of product development experience.
Solid understanding of garment construction, fit, grading, and fabrication.
Experience working across multiple apparel categories is required.
Experience with raw material development is preferred.
Overseas vendor communication and development experience.
Ability to manage multiple seasonal deadlines simultaneously.
Strong cross-functional communication, collaboration, and problem-solving skills.
Detail-oriented with strong commercial awareness.
Proficiency in PLM systems and Microsoft Office.

Technologies

PLM systems
Microsoft Office

Benefits

Comprehensive medical, dental, and vision coverage
401(k) retirement plan with company match (eligibility based on hours worked)
Generous paid time off and paid holidays
Hybrid or flexible work environment (role-dependent)
Company-paid life insurance and disability coverage
Optional Critical Illness and Accident insurance
Employee Assistance Program (EAP)
Clothing allowance and generous discounts on J.McLaughlin merchandise
Discretionary bonus opportunities (role-dependent)
Employee referral incentives and commuter benefits

Additional responsibilities

Perform other related duties as assigned.

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3d ago

Quantitative Developer - Securitized Products

Clearwater Analytics, LLC New York, NY 🇺🇸 Remote

New York, NY

3d ago

$156k - $211k/yr Full time Python Capital Markets CMBS

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Job Description

Clearwater Analytics, LLC invites applications for a Quantitative Developer focused on securitized products within the Quant team. The role encompasses building pricing libraries, valuation and risk analytics, and cash flow modeling for ABS, CLO, MBS, and CMBS, progressing from model development to production deployment with client interaction. Collaboration with cross-functional teams will enhance the platform's structured products capabilities. This position is based in New York, NY with remote work options.

Responsibilities

Develop and maintain pricing libraries and analytical models for securitized products including ABS, CLO, MBS, CMBS, and other structured credit instruments
Build, extend, and maintain frameworks within the platform supporting securitized product lifecycle management, including cash flow generation, prepayment modeling, credit enhancement structures, and tranche-level analytics
Implement and maintain risk analytics covering interest rate sensitivities (DV01, duration, convexity), spread risk, scenario analysis, and stress testing across structured product portfolios
Design and develop models for prepayment, default, and loss severity - calibrated to market conventions and client-specific requirements
Identify and advocate for new models and design patterns necessary for the continuous improvement of an evolving infrastructure to support all clients
Produce high-quality documentation targeting both technical and non-technical audiences, supporting and expanding engineering solutions

Requirements

1–3 years of experience in quantitative development with a focus on securitized or structured products
Strong understanding of structured product mechanics - deal structures, waterfall logic, cash flow prioritization, credit enhancement, and tranche-level risk
Familiarity with prepayment models (for example PSA, CPR) and credit risk frameworks applicable to ABS, MBS, CMBS, and CLO structures
Experience developing production-quality code, preferably in Python, with a strong software engineering foundation
Strong problem-solving and communication skills - ability to convey technical topics clearly to both technical and non-technical audiences