Analytics Engineer Jobs in New York
Analytics Engineer jobs in New York are among the most active in the country, concentrated in financial services, media and advertising technology, and enterprise software, with openings at every level from junior data analyst to principal engineer. The bulk of hiring is in New York City, with secondary clusters in Buffalo and Albany, where large employers like JPMorgan Chase, Verizon, and Bloomberg maintain substantial data and analytics teams. The most in-demand specializations are dbt-based transformation workflows, cloud data warehouse engineering on platforms like Snowflake and BigQuery, and analytics infrastructure for fintech and ad tech products. Find a role that fits below and apply directly.
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Job Description:
J ob Title Java Engineer - Fixed Income Pricing and Analytics
Corporate Title Vice President
Location New York, NY
Overview
You will play a key role in transforming Deutsche Bank's Rates and Credit Fixed Income technology landscape as part of a multi-year modernization program. You will help build a next-generation pricing and analytics platform that traders will use to price products and manage risk. Working in a small, cross-functional team, you will deliver real-time, high-performance, cloud-native services in frequent increments and progressively replace legacy capabilities. You will help shape the target architecture, champion engineering best practices, and partner directly with traders, quantitative analysts, and other business stakeholders to build a scalable platform designed for long-term use.
What We Offer You
- A diverse and inclusive environment that embraces change, innovation, and collaboration
- A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days
- Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
- Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits Educational resources, matching gift and volunteer programs
What You’ll Do
- Design and build real-time, low-latency Java services supporting Rates and Credit pricing, axes, risk, and analytics workflows
- Break down a complex legacy landscape into well-defined deliverables and use Agile practices to release modern capabilities to traders incrementally
- Partner directly with traders, quantitative analysts, and business stakeholders to understand pricing workflows, refine requirements, and deliver high-impact features
- Collaborate with front-end engineers to design end-to-end solutions, including streaming application programming interfaces that support real-time trading user interfaces
- Improve engineering quality through code reviews, automated testing, continuous integration and delivery, and observability, while owning services from design through production Influence the technical direction of the platform and support adoption of modern tools, frameworks, and AI-assisted development practices
How You’ll Lead
- Partner with traders and business stakeholders to translate pricing, risk, and analytics needs into clear technical priorities and incremental outcomes
- Collaborate with quantitative analysts and front-end engineers to shape end-to-end architecture, interfaces, and delivery plans Mentor engineers, guide sound architectural decisions, and promote consistent engineering standards across the modernization program
Skills You’ll Need
- Proven expertise building complex, high-performance applications in modern Java, including concurrency, memory management, garbage collection tuning, and reactive programming
- Strong knowledge of distributed systems and event-driven architecture, including messaging technologies such as Solace or Kafka and distributed caching
- Experience designing REST, gRPC, and streaming application programming interfaces, with solid Structured Query Language and relational database design skills
- Experience deploying and running containerized services on Kubernetes in production, using modern observability tools such as OpenTelemetry
- Proven technical leadership in large-scale modernization programs using iterative Agile delivery, test automation, continuous integration and delivery, code reviews, and sound architectural decisions Proven ability to leverage AI tools to enhance productivity, optimize workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs
Skills That Will Help You Excel
- Experience with Fixed Income products, electronic trading, pricing, or market data
- Experience with Kotlin and Spring Boot
- Ability to communicate complex technical topics clearly to technical and business stakeholders
- Curiosity and willingness to build knowledge of Fixed Income pricing and trading workflows A collaborative approach to working in small, cross-functional teams and incorporating feedback from users
Expectations
It is the Bank’s expectation that employees hired into this role will work in the New York office in accordance with the Bank’s hybrid working model.
Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion.
The salary range for this position in New York City is $125,000 to $222,500. Actual salaries may be based on a number of factors including, but not limited to, a candidate’s skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration.
Deutsche Bank Benefits
At Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. That’s why we are focused on providing benefits and perks that enable our colleagues to live authentically and be their whole selves, at every stage of life. We provide access to physical, emotional, and financial wellness benefits that allow our colleagues to stay financially secure and strike balance between work and home. Click here to learn more!
Learn more about your life at Deutsche Bank through the eyes of our current employees: https://careers.db.com/life
#LI-HYBRID
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Click these links to view Deutsche Bank’s Equal Opportunity Policy Statement and the following notices: EEOC Know Your Rights ; Employee Rights and Responsibilities under the Family and Medical Leave Act ; and Employee Polygraph Protection Act .
Job Description:
J ob Title Java Engineer - Fixed Income Pricing and Analytics
Corporate Title Vice President
Location New York, NY
Overview
You will play a key role in transforming Deutsche Bank's Rates and Credit Fixed Income technology landscape as part of a multi-year modernization program. You will help build a next-generation pricing and analytics platform that traders will use to price products and manage risk. Working in a small, cross-functional team, you will deliver real-time, high-performance, cloud-native services in frequent increments and progressively replace legacy capabilities. You will help shape the target architecture, champion engineering best practices, and partner directly with traders, quantitative analysts, and other business stakeholders to build a scalable platform designed for long-term use.
What We Offer You
- A diverse and inclusive environment that embraces change, innovation, and collaboration
- A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days
- Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
- Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits Educational resources, matching gift and volunteer programs
What You’ll Do
- Design and build real-time, low-latency Java services supporting Rates and Credit pricing, axes, risk, and analytics workflows
- Break down a complex legacy landscape into well-defined deliverables and use Agile practices to release modern capabilities to traders incrementally
- Partner directly with traders, quantitative analysts, and business stakeholders to understand pricing workflows, refine requirements, and deliver high-impact features
- Collaborate with front-end engineers to design end-to-end solutions, including streaming application programming interfaces that support real-time trading user interfaces
- Improve engineering quality through code reviews, automated testing, continuous integration and delivery, and observability, while owning services from design through production Influence the technical direction of the platform and support adoption of modern tools, frameworks, and AI-assisted development practices
How You’ll Lead
- Partner with traders and business stakeholders to translate pricing, risk, and analytics needs into clear technical priorities and incremental outcomes
- Collaborate with quantitative analysts and front-end engineers to shape end-to-end architecture, interfaces, and delivery plans Mentor engineers, guide sound architectural decisions, and promote consistent engineering standards across the modernization program
Skills You’ll Need
- Proven expertise building complex, high-performance applications in modern Java, including concurrency, memory management, garbage collection tuning, and reactive programming
- Strong knowledge of distributed systems and event-driven architecture, including messaging technologies such as Solace or Kafka and distributed caching
- Experience designing REST, gRPC, and streaming application programming interfaces, with solid Structured Query Language and relational database design skills
- Experience deploying and running containerized services on Kubernetes in production, using modern observability tools such as OpenTelemetry
- Proven technical leadership in large-scale modernization programs using iterative Agile delivery, test automation, continuous integration and delivery, code reviews, and sound architectural decisions Proven ability to leverage AI tools to enhance productivity, optimize workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs
Skills That Will Help You Excel
- Experience with Fixed Income products, electronic trading, pricing, or market data
- Experience with Kotlin and Spring Boot
- Ability to communicate complex technical topics clearly to technical and business stakeholders
- Curiosity and willingness to build knowledge of Fixed Income pricing and trading workflows A collaborative approach to working in small, cross-functional teams and incorporating feedback from users
Expectations
It is the Bank’s expectation that employees hired into this role will work in the New York office in accordance with the Bank’s hybrid working model.
Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion.
The salary range for this position in New York City is $125,000 to $222,500. Actual salaries may be based on a number of factors including, but not limited to, a candidate’s skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration.
Deutsche Bank Benefits
At Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. That’s why we are focused on providing benefits and perks that enable our colleagues to live authentically and be their whole selves, at every stage of life. We provide access to physical, emotional, and financial wellness benefits that allow our colleagues to stay financially secure and strike balance between work and home. Click here to learn more!
Learn more about your life at Deutsche Bank through the eyes of our current employees: https://careers.db.com/life
#LI-HYBRID
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Click these links to view Deutsche Bank’s Equal Opportunity Policy Statement and the following notices: EEOC Know Your Rights ; Employee Rights and Responsibilities under the Family and Medical Leave Act ; and Employee Polygraph Protection Act .
See All 49 Analytics Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Analytics Engineer JobsAnalytics Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Analytics Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Insurance
- Healthcare & Medical Services
- Investment & Asset Management
What New York Employers Look For
The qualifications that appear most often in analytics engineer jobs across New York.
- Proficiency in SQL and at least one analytics engineering tool such as dbt
- Experience with cloud data warehouses including Snowflake, BigQuery, or Redshift
- Bachelor's degree in computer science, statistics, mathematics, or a related field
- Ability to translate complex business requirements into clean, documented data models
- Familiarity with Python or R for data transformation and pipeline automation
- Experience collaborating with data analysts and data scientists in cross-functional teams
Analytics Engineer Jobs in New York: Frequently Asked Questions
How do you become a analytics engineer in New York?
Analytics engineering in New York requires no state-issued license, so the path runs through education and demonstrated technical skill. Most New York employers expect a bachelor's degree in computer science, statistics, or a related quantitative field, along with hands-on experience with SQL, dbt, and a cloud data warehouse. New York City's dense fintech and media-tech sectors strongly favor candidates who can show a portfolio of data models or transformation pipelines, and completing a recognized data engineering certification adds weight to applications at larger firms.
How much do analytics engineers make in New York?
Analytics engineers in New York earn a median of about $130,460 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $73,330 for the lowest 10% to over $214,080 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire analytics engineers in New York?
Employers hiring analytics engineers in New York right now include Ro, Meta, and HARVEY, based on current listings on Migrate Mate as of November 2026. New York's concentration of financial institutions, advertising technology companies, and large media organizations means demand is especially consistent for engineers who understand high-volume transactional data and real-time reporting pipelines.
Which New York cities have the most analytics engineer jobs?
New York and Fairport account for the most analytics engineer openings in New York. New York City dominates because of its density of financial services firms, ad tech companies, and enterprise software headquarters, while Buffalo and Albany attract demand from healthcare systems, state government technology offices, and regional insurers that have built out modern data infrastructure in recent years.
Are there remote analytics engineer jobs in New York?
Yes, and more than most fields. Analytics engineering is a desk-based, tool-driven discipline that translates well to remote work, making it one of the more remote-accessible roles in the data profession. About 77% of analytics engineer openings tied to New York are remote or hybrid as of November 2026, reflecting how broadly New York employers have adopted flexible arrangements for data roles. The parts of the job most commonly done remotely are data modeling, documentation, and code review, while on-site presence is more often expected during stakeholder alignment or platform migrations.
How can I get hired as a analytics engineer in New York with little or no experience?
The most realistic entry path is moving laterally from a data analyst or business intelligence role, since New York employers regularly promote or convert analysts who demonstrate proficiency with dbt and SQL into junior analytics engineer positions. Large New York financial institutions and media companies often run structured associate data programs that accept recent graduates without prior engineering experience. Building a public portfolio of dbt projects or contributing to open-source data tooling strengthens applications considerably, and completing a cloud platform certification such as Snowflake SnowPro Core signals readiness to New York hiring teams looking for candidates who can ramp quickly.
Where can I find and apply to analytics engineer jobs in New York?
You can find and apply to analytics engineer jobs in New York on Migrate Mate, which lists current openings in the state. Search the listings to find roles that match your experience level, preferred location, and technical stack, then apply directly to the ones that fit.
See All 49 Analytics Engineer Jobs in New York
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