MarketAxess
About Us
MarketAxess is on a journey to digitally transform one of the world’s largest financial markets, enabling the shift from analog, phone‑based trading to a fully electronic marketplace. Our platform makes fixed‑income trading more accessible, improving transparency, efficiency, and competition. Over 2,000 clients worldwide rely on our solutions, and that number is only expected to grow.
Role We are seeking a hands‑on Senior Data Engineer to join our Data and Analytics Platform team, driving the strategy, design and implementation of our next‑generation cloud‑based Data Fabric and Data Mesh platform (Data Platform 2.0). This is a deeply technical role for a builder who enjoys writing high‑quality code, designing scalable systems, and collaborating directly with engineering teams to implement complex, real‑time data solutions.
Our Vision We believe decentralized data is the future, with Data Platform 2.0 unlocking its potential. Our vision is a world where data is treated as a product, ownership is distributed to foster innovation, and domain‑oriented, decentralized infrastructure drives agility and collaboration.
How You’ll Help Take Us There
Collaborate with Product Managers, Data Scientists, Engineers and analysts on critical initiatives to build and distribute revenue‑producing data products.
Architect, design, build and implement data pipelines and products to support Agentic AI, Streaming SQL, ML and analytical use cases.
Lead the architecture, implementation and operations of platforms and tools for securing, processing and querying data at scale.
Research and introduce new technologies within the team.
Collaborate with and across Agile teams to design, develop, test and implement data and analytics solutions.
Design, build and scale infrastructure in Cloud (e.g., AWS, Iceberg, Bedrock) and analytics applications using big data and machine learning technologies.
Participate in setting standards for cloud‑based initiatives.
Architect and develop end‑to‑end scalable data applications and pipelines.
What We’re Looking For
9+ years of progressive software/data engineering experience with high proficiency in two of the following: Spark, Python, and/or Java.
Experience in cloud computing (applications, infrastructure, storage, data and platforms).
Designing and building complex, highly scalable, reliable data pipelines using the Big Data ecosystem (Spark Data Analytics, Iceberg, Glue Catalog, Kafka or equivalents).
Cloud‑native application and cloud services architecture on AWS (MSK, Flink, Bedrock, Lambdas, Spark/EMR).
API and microservices architecture.
Streaming and event processing architectures and platforms (e.g., Kafka, FlinkSQL, Python).
Structured and unstructured databases and usage patterns.
High‑speed, high‑volume, high‑frequency transaction processing systems.
Real‑time logging, monitoring and resiliency approaches.
Process automation approaches and tooling (e.g., DevOps, GitOps, AIOps).
UNIX/Linux OS and scripting skills.
Infrastructure as code technologies (Terraform, Helm Charts, CloudFormation).
Databases (SQL and NoSQL: Redis, Oracle, DuckDb, OpenSearch, Mongo, etc.).
Knowledge of Docker, Kubernetes is a plus.
Craftsman‑like approach to building software; pride in engineering excellence.
Proponent of strong collaborative engineering techniques: agile, CI/CD, code review, unit testing, refactoring.
Excellent problem‑solving and critical‑thinking skills.
Proven ability to build and maintain effective, trusting partnerships with product managers and technical leads.
E‑trading and financial services industry experience is a plus.
Strong presentation skills: written and verbal communication, influencing.
What You Can Expect From Us
Hybrid Environment: mix of office and remote work.
Free Food: lunch and snacks in office.
Paid Time Off: competitive PTO, vacation, personal days, sick leave, charity days.
Generous Parental Leave: up to 20 weeks fully paid.
401(k): dollar‑for‑dollar employer match up to $17,500.
Employee Stock Purchase Plan.
Wellness Stipend: up to $1,000 annually for gym, home office, etc.
Onsite Healthcare: access to world‑class care at Mount Sinai Hudson Yards.
Tuition Assistance and Professional Development.
Core benefits: medical, dental, vision.
Salary and Compensation For positions in NYC, NY, and other required locations, the estimated salary range for a new hire in this role is $150,000 USD to $225,000 USD. Actual salary may vary based on factors such as knowledge, skills, experience, and location. Candidates may also be eligible for annual cash incentives, equity, and other benefit programs.
EEO Statement MarketAxess Corporation and its affiliates provide equal employment opportunities to all persons regardless of age, color, national origin, citizenship status, disability, race, religion, creed, gender, sex, sexual orientation, gender identity, genetic information, marital status, veteran status, or any other legally protected characteristic in the location in which the candidate is applying.
Privacy Notice All of your information will be kept confidential according to EEO guidelines.
Additional Notices CCPA Notice at Collection for California Employees and Applicants.
#J-18808-Ljbffr
Role We are seeking a hands‑on Senior Data Engineer to join our Data and Analytics Platform team, driving the strategy, design and implementation of our next‑generation cloud‑based Data Fabric and Data Mesh platform (Data Platform 2.0). This is a deeply technical role for a builder who enjoys writing high‑quality code, designing scalable systems, and collaborating directly with engineering teams to implement complex, real‑time data solutions.
Our Vision We believe decentralized data is the future, with Data Platform 2.0 unlocking its potential. Our vision is a world where data is treated as a product, ownership is distributed to foster innovation, and domain‑oriented, decentralized infrastructure drives agility and collaboration.
How You’ll Help Take Us There
Collaborate with Product Managers, Data Scientists, Engineers and analysts on critical initiatives to build and distribute revenue‑producing data products.
Architect, design, build and implement data pipelines and products to support Agentic AI, Streaming SQL, ML and analytical use cases.
Lead the architecture, implementation and operations of platforms and tools for securing, processing and querying data at scale.
Research and introduce new technologies within the team.
Collaborate with and across Agile teams to design, develop, test and implement data and analytics solutions.
Design, build and scale infrastructure in Cloud (e.g., AWS, Iceberg, Bedrock) and analytics applications using big data and machine learning technologies.
Participate in setting standards for cloud‑based initiatives.
Architect and develop end‑to‑end scalable data applications and pipelines.
What We’re Looking For
9+ years of progressive software/data engineering experience with high proficiency in two of the following: Spark, Python, and/or Java.
Experience in cloud computing (applications, infrastructure, storage, data and platforms).
Designing and building complex, highly scalable, reliable data pipelines using the Big Data ecosystem (Spark Data Analytics, Iceberg, Glue Catalog, Kafka or equivalents).
Cloud‑native application and cloud services architecture on AWS (MSK, Flink, Bedrock, Lambdas, Spark/EMR).
API and microservices architecture.
Streaming and event processing architectures and platforms (e.g., Kafka, FlinkSQL, Python).
Structured and unstructured databases and usage patterns.
High‑speed, high‑volume, high‑frequency transaction processing systems.
Real‑time logging, monitoring and resiliency approaches.
Process automation approaches and tooling (e.g., DevOps, GitOps, AIOps).
UNIX/Linux OS and scripting skills.
Infrastructure as code technologies (Terraform, Helm Charts, CloudFormation).
Databases (SQL and NoSQL: Redis, Oracle, DuckDb, OpenSearch, Mongo, etc.).
Knowledge of Docker, Kubernetes is a plus.
Craftsman‑like approach to building software; pride in engineering excellence.
Proponent of strong collaborative engineering techniques: agile, CI/CD, code review, unit testing, refactoring.
Excellent problem‑solving and critical‑thinking skills.
Proven ability to build and maintain effective, trusting partnerships with product managers and technical leads.
E‑trading and financial services industry experience is a plus.
Strong presentation skills: written and verbal communication, influencing.
What You Can Expect From Us
Hybrid Environment: mix of office and remote work.
Free Food: lunch and snacks in office.
Paid Time Off: competitive PTO, vacation, personal days, sick leave, charity days.
Generous Parental Leave: up to 20 weeks fully paid.
401(k): dollar‑for‑dollar employer match up to $17,500.
Employee Stock Purchase Plan.
Wellness Stipend: up to $1,000 annually for gym, home office, etc.
Onsite Healthcare: access to world‑class care at Mount Sinai Hudson Yards.
Tuition Assistance and Professional Development.
Core benefits: medical, dental, vision.
Salary and Compensation For positions in NYC, NY, and other required locations, the estimated salary range for a new hire in this role is $150,000 USD to $225,000 USD. Actual salary may vary based on factors such as knowledge, skills, experience, and location. Candidates may also be eligible for annual cash incentives, equity, and other benefit programs.
EEO Statement MarketAxess Corporation and its affiliates provide equal employment opportunities to all persons regardless of age, color, national origin, citizenship status, disability, race, religion, creed, gender, sex, sexual orientation, gender identity, genetic information, marital status, veteran status, or any other legally protected characteristic in the location in which the candidate is applying.
Privacy Notice All of your information will be kept confidential according to EEO guidelines.
Additional Notices CCPA Notice at Collection for California Employees and Applicants.
#J-18808-Ljbffr