Senior Data Engineer - New York - MarketAxess

    MarketAxess
    MarketAxess New York

    2 weeks ago

    Description
    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. Why does this matter? Because our platform makes trading fixed-income more accessible, ultimately improving transparency, efficiency, and competition in the marketplace. Changing the way an established industry transacts is no easy feat. There will be twists and turns, because no one's ever done this before. But now, more than 2,000 clients around the world rely on our solutions, and that number is only expected to grow in the years ahead. We know where we're going. How we get there is up to us. Join us and help Take Us There.
    The 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 working directly with engineering teams to implement complex, real-time data solutions. You'll be equally comfortable sketching out an event-driven architecture for a business unit, contributing code to shared data infrastructure, and guiding implementation across multiple domains. This role is pivotal to enabling teams to create scalable, data-driven products and underpinning our enterprise-wide data strategy.
    Our Vision
    We believe decentralized data is the future, with Data Platform 2.0 as the key to 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. While supporting challenging data sets, and, flexible scenarios required for Agentic AI, Sandbox environments and more
    The Data Platform 2.0 transforms data into a strategic asset. Through well-defined data domains and business ownership, we aim to:
    • Empower teams with self-serve data infrastructure
    • Treat Data Domains as first-class products
    • Shift responsibility to domain teams to foster accountability and innovation
    By embracing platform thinking and adhering to the four pillars of Data Mesh: data ownership, data as a product, self-service infrastructure, and federated governance. We are enabling a seamless experience for creating, discovering, and utilizing trusted, connected, and real-time data.
    If you are passionate about shaping the future of data through cutting-edge architectures, fostering a culture of data stewardship, and enabling decentralized innovation, we'd love to hear from you
    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 and support data pipelines and products to support Agentic Al, 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
    • Provide the leadership and research of 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 the standards for cloud-based initiatives
    • Architect and develop end to end scalable data applications and data 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 (e.g. 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 - Kafka, Flink, Bedrock, Lambdas, Spark/EMR)
    • API and microservices architecture
    • Streaming and event processing architectures and platforms (e.g., Kafka, FlinkSQL, Python) . Including topic design, provisioning and config.
    • 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 and AIOps)
    • UNIX/Linux OS and scripting skills.
    • Infrastructure as code technologies, such as Terraform, Helm Charts and CloudFormation
    • Databases, both SQL and NoSQL (Redis, Oracle, DuckDb, OpenSearch, Mongo, etc)
    • Knowledge in Docker, Kubernetes is a plus
    • Craftsman-like approach to building software; takes pride in engineering excellence and instils these values within the team and others
    • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review or pairing, unit testing, refactoring and related approaches
    • Excellent problem-solving and critical-thinking skills; demonstrated ability to employ fact-based decision-making to resolve complex problems, by applying logic analysis, experience and business knowledge
    • Proven ability to build and maintain effective, trusting partnerships with product managers, architects and technical leads for individual products and applications
    • E-trading and financial services industry experience is a plus
    • Ability to leverage GenAI tools (e.g., GitHub Copilot or equivalent) to accelerate development and improve code quality.
    • Skill in applying AI-driven practices such as prompt engineering and AI-assisted code reviews to boost productivity and reduce delivery time while mitigating risks.
    What You Can Expect from Us
    • Hybrid Environment: Our employees enjoy a mix of working in the office and from home
    • Free Food: We provide free lunch for employees when they are working in the office. Plus, our offices are stocked with snacks
    • Paid Time Off: Competitive PTO package including vacation and personal days, sick leave and charity days
    • Generous Parental Leave: Up to 20 weeks fully paid leave
    • 401(k): Dollar-for-dollar employer match up to $17,500
    • Employee Stock Purchase Plan: Employees can purchase MarketAxess common stock at a discount
    • Wellness Stipend: We provide employees with up to $1K annually towards gym memberships, home office equipment and more
    • Onsite Healthcare: We offer convenient access to world-class care through Mount Sinai at our Hudson Yards location
    • Tuition Assistance and Professional Development: Benefit from live and on-demand learning, role-specific training, employee-led Lunch and Learns and guest speakers
    • Core benefits: Highly competitive medical, dental, and vision programs
    For job positions in NYC, NY, and other locations where required, the estimated salary range for a new hire into this position is $150,000 USD to $225,000 USD. Actual salary may vary depending on job-related factors, which may include knowledge, skills, experience, and location. You may also be eligible for annual cash incentives, equity, and other benefit programs.
    MarketAxess Corporation and its affiliates provide equal employment opportunities to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, veteran status, or any other legally protected characteristic in the location in which the candidate is applying.
    All of your information will be kept confidential according to EEO guidelines.
    MarketAxess Privacy Notice for Candidates
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