Early Career Software Engineer at Trexquant | New York

Trexquant is hiring a Senior Data Architect to lead the creation of a new data platform for quantitative research and simulation. This role centers on building a scalable system that unifies data from hundreds of vendors, ensuring reliable and accessible information for research and alpha generation across multiple asset classes. Key Responsibilities Design and implement a data platform that consolidates vendor datasets, offering consistent, high-quality access for research and simulation teams. Develop storage and retrieval solutions to support large-scale historical backtesting and high-frequency research. Create user-friendly interfaces and APIs, enabling researchers to discover variables, review metadata, and assemble standardized datasets for rapid idea testing. Work closely with quantitative researchers and simulation teams to understand their requirements and ensure the platform meets analytical and performance needs. Set standards for data modeling, normalization, version control, and quality assurance across diverse asset classes and sources. Partner with infrastructure and DevOps teams to enhance data pipelines, caching, and distributed storage for improved scalability and reliability. Prototype and launch internal tools that improve research efficiency and data transparency. Mentor data engineers, supporting well-documented and maintainable data systems. Platform Scope The platform will handle data for a broad range of financial instruments, including equities, futures, FX, ETFs, corporate bonds, and options. The focus is on transforming raw vendor feeds into structured, analysis-ready datasets that enable systematic research and backtesting. Location This position is based in New York, New York, United States.

Trexquant is a systematic fund focused on quantitative finance, with a team of researchers and engineers dedicated to advancing trading operations. The company is investing in its quantitative research and trading platform, aiming to shape the future of systematic trading. This early career Software Engineer role is based in New York and offers the chance to work alongside experienced engineers and quantitative researchers. The position centers on building and improving the infrastructure that supports systematic trading, including data pipelines, backtesting tools, and execution systems. Many projects involve greenfield development, offering opportunities to help design and implement new systems from the ground up. What you will do Develop low-latency, high-throughput research and trading systems using languages such as C++, C, Java, or Rust. Design and optimize data processing pipelines to ensure reliable access to large, high-quality datasets. Help create tools for backtesting, model training, and strategy evaluation. Work with researchers and traders to deliver technical solutions that support research and trading performance. Participate in code reviews, testing, and documentation to maintain high standards. Stay current with new technologies and best practices, contributing ideas to improve systems. Requirements Bachelor's or Master's degree in Computer Science or a related STEM field. Strong grasp of data structures, algorithms, and object-oriented programming. Proficiency in at least one programming language: C++, C, Python, Java, or Rust. Familiarity with Linux environments. Strong problem-solving skills and the ability to learn quickly in a team setting. Benefits Competitive salary with performance-based bonuses. Supportive and friendly workplace culture. Full coverage of PPO health, dental, and vision insurance premiums for employees and dependents. Pre-tax commuter benefits. Weekly company meals. Compensation The base salary range for this role is $130,000 to $175,000, depending on educational and professional background. Compensation may also include a discretionary, performance-based bonus. This position is overtime-exempt. Applications are open for both Stamford and New York City offices. The New York office is expected to open in October 2026. Trexquant is an Equal Opportunity Employer.

Trexquant is a premier systematic hedge fund that employs cutting-edge machine learning and quantitative strategies to maintain a market-neutral portfolio. With a global presence spanning the U.S., China, and India, our innovative team of researchers, technologists, and finance experts is dedicated to advancing the field of quantitative finance.We are on the lookout for a motivated and detail-oriented Business Development and Strategy Associate to enhance our growing statistical arbitrage hedge fund. In this role, you will collaborate closely with the Chief Strategy Officer to identify new business opportunities, implement initiatives for process and product improvements, and drive the firm's growth through data-centric decisions. The ideal candidate will demonstrate robust analytical and project management abilities, along with an entrepreneurial mindset to expand our market presence and reinforce our competitive advantage.

About UsTetraScience is at the forefront of the Scientific Data and AI revolution. Our mission is to transform scientific data into AI-native datasets, powering a suite of cutting-edge lab data management solutions and scientific applications that lead to AI-enabled outcomes.As the category leader in this emerging market, TetraScience surpasses all competitors in revenue and innovation. In the past year, major players in computing, cloud services, data management, and AI have partnered with us, establishing TetraScience as the industry standard. For more insights, check out our Latest News and Announcements.Prospective candidates are encouraged to review the Tetra Way letter penned by our co-founder and CEO, Patrick Grady. This document is pivotal in helping you assess whether our values align with yours. We urge you to embrace its principles, as they will be central to your role and impact at TetraScience.Your ProfileYou are a product-driven and outcome-focused expert in technical scientific solutions.As a high-energy self-starter, you navigate uncertainty with confidence, continuously designing and implementing innovative solutions.You take a hands-on approach, readily prototyping and developing to meet user needs quickly.Collaboration is your forte; you work effectively with scientists, product managers, and engineers to turn complex scientific data into actionable insights. Your engagement with both scientific and business stakeholders ensures you maximize the value derived from scientific data.With extensive experience in applying advanced data methodologies within the biopharma R&D landscape, you are adept at linking current challenges to scalable solutions.As an avid learner, you consistently seek to deepen your knowledge of new tools and methodologies.You embody the spirit of extreme ownership and have a proven track record of developing scalable data models and applications for biopharma clients, optimizing their data through integration with AI/ML.This position demands exceptional self-discipline and determination as we pioneer a category that will redefine the scientific landscape.

ABOUT THE ROLEJoin our dynamic team as a Staff Data Architect and shape the future of data architecture! In this pivotal role, you will be responsible for the architecture of domain-scale data systems. You will define the target architecture for your domain, set enforceable standards and data contracts, and empower various teams to create governed, reliable, and reusable data products. You’ll ensure high-quality architecture decisions, semantic consistency, and the adoption of shared patterns across your domain, influencing how data is designed and governed. Your focus will be on creating a scalable and consistent architecture that enhances data delivery. YOUR GAME PLANEvery team member plays a crucial role! Define and maintain a North Star architecture and multi-quarter roadmap in line with business priorities. Establish and enforce data modeling standards, canonical definitions, and schema evolution practices. Define and operationalize data product contracts, including ownership, quality expectations, and versioning discipline. Lead architecture governance and design reviews at the domain level, ensuring all decisions are documented and stakeholder concerns addressed. Engage in hands-on prototyping and framework building to drive MVP execution. Define scalable Lakehouse and platform patterns using Databricks, aligned with performance, cost, reliability, and security requirements. Embed data quality, metadata, lineage, and compliance into architectural standards from the outset. Lead strategies for domain migration and deprecation to reduce technical debt and long-term risk. Collaborate across Data Engineering, Product Engineering, Product, Security, Governance, Analytics, and other stakeholders to translate business intent into actionable architectural direction. Influence the adoption of architectural standards across multiple teams without direct authority.

Join Sonsoft Inc. as a Big Data Architect and play a pivotal role in shaping our data architecture strategy. As a vital member of our team, you will design and implement robust data solutions that enhance our analytics capabilities. Collaborate with cross-functional teams to identify data requirements and build scalable data infrastructure.

Join our dynamic team as a Senior Solutions Architect, where you will leverage your CCIE certification to deliver advanced network architecture and engineering solutions. This pivotal role involves strategic design and architecture while addressing critical operational needs.Support daily network operations to ensure uptime, performance, and continuity.Conduct L2/L3 troubleshooting across routing, switching, and production Cisco environments (IOS, IOS-XE, IOS-XR).Facilitate protocol redistribution, configuration updates, and change management activities.Assist in patching, upgrades, migrations, and lifecycle operations.Perform root cause analysis (RCA) and offer optimization recommendations.Contribute to security hardening and assist during incident response efforts.Maintain comprehensive network documentation, including diagrams, SAN mappings, and configuration records.Provide ongoing knowledge transfer to enhance internal operational capabilities.

At Trexquant, a cutting-edge systematic hedge fund, we leverage a multitude of statistical algorithms to navigate global equity, futures, and other markets. Our approach harnesses extensive datasets to create comprehensive feature sets, utilizing advanced machine learning techniques to unearth trading signals and integrate them into market-neutral portfolios. We are actively seeking talented individuals from diverse backgrounds, including data science, physics, engineering, economics, and programming, to pioneer the next wave of machine learning strategies that adeptly forecast the movements of liquid financial assets.As a Quantitative Researcher, you will engage in the development of market-neutral signals, meticulously parse and analyze large datasets, and collaborate with the Data and Strategy Research team to construct a variety of predictive models. While we welcome expertise across all asset classes, our immediate focus lies on equities, futures, commodities, and event-driven research.

We are seeking an experienced ETL Architect to join our dynamic team at Integrated Resources Inc. in New York. The ideal candidate will be responsible for designing and implementing robust ETL processes to facilitate the seamless transfer of data across various systems. This role requires a deep understanding of data integration, transformation, and loading methodologies as well as a strong proficiency in ETL tools.

Join Datadog’s Implementation Services team, where we empower customers to swiftly implement and deploy the Datadog platform. As a key architect, you will spearhead the discovery, design, build, and launch processes, ensuring our clients achieve maximum value from their investment. Your role will include crafting a detailed technical roadmap for each implementation, guiding customers through every phase of their journey.At Datadog, we cherish our office culture, which fosters collaboration, creativity, and strong relationships. Our hybrid workplace model promotes work-life harmony, allowing our Datadogs to thrive both personally and professionally.

Join StubHub, a leader in redefining the live event experience on a global level. From first-time attendees to seasoned concertgoers, we strive to enhance every ticketing journey, ensuring our platform is the safest and most convenient for fans and sellers alike, whether they are individuals selling a single ticket or promoters orchestrating a global stadium tour.We are on the lookout for a skilled Senior Data Engineer to become an integral part of our Data team. In this capacity, you will design and implement the foundational systems and pipelines necessary for centralizing both StubHub’s internal data and third-party data sources. Our mission is to empower company-wide organizations to leverage data for analysis, reporting, new product innovation, experimentation, and machine learning. Your responsibilities will include developing the core infrastructure for our data lake and data warehouse, creating essential data models and pipelines, and crafting shared tools to facilitate the generation of high-quality, trustworthy data assets.As a Senior Data Engineer within the Data Platform team, your contributions will be pivotal in shaping core infrastructure, frameworks, and analytical data layers. You will also help define a culture of excellence in data engineering and mentor team members to achieve these standards. We seek a candidate who is not only passionate about the synergy between data and software development fundamentals but also capable of employing these principles to build a data ecosystem that is principled, maintainable, and scalable in alignment with StubHub's rapid growth. You will develop expertise in specific business domains, proactively anticipating the needs of those verticals.Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA

About the RoleWe are looking for a talented Senior Data Architect / Application Engineer to become a pivotal part of our dynamic team. In this role, you will design, develop, and maintain robust data platforms and application infrastructure. Your expertise will drive innovative data solutions while ensuring the reliability, security, and performance of our platforms.Location: New York City, NY (Hybrid – 3 days onsite)Interview Process: In-person interview required in NYC.Work Authorization: Only W2 candidates will be considered. C2C is allowed only if the candidate is a US Citizen or Green Card holder with their own corporation.Key ResponsibilitiesLead architecture and technical design discussions leveraging industry best practices and cutting-edge technologies.Support production operations and troubleshoot complex issues within the Credit Risk application platform.Design and implement batch and ad-hoc data pipelines utilizing Medallion Lakehouse architecture on modern cloud platforms, primarily Databricks.Build and maintain data ingestion pipelines from upstream systems into object storage (e.g., S3, ADLS) using formats like Parquet, including partitioning, z-ordering, and schema evolution.Integrate with external XVA / risk engines to expand analytical capabilities.

Role overview Trexquant is looking for a Linux Systems Engineer to support and enhance its on-premise infrastructure in New York. The position involves direct, hands-on work with bare-metal Linux servers. Daily tasks include provisioning new hardware, managing storage resources, and working to keep systems reliable and efficient in a production environment. What you will do Set up and maintain physical Linux servers Oversee storage systems and uphold data integrity Monitor system health and implement improvements to reliability in production environments Who thrives in this role Approaches system administration with care and discipline Feels comfortable in production-critical situations Brings a strong grasp of Linux internals, automation tools, and high-performance system setups Location This role is based in New York, New York, United States, with a focus on managing on-premise, physical infrastructure.

Role overview The Senior Data Engineer at NBCUniversal Media, LLC plays a key part in developing and maintaining data solutions that power analytics and business intelligence throughout the organization. Based in New York, this position collaborates with teams from various departments to ensure that data remains accurate, accessible, and prepared for analysis. What you will do Design and build data pipelines and systems that meet analytics requirements Collaborate with cross-functional teams to uphold strong data quality and availability standards Apply modern technologies to streamline and automate data processing workflows

Join Metropolis as a Senior Data Engineer, where you will play a pivotal role in transforming our data infrastructure. You will collaborate with a dynamic team to design, implement, and maintain scalable data pipelines that empower data-driven decision-making across the organization. Your expertise will be crucial in optimizing data processes and ensuring data quality.

Polymarket operates the world’s largest prediction market platform, letting people trade on the outcomes of events in politics, economics, sports, culture, and current affairs. As a decentralized peer-to-peer marketplace, Polymarket aggregates diverse perspectives into transparent, market-based probabilities, reflecting collective expectations about the future. With $21B traded in 2025, Polymarket is growing quickly and aims to become a trusted source of truth in global media. The Senior Data Engineer role centers on advancing the data platform that underpins every user-facing aspect of Polymarket. The data layer supports features like leaderboards, PnL, activity feeds, positions, and analytics, all with strict sub-100ms latency goals at crypto scale. This position is based in New York and joins a small, high-ownership team where engineers manage workflows end-to-end, not just follow a set roadmap. Role overview This role involves hands-on work in design, architecture, and delivery. The main goal is to strengthen Polymarket’s analytics and data serving layer so it becomes a reliable foundation for the company. The Senior Data Engineer will tackle issues such as schema drift, migration parity, latency regressions, and cost management. When questions arise about data layer performance or cost, this engineer will either provide answers or redesign components to meet targets. What you will do Own the OLAP analytics layer. Lead the columnar warehouse from raw event ingestion to cleaned facts, business aggregates, and API-serving views. Tasks include materialized view design, refresh schedules, catalog management, query planning, and cost optimization. Partner on the OLTP serving layer. Work with the team on high-write serving tables that power product APIs. Focus on partition strategy, indexing, trigger pipelines, autovacuum tuning, and bloat monitoring, while maintaining sub-100ms read path targets. Shape streaming and data lake infrastructure. Define Kafka topic schema contracts, update the S3 lake layout with modern table formats, and contribute to tools that validate data accuracy during migrations. Design data models at scale. Work with event-sourced, append-mostly data that includes chain-reorganization semantics.

The City of New York is hiring a Data Engineer to support essential data projects that inform city decisions and strengthen public services. This full-time role is based in New York City and centers on using data analytics to address challenges across city operations. Role overview As a Data Engineer, you will play a key part in initiatives that shape how the city uses information to make choices and deliver services. The work involves collaborating with a team focused on improving processes and outcomes for residents. What you will do Contribute to projects that gather, organize, and analyze data for city departments Help translate complex data into practical insights for decision-makers Work with colleagues to find solutions that enhance city operations and public services Location This position is based in New York City and requires full-time availability.

Join NielsenIQ as a Data Architect - T7, where you will play a pivotal role in shaping and optimizing our data architecture. You will be responsible for designing, implementing, and managing complex data systems that drive our analytics and business insights.Your expertise will help us transform data into actionable insights, ensuring that our systems are robust, scalable, and secure.

About RainAt Rain, we are revolutionizing the world of payments by making the next generation of financial transactions possible globally. Our team consists of dynamic builders and seasoned founders who are passionate about innovation. We enable the practical use of stablecoins through our infrastructure that supports card transactions, cross-border payments, B2B purchases, remittances, and more. Collaborating with fintech companies, neobanks, and institutions, we provide solutions that are global, inclusive, and efficient. Join us in shaping a borderless financial future at a rapidly growing company backed by top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, and Khosla.Our EthosWe promote an open and flat organizational structure, allowing team members to thrive in roles that align with their career aspirations. Everyone at Rain is encouraged to explore their ideas and contribute to the company's roadmap and vision.Role OverviewWe are in the process of building a modern data team, and we seek a proactive Senior Data Analyst. This role is critical in ensuring that our data is not just available but also actionable and embraced by our teams.You will be responsible for the data tools and platforms relied upon by our leadership and teams, including dashboards, weekly insights, and thorough analyses that transform complex data signals into clear priorities and action plans.As a key player, you will ensure the accuracy and adoption of metrics by reconciling definitions, conducting acceptance tests, and closing instrumentation gaps, empowering teams to self-serve.Reporting directly to the Head of Business Operations, you will collaborate closely with our leadership, Product, and Customer teams to elevate our organization.Key ResponsibilitiesDevelop comprehensive dashboards and data sources that empower self-service, providing clear and trusted insights that guide daily operations and decision-making.Facilitate insights discovery by establishing a consistent rhythm to surface the most pertinent information for stakeholders.Take ownership of metric quality in alignment with stakeholders, partnering with Product and Engineering teams to ensure reliable answers to critical questions.

Join ShopMy – Powering the Future of Digital MarketingAt ShopMy, we are transforming the e-commerce landscape by creating an innovative infrastructure that supports human-led curation at scale.Our platform empowers brands to initiate and expand impactful, performance-focused creator programs while allowing influential creators to monetize their presence and collaborate directly with their favorite brands. ShopMy connects consumers with the world’s finest products through premium brands, trendsetting tastemakers, and authentic human curation.Having recently achieved unicorn status with a $1.5B valuation, backed by top investors like Bessemer Venture Partners, Avenir Growth Capital, and Bain Capital Ventures, we invite you to be part of shaping the future of curated commerce at the intersection of technology, culture, and taste.Your RoleWe are seeking a Senior Data Analyst to elevate ShopMy’s data team. In this pivotal role, you will be responsible for enhancing and managing our data foundation, ensuring the accuracy, completeness, and usability of our data.As a data analyst, you will not only interpret data but also enhance its reliability and functionality for team members. Your expertise in navigating data systems will help identify and resolve gaps, inconsistencies, and inefficiencies, driving value through optimized data practices. You are a technical, detail-oriented professional with a knack for prioritizing and solving problems in dynamic environments.Familiarity with a modern data stack (SQL, data pipelines, BI tools, scripting) is essential, as you will create systems that others trust and rely on. Over time, this position will evolve into a collaborative role with Product and Engineering teams to ensure new features and products are data-driven, measurable, and optimized for performance.Your ResponsibilitiesTake ownership of and continuously enhance ShopMy’s data foundation, ensuring it is reliable, scalable, and user-friendly.Design, build, and maintain robust data models and pipelines in Snowflake.Implement monitoring, alerting, and validation systems to proactively address data and product-related issues.Conduct audits and improve data quality across various sources, tracking systems, and transformations.Enhance data usability and accessibility for all stakeholders.