Data engineer jobs in Bridgeport, CT

We are seeking a C++ Market Data Engineer to design and optimize ultra-low-latency feed handlers that power global trading systems. This is a high-impact role where your code directly drives real-time decision making. What You'll Do: Build high-performance feed handlers in modern C++ (14/17/20) for equities, futures, and options Optimize systems for micro/nanosecond latency with lock-free algorithms and cache-friendly design Ensure reliable data delivery with failover, gap recovery, and replay mechanisms Collaborate with researchers and engineers to align data formats for trading and simulation Instrument and test systems for continuous performance improvements What We're Looking For: 3+ years of C++ development experience (low-latency, high-throughput systems) Experience with real-time market data feeds (e.g., Bloomberg B-PIPE, CME MDP, Refinitiv, OPRA, ITCH) Strong knowledge of concurrency, memory models, and compiler optimizations Python scripting skills for testing and automation Familiarity with Docker/Kubernetes and cloud networking (AWS/GCP) is a plus

Senior Power BI & Systems Integration Developer Type: Contract-to-Hire or Full-time Our client, a leading precision manufacturing company in Connecticut, is seeking a Senior Power BI & Systems Integration Developer to join their IT team. This strategic role is central to modernizing ERP and MES systems, leading critical integration initiatives, and enhancing data-driven decision-making across the organization. The position offers the opportunity to influence IT strategy, optimize operational workflows, and deliver insights that directly impact business outcomes in a fast-paced, high-visibility environment. Key Responsibilities: Lead the design, development, and optimization of Power BI dashboards and advanced data models to provide actionable insights for senior management and operational teams. Drive ERP and MES integration projects, ensuring accurate real-time visibility into production, Work-In-Progress (WIP), and operational KPIs. Collaborate closely with business and IT leadership to define requirements, architect solutions, and implement high-impact initiatives. Required Skills and Experience: Senior-level expertise: 10+ years of experience in Power BI, SQL, and data integration technologies (APIs, .NET, Python, etc.). Proven experience with ERP systems (Infor LN preferred) and MES platforms (Aegis FactoryLogix preferred). Strong ability to translate complex business needs into technical solutions. Software engineering experience (e.g., .NET) is a strong plus. Exceptional communication skills, with experience presenting insights to executive leadership. On-site presence required; local candidates strongly preferred. This is a full-time position that may start as a contract-to-hire as well….great opportunity to make an immediate impact and grow with a company investing in its next phase of digital transformation. Must be a U.S. Citizen or Green Card holder (federal contract requirement) By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: ************************************

Position Type: Full-Time / Direct Hire (W2) Salary: $200K+ base + 13% bonus Experience Required: 10-20 years Domain: Industrial Automation & Robotics Work Authorization: US Citizen or Green Card Interview Process: 2× Teams Interviews → Onsite Interview (expenses paid) “How Many Years With” (Candidate Screening Section) C: C++: RTOS: Embedded Software Development: Device Driver Software Development: Job Description We are seeking a Principal Software Engineer - Embedded Systems to join a high-performance engineering team building next-generation industrial automation and robotics platforms. This role blends hardware, firmware, real-time systems, machine learning components, and high-performance automation into one of the most technically challenging environments. The ideal candidate is passionate about writing software that interacts directly with real machines, drives motion control, solves physical-world problems, and contributes to global-scale automation systems. This role is hands-on, impact-driven, and perfect for someone who wants to see their code operating in motion - not just in a console. Key Responsibilities Design, implement, and optimize embedded software in C/C++ for real-time control systems. Develop and maintain real-time operating system (RTOS)-based applications. Implement low-latency firmware, control loops, and motion-control algorithms. Work with hardware teams to integrate sensors, actuators, and automation components. Architect scalable, high-performance embedded platforms for industrial robotics. Develop device drivers, board support packages (BSPs), and hardware abstraction layers. Own full lifecycle development: requirements → design → implementation → testing → deployment. Develop machine-learning-based modules for system categorization and algorithm organization (experience helpful, not required). Build real-time monitoring tools, diagnostics interfaces, and system health analytics. Troubleshoot complex hardware/software interactions in a real-time environment. Work closely with electrical, mechanical, and controls engineers. Participate in code reviews, architectural discussions, and continuous improvement. Required Qualifications Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field (Master's a plus). 10-20 years professional experience in: C and C++ programming Embedded Software Development RTOS-based design (e.g., FreeRTOS, QNX, VxWorks, ThreadX, etc.) Control systems and real-time embedded environments Strong experience with: Device driver development Board bring-up and hardware interfacing Debugging tools (oscilloscopes, logic analyzers, JTAG, etc.) Excellent understanding of: Memory management Multithreading Interrupt-driven systems Communication protocols (UART, SPI, I2C, CAN, Ethernet) Preferred Qualifications Experience with robotics, motion control, industrial automation, or safety-critical systems. Exposure to machine learning integration in embedded platforms. Experience in high-precision or high-speed automation workflows. Target Industries / Domains Ideal candidates may come from: Medical Devices Semiconductor Equipment Aerospace & Defense Industrial Control Systems Robotics & Automation Machinery & Mechatronics Appliances & Devices Embedded Consumer or Industrial Electronics

LOCAL CANDIDATES ONLY - 5 DAYS ONSITE We are looking for a Video Conferencing and Live Event Support Specialist who can provide hands-on, in-room technical support for enterprise meeting spaces and hybrid events, while ideally also understanding the network fundamentals that impact AV system performance. The ideal candidate is equally comfortable setting up and troubleshooting AV hardware in a live environment as they are collaborating with network teams to diagnose connectivity and quality issues. The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position. Applicants must be legally authorized to work in the United States. Sponsorship is not available. Our client is seeking an AV (Video Conference) Engineer: Must-Have AV / Video Conferencing Skills: Hands-on, in-room support for Zoom Rooms or similar like Webex Rooms or Team Rooms. Experience setting up, testing, and troubleshooting cameras, microphones, speakers, displays, switchers, and projectors. Familiarity with Crestron or similar control systems and general AV signal flow. Experience supporting live or hybrid events (executive meetings, town halls, all-hands, webinars). Comfortable coordinating with Facilities, IT, and vendors for event logistics and issue resolution. Strong customer service and composure under pressure. Able to communicate clearly with executives and end users. Network Operations Knowledge (Nice-to-Have / Strong Plus) Understanding of network basics: IP addressing, VLANs, DHCP, DNS, and routing. Awareness of QoS, latency, jitter, and bandwidth management for real-time media. Experience with Cisco switches/routers and network monitoring tools. Experience with Jira, ServiceNow, or Splunk for incident tracking and diagnostics. Ability to work with Network Engineers to troubleshoot AV connectivity and performance issues. Preferred Certifications / Extras AVIXA CTS or CTS-I certification (or manufacturer equivalents: Crestron, Extron, Biamp, Q-SYS). Experience maintaining AV documentation, diagrams, and inventories. Familiarity with Zoom Admin, Zoom Device Manager, Poly Lens, or other AV monitoring platforms. Excellent interpersonal skills, professionalism, and responsiveness during live events. Legally eligible to work in the United States. Benefits/Other Compensation This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit). Why Hays? You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it. Nervous about an upcoming interview? Unsure how to write a new resume? Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting. Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is ‘do the right thing'. We also believe that actions speak louder than words. In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us. In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text ************. Drug testing may be required; please contact a recruiter for more information.

$140-210K + Bonus (*At this time our client cannot sponsor or transfer work visas, including H1B, OPT, F1) Global Pharmaceutical and Healthcare conglomerate seeks dynamic and collaborative Lead Full Stack Software Engineer with 7+ years hands on front and back-end software developer experience designing, developing, testing, and delivering fully functioning Cloud-based, Data Analytics applications and backend services, to help lead application development from ideation and architecture to deployment and optimization, and integrate data science solutions like analytics and machine learning. Must have full stack Data Analytics experience, AWS Cloud, and hands-on experience in Data pipeline creation, ETL/ELT (AWS Glue, Databricks, DBT). This is a visible role that will deliver on key data transformation initiatives, and shape the future of data-driven decision making across the business. Requirements Hands-on experience in Data pipeline creation, ETL/ELT (AWS Glue, Databricks, DBT). Build and maintain robust backend systems using AWS Lambda, API Gateway, and other serverless technologies. Experience with frontend visualization tools like Tableau or PowerBI. Hands-on expertise in Agile Development, Test Automation, IT Security best practices, Continuous Development and deployment tools (Git, Jenkins, Docker, Kubernetes), and functional programming. Familiarity with IT security, container platforms, and software environments across QA, DEV, STAGING, and PROD phases. Demonstrated thought leadership in driving innovation and best practice adoption. Leadership & Collaboration: Strong communication, mentorship, and cross-functional teamwork. Responsibilities include: Application Development: Design, develop, and maintain both the front-end and back-end components of full-fledged applications using state-of-the-art programming languages and frameworks. Architecture Integration: Incorporate API-enabled backend technologies into application architecture, following established architecture frameworks and standards to deliver cohesive and maintainable solutions. Agile Collaboration: Work collaboratively with the team and product owner, following agile methodologies, to deliver secure, scalable, and fully functional applications in iterative cycles. Testing Strategy and Framework Design: Develop and implement comprehensive testing strategies and frameworks to ensure the delivery of high-quality, reliable software. For immediate consideration please submit resume in Word or PDF format ** AN EQUAL OPPORTUNITY EMPLOYER **

JSG is hiring a Software Engineer in Hauppauge, NY. Must be a US Citizen and work onsite. Salary range: $127K-$137K - Bonus Our charter is to develop fuel measurement, management and inserting systems for commercial and defense airframers. The Software Engineering team works closely with the Systems and Electronic Hardware Engineering teams to develop, qualify and certify these technologies as products for our customers in aerospace and industrial markets. Develop embedded software using C and/or model-based tools such as SCADE Develop high level and low level software requirements Create requirements-based test cases and verification procedures Perform software integration testing on target hardware using both real and simulated inputs/outputs Analyze software requirements, design and code to assure compliance to standards and guidelines Perform traceability analysis to customer specification requirements to software code Participate in software certification audits, e.g. stages of involvement (SOI) BS in Software Engineering, Computer Engineering, Computer Science or related field 5+ years of experience performing software development, verification and/or integration Strong technical aptitude with analytical and problem-solving capabilities Excellent interpersonal and communication skills, both verbal and written Ability to work in a team environment, cultivate strong relationships and demonstrate initiative Experience with C programming language Experience with model-based software development using SCADE Experience developing embedded software control systems Experience planning and executing projects using Agile software development methodology Experience managing requirements using DOORS or DOORS Next Gen (DNG) Experience with digital signal processing or digital filter design Experience with ARM microprocessors Experience with serial communication protocols (e.g. CANbus, ARINC, RS-232) Familiarity with aerospace (e.g., DO-178, DO-330, DO-331) and/or industrial (e.g., IEC 61508) software certification requirements Familiarity with functional safety standards such as ISO 13489, IEC 61508, IEC 62061, ISO 26262 or ARP4761Software Engineer to join our team. We are looking for a candidate who has working experience designing, developing and verifying embedded software in aerospace and/or industrial applications. The candidate should be familiar with industry-standard software development and design assurance practices (such as DO-178, ISO 26262, EN 50128, IEC 61508 or IEC 62304) and their application across the entire software development lifecycle. Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.

If you're an experienced software engineer who wants to build things that actually move - fast, accurately, and at scale - this is a role worth considering. This is a role for engineers who want to build the core - not just bolt things on. If you want to own complex systems, influence product direction, and work in an environment where your expertise is valued and your career can thrive - let's talk. Apply now or message us directly for a confidential conversation. We're a well-established global tech organization that builds the software and systems behind some of the most advanced, high-speed electromechanical equipment in the industry. Our technology helps run the operations behind critical communications and logistics around the world. Principle Principal Software Engineer Location: Norwalk, CT Salary - $170.000 - $190,000 +Bonus Right now, we're looking for a Senior Principal Software Engineer to take a leading role in architecting and delivering the software that powers our next generation of machine control systems. This is a hands-on, senior-level position where you'll have real ownership, technical influence, and direct impact on the business. Why This Role Stands Out: High Visibility: You won't be buried in code no one sees - this role is front and center across engineering, product, and executive teams. Complex, Real-World Problems: This isn't app development. You'll be building control software for high-speed, precision-driven systems that integrate mechanical, electrical, and software components. Stability + Innovation: Join a company that's been around for decades - but continues to evolve. The tech is serious, the teams are strong, and the roadmaps are ambitious. Long-Term Career Growth: This isn't a stepping-stone job. It's a long-term opportunity to lead, grow, and shape the future of how our machines perform. What You'll Do: Design and develop real-time control software in C++ for large-scale, high-performance electromechanical systems Lead cross-functional efforts across software, hardware, systems, and manufacturing Guide architecture and technical strategy for multiple products and platforms Debug and optimize at the system level - from code to motion control to hardware integration Play a key role in roadmap planning and technical decision-making What You Bring: 10+ years of experience in object-oriented software design and full-lifecycle development Deep hands-on experience in C++ and real-time operating systems (such as RTX) Strong background in mechatronics, machine control, or similar system-level environments Ability to lead multidisciplinary teams and drive projects through ambiguity to delivery Excellent communication skills - both with engineers and stakeholders BS or MS in Computer Science or a related field Bonus Points: Experience with motion or servo motor control Exposure to .NET, Java, or ASP.NET Background in SQL Server, Oracle, or web-based service architecture Knowledge of industrial automation or paper-handling/mailing systems

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

Trexquant actively trades multiple asset classes, including global equities, futures, corporate bonds, options, and foreign exchange. Data is at the core of everything we do and we are looking for individuals who are passionate about working with data and are curious about how it is transformed into robust and profitable predictive models. As a data scientist, you will specialize in one of these asset classes, becoming the go-to expert for all data-related matters within that domain. This is a unique opportunity to lead the data efforts for a specific asset class and make a direct impact on the firm's trading strategies. Responsibilities * Collaborate closely with strategy and machine learning teams to identify predictive signals and help develop models using relevant data variables. * Evaluate and explore new datasets recommended by researchers and partners. * Develop deep familiarity with datasets in your asset class by engaging with data vendors and attending data conferences. * Stay up to date with advancements in data science and machine learning techniques relevant to quantitative investing. Requirements * Bachelor's, Master's, or Ph.D. in Mathematics, Statistics, Computer Science, or a related STEM field. * Experience in data science, with a focus on quantitative analysis and model development. * Strong quantitative and analytical skills, with a deep understanding of statistical modeling and data-driven problem solving. * Proficient in Python, with experience using relevant libraries for data analysis, machine learning, and numerical computing. Benefits * Competitive salary plus bonus based on individual and company performance. * Collaborative, casual, and friendly work environment. * PPO Health, dental and vision insurance premiums fully covered for you and your. dependents. * Pre-tax commuter benefits. * Weekly company meals. Trexquant is an Equal Opportunity Employer

About Us Bexorg is revolutionizing drug discovery by restoring molecular activity in postmortem human brains. Through our BrainEx platform, we directly experiment on functionally preserved human brain tissue, creating enormous high-fidelity molecular datasets that fuel AI-driven breakthroughs in treating CNS diseases. We are looking for a Junior Data Scientist to join our team and dive into this one-of-a-kind data. In this onsite role, you will work at the intersection of computational biology and machine learning, helping analyze high-dimensional brain data and uncover patterns that could lead to the next generation of CNS therapeutics. This is an ideal opportunity for a recent graduate or early-career scientist to grow in a fast-paced, mission-driven environment. The Job Data Analysis & Exploration: Work with large-scale molecular datasets from our BrainEx experiments - including transcriptomic, proteomic, and metabolic data. Clean, transform, and explore these high-dimensional datasets to understand their structure and identify initial insights or anomalies. Collaborative Research Support: Collaborate closely with our life sciences, computational biology and deep learning teams to support ongoing research. You will help biologists interpret data results and assist machine learning researchers in preparing data for modeling, ensuring that domain knowledge and data science intersect effectively. Machine Learning Model Execution: Run and tune machine learning and deep learning models on real-world central nervous system (CNS) data. You'll help set up experiments, execute training routines (for example, using scikit-learn or PyTorch models), and evaluate model performance to extract meaningful patterns that could inform drug discovery. Statistical Insight Generation: Apply statistical analysis and visualization techniques to derive actionable insights from complex data. Whether it's identifying gene expression patterns or correlating molecular changes with experimental conditions, you will contribute to turning data into scientific discoveries. Reporting & Communication: Document your analysis workflows and results in clear reports or dashboards. Present findings to the team, highlighting key insights and recommendations. You will play a key role in translating data into stories that drive decision-making in our R&D efforts. Qualifications and Skills: Strong Python Proficiency: Expert coding skills in Python and deep familiarity with the standard data science stack. You have hands-on experience with NumPy, pandas, and Matplotlib for data manipulation and visualization; scikit-learn for machine learning; and preferably PyTorch (or similar frameworks like TensorFlow) for deep learning tasks. Educational Background: A Bachelor's or Master's degree in Data Science, Computer Science, Computational Biology, Bioinformatics, Statistics, or a related field. Equivalent practical project experience or internships in data science will also be considered. Machine Learning Knowledge: Solid understanding of machine learning fundamentals and algorithms. Experience developing or applying models to real or simulated datasets (through coursework or projects) is expected. Familiarity with high-dimensional data techniques or bioinformatics methods is a plus. Analytical & Problem-Solving Skills: Comfortable with statistics and data analysis techniques for finding signals in noisy data. Able to break down complex problems, experiment with solutions, and clearly interpret the results. Team Player: Excellent communication and collaboration skills. Willingness to learn from senior scientists and ability to contribute effectively in a multidisciplinary team that includes biologists, data engineers, and AI researchers. Motivation and Curiosity: Highly motivated, with an evident passion for data-driven discovery. You are excited by Bexorg's mission and eager to take on challenging tasks - whether it's mastering a new analysis method or digging into scientific literature - to push our research forward. Local to New Haven, CT preferred. No relocation offered for this position. Bexorg is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do their best work. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Bexorg will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.

Our Client A fast moving and venture backed advertising technology startup based in San Francisco. They have raised twelve million dollars in funding and are transforming how business to business marketers reach their ideal customers. Their identity resolution technology blends business and consumer signals to convert static audience lists into high match and cross channel segments without the use of cookies. By transforming first party and third party data into precision targetable audiences across platforms such as Meta, Google and YouTube, they enable marketing teams to reach higher match rates, reduce wasted advertising spend and accelerate pipeline growth. With a strong understanding of how business buyers behave in channels that have traditionally been focused on business to consumer activity, they are redefining how business brands scale demand generation and account based efforts. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use. Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems. Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte. Conduct root cause analysis and provide long lasting solutions. Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation. Manage version control, caching and evaluation loops. Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making. Guide architectural decisions across the data lake and the entire pipeline stack. Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally. Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases. Mentor engineers, review code and raise the overall technical standard across teams. Promote data driven best practices throughout the organization. Qualifications Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics. Excellent written and verbal communication; proactive and collaborative mindset. Comfortable in hybrid or distributed environments with strong ownership and accountability. A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes. Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly. Core Experience 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design. Expert SQL (query optimization on large datasets) and Python skills. Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect). Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability. Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure). Bonus: Strong Node.js skills for faster onboarding and system integration. Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.

Atlas Air is seeking a detail-oriented and analytical Network Planning Analyst to help optimize our global cargo network. This role plays a critical part in the 2-year to 11-day planning window, driving insights that enable operational teams to execute the most efficient and reliable schedules. The successful candidate will provide actionable analysis on network delays, utilization trends, and operating performance, build models and reports to govern network operating parameters, and contribute to the development and implementation of software optimization tools that improve reliability and streamline planning processes. This position requires strong analytical skills, a proactive approach to problem-solving, and the ability to translate data into operational strategies that protect service quality and maximize network efficiency. Responsibilities Analyze and Monitor Network Performance Track and assess network delays, capacity utilization, and operating constraints to identify opportunities for efficiency gains and reliability improvements. Develop and maintain key performance indicators (KPIs) for network operations and planning effectiveness. Modeling & Optimization Build and maintain predictive models to assess scheduling scenarios and network performance under varying conditions. Support the design, testing, and implementation of software optimization tools to enhance operational decision-making. Reporting & Governance Develop periodic performance and reliability reports for customers, assisting in presentation creation Produce regular and ad hoc reports to monitor compliance with established operating parameters. Establish data-driven processes to govern scheduling rules, protect operational integrity, and ensure alignment with reliability targets. Cross-Functional Collaboration Partner with Operations, Planning, and Technology teams to integrate analytics into network planning and execution. Provide insights that inform schedule adjustments, fleet utilization, and contingency planning. Innovation & Continuous Improvement Identify opportunities to streamline workflows and automate recurring analyses. Contributes to the development of new planning methodologies and tools that enhance decision-making and operational agility. Qualifications Proficiency in SQL (Python and R are a plus) for data extraction and analysis; experience building decision-support tools, reporting tools dashboards (e.g., Tableau, Power BI) Bachelor's degree required in Industrial Engineering, Operations Research, Applied Mathematics, Data Science or related quantitative discipline or equivalent work experience. 5+ years of experience in strategy, operations planning, finance or continuous improvement, ideally with airline network planning Strong analytical skills with experience in statistical analysis, modeling, and scenario evaluation. Strong problem-solving skills with the ability to work in a fast-paced, dynamic environment. Excellent communication skills with the ability to convey complex analytical findings to non-technical stakeholders. A proactive, solution-focused mindset with a passion for operational excellence and continuous improvement. Knowledge of operations, scheduling, and capacity planning, ideally in airlines, transportation or other complex network operations Salary Range: $131,500 - $177,500 Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset. The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at ****************************************** To view our Pay Transparency Statement, please click here: Pay Transparency Statement “Know Your Rights: Workplace Discrimination is Illegal” Poster The "EEO Is The Law" Poster

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal Data Engineer for AI Platform About Mastercard Mastercard is a global technology company in the payments industry, connecting billions of consumers, financial institutions, merchants, governments, and businesses worldwide. We are driving the future of commerce by enabling secure, simple, and smart transactions. Artificial Intelligence is at the core of our strategy to make Mastercard stronger and commerce safer, smarter and more personal. At Mastercard, we're building next-generation AI-powered platforms to drive innovation and impact. Role: * Drive modernization from legacy and on-prem systems to modern, cloud-native, and hybrid data platforms. * Architect and lead the development of a Multi-Agent ETL Platform for batch and event streaming, integrating AI agents to autonomously manage ETL tasks such as data discovery, schema mapping, and error resolution. * Define and implement data ingestion, transformation, and delivery pipelines using scalable frameworks (e.g., Apache Airflow, Nifi, dbt, Spark, Kafka, or Dagster). * Leverage LLMs, and agent frameworks (e.g., LangChain, CrewAI, AutoGen) to automate pipeline management and monitoring. * Ensure robust data governance, cataloging, versioning, and lineage tracking across the ETL platform. * Define project roadmaps, KPIs, and performance metrics for platform efficiency and data reliability. * Establish and enforce best practices in data quality, CI/CD for data pipelines, and observability. * Collaborate closely with cross-functional teams (Data Science, Analytics, and Application Development) to understand requirements and deliver efficient data ingestion and processing workflows. * Establish and enforce best practices, automation standards, and monitoring frameworks to ensure the platform's reliability, scalability, and security. * Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions. * Continuously engage and improve teams' performance by conducting recurring meetings, knowing your people, managing career development, and understanding who is at risk. * Oversee deployment, monitoring, and scaling of ETL and agent workloads across multi cloud environments. * Continuously improve platform performance, cost efficiency, and automation maturity. All About You: * Hands-on experience in data engineering, data platform strategy, or a related technical domain. * Proven experience leading global data engineering or platform engineering teams. * Proven experience in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop. * Strong experience with one or more of data pipeline tools (Nifi, Airflow, dbt, Spark, Kafka, Dagster, etc.) and distributed data processing at scale. * Experience building and managing AI-augmented or agent-driven systems will be a plus. * Proficiency in Python, SQL, and data ecosystems (Oracle, AWS Glue, Azure Data Factory, BigQuery, Snowflake, etc.). * Deep understanding of data modeling, metadata management, and data governance principles. * Proven success in leading technical teams and managing complex, cross-functional projects. * Passion for staying current in a fast-paced field with proven ability to lead innovation in a scaled organization. * Excellent communication skills, with the ability to tailor technical concepts to executive, operational, and technical audiences. * Expertise and ability to lead technical decision-making considering scalability, cost efficiency, stakeholder priorities, and time to market. * Proven track leading high-performing teams with experience leading and coaching director level reports and experienced individual contributors. * Advanced degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field. Equivalent experience will also be considered. Why Join Us? At Mastercard, you'll help shape the future of AI in global commerce-solving complex challenges at scale, driving financial inclusion, and reinforcing the trust and security that define our brand. You'll work with world-class talent, cutting-edge technologies, and will make a lasting impact. #AI1 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard's security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges Arlington, Virginia: $179,000 - $305,000 USD Purchase, New York: $179,000 - $305,000 USD San Francisco, California: $187,000 - $318,000 USD

bout Us We are a global investment firm focused on combining financial theory with practical application. Our goal is to deliver long-term results by cutting through market noise, identifying the most impactful factors, and developing ideas that stand up to rigorous testing. Over the years, we have built a reputation as innovators in portfolio management and alternative investment strategies. Our team values intellectual curiosity, honesty, and a commitment to understanding what drives financial markets. Collaboration, transparency, and openness to new ideas are central to our culture, fostering innovation and continuous improvement. Your Role We are seeking an Application Support Engineer to operate at the intersection of technical systems and business processes that power our investment operations. This individual contributor role involves supporting a complex technical environment, resolving production issues, and contributing to projects that enhance systems and processes. You will gain hands-on experience with cloud-deployed portfolio management and research systems and work closely with both business and technical teams. This role is ideal for someone passionate about technology and systems reliability, looking to grow into a systems reliability or engineering-focused position. Responsibilities Develop and maintain expertise in the organization's applications to support internal users. Manage user expectations and ensure satisfaction with our systems and tools. Advocate for users with project management and development teams. Work closely with QA to report and track issues identified by users. Ensure proper escalation for unresolved issues to maintain user satisfaction. Participate in production support rotations, including off-hours coverage. Identify gaps in support processes and create documentation or workflows in collaboration with development and business teams. Diagnose and resolve system issues, including debugging code, analyzing logs, and investigating performance or resource problems. Collaborate across teams to resolve complex technical problems quickly and efficiently. Maintain documentation of system behavior, root causes, and process improvements. Contribute to strategic initiatives that enhance system reliability and operational efficiency. Qualifications Bachelor's degree in Engineering, Computer Science, or equivalent experience. 2+ years of experience supporting complex software systems, collaborating with business users and technical teams. Hands-on technical skills including SQL and programming/debugging (Python preferred). Strong written and verbal communication skills. Ability to work independently and within small teams. Eagerness to learn new technologies and automate manual tasks to improve system reliability. Calm under pressure and demonstrates responsibility, maturity, and trustworthiness. Compensation & Benefits Salary range: $115,000-$135,000 (may vary based on experience, location, or organizational needs). Eligible for annual discretionary bonus. Comprehensive benefits package including paid time off, medical/dental/vision coverage, 401(k), and other benefits as applicable. The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.

Job Description Trexquant actively trades multiple asset classes, including global equities, futures, corporate bonds, options, and foreign exchange. Data is at the core of everything we do and we are looking for individuals who are passionate about working with data and are curious about how it is transformed into robust and profitable predictive models. As a data scientist, you will specialize in one of these asset classes, becoming the go-to expert for all data-related matters within that domain. This is a unique opportunity to lead the data efforts for a specific asset class and make a direct impact on the firm's trading strategies. Responsibilities Collaborate closely with strategy and machine learning teams to identify predictive signals and help develop models using relevant data variables. Evaluate and explore new datasets recommended by researchers and partners. Develop deep familiarity with datasets in your asset class by engaging with data vendors and attending data conferences. Stay up to date with advancements in data science and machine learning techniques relevant to quantitative investing. Requirements Bachelor's, Master's, or Ph.D. in Mathematics, Statistics, Computer Science, or a related STEM field. Experience in data science, with a focus on quantitative analysis and model development. Strong quantitative and analytical skills, with a deep understanding of statistical modeling and data-driven problem solving. Proficient in Python, with experience using relevant libraries for data analysis, machine learning, and numerical computing. Benefits Competitive salary plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment. PPO Health, dental and vision insurance premiums fully covered for you and your. dependents. Pre-tax commuter benefits. Weekly company meals. Trexquant is an Equal Opportunity Employer

Bexorg is transforming drug discovery by restoring molecular activity in postmortem human brains. Our groundbreaking BrainEx platform enables direct experimentation on functionally preserved human brain tissue, generating massive, high-fidelity molecular datasets that power AI-driven drug discovery for CNS diseases. We are seeking a Data Engineer to help harness this unprecedented data. In this onsite, mid-level role, you will design and optimize the pipelines and cloud infrastructure that turn terabytes of raw experimental data into actionable insights, driving our mission to revolutionize treatments for central nervous system disorders. The Job: Data Ingestion & Pipeline Management: Manage and optimize massive data ingestion pipelines from cutting-edge experimental devices, ensuring reliable, real-time capture of complex molecular data. Cloud Data Architecture: Organize and structure large datasets in Google Cloud Platform, using tools like BigQuery and cloud storage to build a scalable data warehouse for fast querying and analysis of brain data. Large-Scale Data Processing: Design and implement robust ETL/ELT processes to handle PB scale data, emphasizing speed, scalability, and data integrity at each step of the process. Internal Data Services: Work closely with our software and analytics teams to expose processed data and insights to internal web applications. Build appropriate APIs or data access layers so that scientists and engineers can seamlessly visualize and interact with the data through our web platform. Internal Experiment Services: Work with our life science teams to ensure data entry protocols for seamless metadata integration and association with experimental data Infrastructure Innovation: Recommend and implement cloud infrastructure improvements (such as streaming technologies, distributed processing frameworks, and automation tools) that will future-proof our data pipeline. You will continually assess new technologies and best practices to increase throughput, reduce latency, and support our rapid growth in data volume. Qualifications and Skills: Experience with Google Cloud: Hands-on experience with Google Cloud services (especially BigQuery and related data tools) for managing and analyzing large datasets. You've designed or maintained data systems in a cloud environment and understand how to leverage GCP for big data workloads. Data Engineering Background: 3+ years of experience in data engineering or a similar role. Proven ability to build and maintain data pipelines dealing with petabyte-scale data. Proficiency in programming (e.g., Python, Java, or Scala) and SQL for developing data processing jobs and queries. Scalability & Performance Mindset: Familiarity with distributed systems or big data frameworks and a track record of optimizing data workflows for speed and scalability. You can architect solutions that handle exponential data growth without sacrificing performance. Biology Domain Insight: Exposure to biology or experience working with scientific data (e.g. genomics, bioinformatics, neuroscience) is a strong plus. While deep domain expertise isn't required, you should be excited to learn about our experimental data and comfortable discussing requirements with biologists. Problem-Solving & Collaboration: Excellent problem-solving skills, attention to detail, and a proactive attitude in tackling technical challenges. Ability to work closely with cross-functional teams (scientists, software engineers, data scientists) and communicate complex data systems in clear, approachable terms. Passion for the Mission: A strong desire to apply your skills to transform drug discovery. You are inspired by Bexorg's mission and eager to build the data backbone of a platform that could unlock new therapies for CNS diseases. Local to New Haven, CT preferred. No relocation offered for this position. Bexorg is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do their best work. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Bexorg will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.

Our Client A fast moving and venture backed advertising technology startup based in San Francisco. They have raised twelve million dollars in funding and are transforming how business to business marketers reach their ideal customers. Their identity resolution technology blends business and consumer signals to convert static audience lists into high match and cross channel segments without the use of cookies. By transforming first party and third party data into precision targetable audiences across platforms such as Meta, Google and YouTube, they enable marketing teams to reach higher match rates, reduce wasted advertising spend and accelerate pipeline growth. With a strong understanding of how business buyers behave in channels that have traditionally been focused on business to consumer activity, they are redefining how business brands scale demand generation and account based efforts. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use. Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems. Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte. Conduct root cause analysis and provide long lasting solutions. Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation. Manage version control, caching and evaluation loops. Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making. Guide architectural decisions across the data lake and the entire pipeline stack. Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally. Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases. Mentor engineers, review code and raise the overall technical standard across teams. Promote data driven best practices throughout the organization. Qualifications Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics. Excellent written and verbal communication; proactive and collaborative mindset. Comfortable in hybrid or distributed environments with strong ownership and accountability. A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes. Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly. Core Experience 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design. Expert SQL (query optimization on large datasets) and Python skills. Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect). Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability. Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure). Bonus: Strong Node.js skills for faster onboarding and system integration. Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.

**Our Purpose** _Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** Principal Data Engineer for AI Platform About Mastercard Mastercard is a global technology company in the payments industry, connecting billions of consumers, financial institutions, merchants, governments, and businesses worldwide. We are driving the future of commerce by enabling secure, simple, and smart transactions. Artificial Intelligence is at the core of our strategy to make Mastercard stronger and commerce safer, smarter and more personal. At Mastercard, we're building next-generation AI-powered platforms to drive innovation and impact. Role: - Drive modernization from legacy and on-prem systems to modern, cloud-native, and hybrid data platforms. - Architect and lead the development of a Multi-Agent ETL Platform for batch and event streaming, integrating AI agents to autonomously manage ETL tasks such as data discovery, schema mapping, and error resolution. - Define and implement data ingestion, transformation, and delivery pipelines using scalable frameworks (e.g., Apache Airflow, Nifi, dbt, Spark, Kafka, or Dagster). - Leverage LLMs, and agent frameworks (e.g., LangChain, CrewAI, AutoGen) to automate pipeline management and monitoring. - Ensure robust data governance, cataloging, versioning, and lineage tracking across the ETL platform. - Define project roadmaps, KPIs, and performance metrics for platform efficiency and data reliability. - Establish and enforce best practices in data quality, CI/CD for data pipelines, and observability. - Collaborate closely with cross-functional teams (Data Science, Analytics, and Application Development) to understand requirements and deliver efficient data ingestion and processing workflows. - Establish and enforce best practices, automation standards, and monitoring frameworks to ensure the platform's reliability, scalability, and security. - Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions. - Continuously engage and improve teams' performance by conducting recurring meetings, knowing your people, managing career development, and understanding who is at risk. - Oversee deployment, monitoring, and scaling of ETL and agent workloads across multi cloud environments. - Continuously improve platform performance, cost efficiency, and automation maturity. All About You: - Hands-on experience in data engineering, data platform strategy, or a related technical domain. - Proven experience leading global data engineering or platform engineering teams. - Proven experience in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop. - Strong experience with one or more of data pipeline tools (Nifi, Airflow, dbt, Spark, Kafka, Dagster, etc.) and distributed data processing at scale. - Experience building and managing AI-augmented or agent-driven systems will be a plus. - Proficiency in Python, SQL, and data ecosystems (Oracle, AWS Glue, Azure Data Factory, BigQuery, Snowflake, etc.). - Deep understanding of data modeling, metadata management, and data governance principles. - Proven success in leading technical teams and managing complex, cross-functional projects. - Passion for staying current in a fast-paced field with proven ability to lead innovation in a scaled organization. - Excellent communication skills, with the ability to tailor technical concepts to executive, operational, and technical audiences. - Expertise and ability to lead technical decision-making considering scalability, cost efficiency, stakeholder priorities, and time to market. - Proven track leading high-performing teams with experience leading and coaching director level reports and experienced individual contributors. - Advanced degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field. Equivalent experience will also be considered. Why Join Us? At Mastercard, you'll help shape the future of AI in global commerce-solving complex challenges at scale, driving financial inclusion, and reinforcing the trust and security that define our brand. You'll work with world-class talent, cutting-edge technologies, and will make a lasting impact. \#AI1 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. **Corporate Security Responsibility** All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: + Abide by Mastercard's security policies and practices; + Ensure the confidentiality and integrity of the information being accessed; + Report any suspected information security violation or breach, and + Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. **Pay Ranges** Arlington, Virginia: $179,000 - $305,000 USD Purchase, New York: $179,000 - $305,000 USD San Francisco, California: $187,000 - $318,000 USD

Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. To keep pace with our expanding global trading operations, we are seeking a C++ Market Data Engineer to design and build ultra-low-latency feed handlers for premier vendor feeds and major exchange multicast feeds. This is a high-impact role that sits at the heart of Trexquant's trading platform; the quality, speed, and reliability of your code directly influence every strategy we run. Responsibilities * Design & implement high-performance feed handlers in modern C++ for equities, futures, and options across global venues (e.g., NYSE, CME, Refinitiv RTS, Bloomberg B-PIPE). * Optimize for micro- and nanosecond latency using lock-free data structures, cache-friendly memory layouts, and kernel-bypass networking where appropriate. * Build reusable libraries for message decoding, normalization, and publication to internal buses shared by research, simulation, and live trading systems. * Collaborate with cross-functional teams to tune TCP/UDP multicast stacks, kernel parameters, and NIC settings for deterministic performance. * Provide robust failover, gap-recovery, and replay mechanisms to guarantee data integrity under packet loss or venue outages. * Instrument code paths with precision timestamping and performance metrics; drive continuous latency regression testing and capacity planning. * Partner closely with quantitative researchers to understand downstream data requirements and to fine-tune delivery formats for both simulation and live trading. * Produce clear architecture documents, operational run-books, and post-mortems; participate in a 24×7 follow-the-sun support rotation for mission-critical market-data services.