Senior data scientist jobs in Huntington, NY

The Human Resource Analytics team at Citizens Bank leads the organization's understanding of workforce insights and organizational health. Our team uncovers holistic data-driven business opportunities across the talent lifecycle to enable transformational change and operational efficiency. We analyze internal and external data to understand diverse employee voices, and experiment to scale solutions that make the work experience better. The ideal candidate sees beyond the numbers to find opportunities to strengthen the employee experience and organizational performance. The candidate is a change agent with a demonstrated track record of marrying complex sets of people data with business imperatives to create actionable insights on performance, retention, and organizational agility. The candidate possesses strong quantitative skills, is capable of managing multiple projects simultaneously, and can communicate effectively with executive and technical audiences. An "outside in" perspective, data science skills, high intellectual curiosity, and a consultative posture are essential skills to possess in this role. The HR Data Science Consultant at Citizens Bank will: Key Responsibilities + Synthesize business goals and strategy with HR, productivity, and market data to build integrated, tangible recommendations on talent and culture topics to drive individual and organizational outcomes; employ consultative and analytical techniques to make recommendations, moving from the "so what" and "now what," to drive impact across Citizens'. + Consult with business clients on workplace insights including diagnoses, research design, hypothesis testing, advances analyses, visualization, and presentation. + Translate complex analyses for executive audiences and develop visualizations to help people understand findings and insights + Design and consult on talent assessment methodologies, both internal and third party + Apply best practices for artificial intelligence and machine learning + Project manage key initiatives that drive efficiency and value; assist with change management efforts to scale HR analytics solutions across the enterprise. + Assist in development, execution, and evaluation of client OKRs, human capital KPIs and other measurement strategies to enable business results. + Partner and train clients and HR stakeholders on impactful use of data, data literacy techniques, and use of self-service to drive business outcomes. + Advise on enterprise-level and business unit level analytics work with partners through the organization; contribute to enterprise data governance methods and priorities. Critical Skills + Expertise in qualitative and quantitative research methodology, data management, data visualization and storytelling. + Creative and strategic thinker - ability to assess needs, collaborate, and deliver data-driven, practical solutions that drive results + Strong decision-making skills; stellar interpersonal, influencing, relationship building, and collaboration skills + Proficiency in change management approaches (e.g., PROSCI, etc.) + Advanced analytical and problem-solving skills - approaches problems with rigorous logic and a curious mind - looks beyond the obvious and searches for deeper answers + Proficiency in building talent assessment methodologies. + Deep knowledge of pre-employment assessment methodologies and practices. + Ability to communicate effectively with technical and non-technical audiences - tells stories with data that resonate with stakeholders and maximize impact; excellent written and verbal communication skills + Ability to manage multiple client groups simultaneously; strong project management background + Proficient in data querying languages (e.g., SQL), database management systems, and employee listening platforms (e.g., Perceptyx, Glint) + Applied statistics or experimentation (A/B testing) and psychometric principles (e.g., regression analysis, factor analysis), as well as research design + Proficient in scripting languages (e.g., R or Python), and other advanced analytical tools (e.g., Sagemaker, Tableau, PowerBI, Quicksight, Visier, Alteryx) + Hands on experience with machine learning techniques and exposure to LLM for text analysis and natural language processing applications + Highly proficient in Excel and PowerPoint + Highly-organized with strong attention to detail and documentation; results orientation Additional Knowledge & Skills + Ability to handle multiple projects while meeting deadlines and documenting progress towards those deadlines + Proficiency in agile and design-thinking methods + Possesses a learning orientation, active exploratory mind, and interest to learn from others + Experience with AWS Cloud suite, Snowflake, Oracle HCM, Service Now Education and Experience + Deep expertise (PhD, Masters, or equivalent expertise) in a field that uses research to understand and influence human behavior (e.g., Industrial/Organizational Psychology, Organizational Behavior, Behavioral Economics, Social/Personality Psychology, etc.) + 8+ years of client-facing People Analytics, Workforce Strategy, Business Intelligence, or Human Capital Consulting experience, working in/with complex organizations, or combination of education and experience + Demonstrated experience leading large-scale HR or analytics programs in a matrixed environment + Experience with Bayesian estimation, machine learning, natural language processing, cloud-based computing, and/or Artificial Intelligence strongly preferred. Hours & Work Schedule + Hours per Week: 40 + Work Schedule: 8:30-5 + Hybrid, 4 days on site from a Citizens corporate office, 1 day remote #LI-Citizens1 Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance. Equal Employment Opportunity Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability. Why Work for Us At Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth Background Check Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information. 01/30/2026

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

At least 3-7 years of relevant experience in OFSAA for Banking Industry Strong Functional knowledge on Financial Risk management, MRM, Liquidity risk, Basel regulation Exposure to at least one risk management product in BFS space Ability to effectively liaise with multiple stakeholders both from business and IT. Ability to analyze, define and document requirements related to data, workflow, risk process, interfaces with other systems Ability to test the system thoroughly and ensure complete compliance with expected requirements. Ability to manage change request and perform impact analysis on the existing requirement. Ability to ensure software quality before release into production Strong requirement collection, analysis and documentation skills Exposure to use of requirement management tools Strong knowledge on Data governance, data quality, Data Profiling & Data analysis related to Regulatory Reporting OFSAA Implementation experience for regulatory reporting like Model risk management, Liquidity Risk, Basel etc. OFSAA Data Model overview Knowledge of technical tool stack: Informatica, Exadata, OBIEE etc. Good exposure to Data level testing, Data validation, Quality & SIT Working knowledge of BI applications Desirable Skill Set : ETL/Informatica Qualifications Bachelor or higher Additional Information Job Status: Permanent Share the Profiles to ***************************** Contact: ************ Keep the subject line with Job Title and Location

The biostatistician will support clinical epidemiology and biomedical research for the Campus Collaborative Research Core (CCRC) program and the Biostatistics Core at New York Medical College for both the college and Touro University. The biostatistician will design studies, collect, and analyze data from medical experiments, interpret the results of the analyses, and collaborate in writing articles to disseminate research findings. They use the quantitative tools of mathematics, statistics, and computing in their day-to-day work. Responsibilities Work with SHSP Faculty to plan direction and support for incoming projects. Contribute to planning, data assessment, data analysis, and interpretation of studies supported by Campus Collaborative Research and the Biostatistics Core. Guide study design, sample size calculation, randomization procedures, and data analysis methods, perform statistical analyses, and interpret results for researchers. Generate figures and statistical tables for conference presentations and journal publications. Ensure adherence to statistical standards and best practices in research methodologies. Assist in writing and reviewing statistical sections of research proposals, manuscripts, and grant applications. Assist in the Myocarditis study, generating descriptive and analytical data, performing statistical analysis, and interpreting results for researchers Qualifications Education: M.S. in Statistics, M.P.H. in Epidemiology or another quantitative field. Technical/Computer skills: Demonstrated expertise in statistical methodologies, study design, and data analysis. Proficiency in a statistical software package, such as R, SAS, or STATA. Microsoft Office Suite - Word, Excel, PowerPoint, Outlook Prior experience: Minimum of two years of related professional experience Other Skills: Excellent communication and interpersonal skills, with the ability to effectively convey complex statistical concepts to diverse audiences. Strong organizational skills and the ability to manage multiple projects simultaneously. Commitment to fostering a collaborative and inclusive learning environment. Minimum Salary USD $96,000.00/Yr. Maximum Salary USD $120,000.00/Yr.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Claims Product Management is looking for a software programmer to provide data extraction and transformation support for product managers and the projects they lead. This is an exciting time for the Claims department as we transform our systems and processes, and the Claims Product Management team takes a leading role in driving that innovation. In this role, you'll have the opportunity to be a vital part of that transformation effort by supporting the data and reporting needs of the product managers, providing the data they need to plan future changes and monitor the success of their projects. You'll be joining a highly experienced team of claims data experts and will have the opportunity to be a pioneer in using brand-new data sources as we transform our claims systems. The ideal candidate will have a good understanding of Claims procedures and systems and experience extracting claims data (ideally using SAS/SQL to query Snowflake) as well as experience in producing automated reporting. The actual grade level will depend upon prior programming and claims experience (grade 66-70). Requirements: * Knowledge of claims systems and procedures * Highly effective written and verbal communication skills * Ability to manage multiple projects to completion * Extensive experience extracting and manipulating GEICO's claims data. A skills assessment will be used during the hiring process. Preferred Qualifications: * Bachelor's degree or actively pursuing w/computer or math course work * Demonstrated experience working on highly collaborative teams Note: Grade level will depend on qualifications and experience. (Grade 66-70) Annual Salary $65,600.00 - $189,625.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. * Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. * Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. * Access to additional benefits like mental healthcare as well as fertility and adoption assistance. * Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

D'Addario & Company is the world's largest manufacturer and distributor of musical instrument accessories. As a U.S.-based manufacturing leader, we pride ourselves on high-automation machinery, cutting-edge technology, and a deep commitment to environmentally sustainable practices. Most importantly, we're proud of our diverse team of individuals who embody our core values-family, curiosity, passion, candor, and responsibility-and bring them to life every day. D'Addario is seeking a Senior Data Engineer to help architect, build, and optimize the next generation of our global data infrastructure. In this role, you'll design and maintain production-grade data pipelines, support AI and machine learning initiatives, and serve as a technical mentor within a growing Business Intelligence team. You'll work closely with the Global Director of BI to deliver scalable solutions that power insights and innovation across the organization. This position is ideal for someone who thrives on solving complex data challenges, enjoys bringing structure to large datasets, and is passionate about enabling smarter decision-making through data. This is a hybrid role and will require the candidate to work on-site in the Farmingdale office three days a week. At D'Addario, we don't just offer a job-we offer a career with one of the most iconic names in the music industry. We're passionate about innovation, craftsmanship, and creating a workplace where diverse backgrounds, perspectives, and ideas thrive. We're eager to connect with individuals who bring fresh thinking and a collaborative spirit. If you're ready to make an impact, we'd love to hear how you'll add value to our team. Some Perks & Benefits of Working at D'Addario: Competitive compensation package Health, vision, and dental insurance 12 weeks of fully paid parental leave Fertility and family-building benefits 401(k) retirement plan with generous employer contributions Career pathing and professional development via LinkedIn Learning Paid Time Off (PTO) and flexible sick day policy 12 Paid Holidays Life and AD&D Insurance Enhanced Short-Term Disability Insurance Employee Assistance Program (EAP) Tuition Reimbursement Discounts on D'Addario products and merchandise Company jam nights, artist performances, holiday parties, and special events A passionate, talented team that loves what they do! Responsibilities Build & Optimize Pipelines: Design, implement, and maintain robust, high-performance data pipelines to support analytical models within Microsoft Fabric and our data environment. Data Integration: Connect and harmonize new data sources, including ERP, e-commerce platforms, and external APIs. Mentorship & Standards: Guide junior BI team members, lead code reviews, and establish coding, documentation, and testing best practices. AI/ML Enablement: Partner on machine learning and AI projects from proof-of-concept through deployment, supporting predictive and prescriptive analytics into production workflows. Advanced Analytics Development: Team up with analysts to prepare data products and predictive models using Python, PySpark, and modern ML frameworks. Collaboration: Work with stakeholders across Sales, Marketing, Operations, and Product to translate business requirements and align priorities. Technical Leadership: Drive data engineering excellence through continuous improvement, quality assurance, and innovation in data architecture and governance. Qualifications 5+ years of experience building and maintaining production-grade data pipelines. Advanced programming skills in Python, PySpark, and SQL. Strong background in data modeling and scalable analytics. Experience deploying machine learning models and data products in production environments. Solid understanding of cloud data platforms (Azure preferred). Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience. Clear communicator with the ability to simplify complex technical concepts. Proven leadership in mentoring and developing technical talent. Highly organized, self-directed, and comfortable in fast-paced environments. Passion for using data to drive innovation and business impact. The base salary range for this role would be commensurate with experience: $140k to $165k per year #LI-HYBRID

Job Description Data is pivotal to our goal of frequent launch and rapid iteration. We're recruiting a Data Engineer at iRocket to build pipelines, analytics, and tools that support propulsion test, launch operations, manufacturing, and vehicle performance. The Role Design and build data pipelines for test stands, manufacturing machines, launch telemetry, and operations systems. Develop dashboards, real-time monitoring, data-driven anomaly detection, performance trending, and predictive maintenance tools. Work with engineers across propulsion, manufacturing, and operations to translate data-needs into data-products. Maintain data architecture, ETL processes, cloud/edge-data systems, and analytics tooling. Support A/B testing, performance metrics, and feed insights back into design/manufacturing cycles. Requirements Bachelor's degree in Computer Science, Data Engineering, or related technical field. 2+ years of experience building data pipelines, ETL/ELT workflows, and analytics systems. Proficient in Python, SQL, cloud data platforms (AWS, GCP, Azure), streaming/real-time analytics, and dashboarding (e.g., Tableau, PowerBI). Strong ability to work cross-functionally and deliver data-products to engineering and operations teams. Strong communication, documentation, and a curiosity-driven mindset. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Wellness Resources

At Suffolk Credit Union, we empower our members and strengthen our community by promoting financial wellness, transparency, and respect. Join us to enjoy comprehensive benefits, including health plans, 401(k) matching, and support for work-life balance, generous paid time off with 11 paid holidays including your birthday off, along with employee engagement activities and opportunities for community involvement. Role Overview: The Data Engineer designs, builds, and maintains scalable data pipelines, ensuring efficient data integration, transformation, and reliability across data infrastructure at Suffolk Credit Union. The Data Engineer has a strong background in data orchestration and management, with specific expertise in Airflow, Python, Windows batch scripting, Snowflake, SQL Server, and Power BI visualization. This role requires excellent communication skills and strong project management capabilities to effectively collaborate with cross-functional teams and drive data projects to successful completion. Key Responsibilities: Design, implement, and maintain reliable and scalable data pipelines using Airflow. Optimize data storage and processing in Snowflake and SQL Server for performance and cost efficiency. Integrate data from multiple sources (APIs, SFTP, databases, cloud) through automated orchestration in Airflow. Develop and enhance data solutions using Python and Windows batch scripting. Write, tune, and maintain SQL queries, views, and stored procedures for efficient data transformations. Monitor, troubleshoot, and resolve data pipeline performance and quality issues. Build Power BI dashboards and reports to visualize insights and support business decisions. Partner with stakeholders to gather data requirements and translate them into technical solutions. Maintain data integrity, quality, and security across all platforms and workflows. Lead and manage data initiatives, ensuring alignment with business goals and timely delivery. Provide clear communication and regular updates to teams and stakeholders. Automate and document repetitive data tasks, and provide backup support for departmental staff as needed. Essential Qualifications: Qualified candidates will have an associates degree or post-secondary or technical education required; bachelor's degree in Computer Science, Information Technology, or Mathematics preferred. Three (3) to five (5) years of data warehousing, database design, and programming experience (Python preferred) required. Experienced Data Engineer skilled in Snowflake, SQL Server, Python, Airflow, and Windows batch scripting. Proficient in SQL and ETL/ELT frameworks, with expertise in designing, building, and maintaining data pipelines. Strong background in data modeling, database design, and performance optimization for scalability. Hands-on experience with data integration and delivery across APIs, SFTP, and cloud storage platforms. Proven ability to monitor, troubleshoot, and optimize pipelines to ensure reliability and data quality. Demonstrated leadership in technical projects, automation, and workflow optimization. Possesses strong analytical, problem-solving, and decision-making skills, with knowledge of credit union operations as a plus. Apply today and embark on a rewarding career and start empowering your possible! Suffolk Credit Union provides equal employment opportunities to all applicants and prohibits discrimination of any type on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information or any other characteristic protected by applicable federal, state or local laws. Compensation for employees is generally offered within the range of the minimum to midpoint of the posted salary scale, based on qualifications, internal pay equity, and the budget for the position. This compensation range adheres to state-specific regulations. The determination of your actual pay rate may take into consideration factors such as your skills, years of experience, and other pertinent qualifications.

At Suffolk Credit Union, we empower our members and strengthen our community by promoting financial wellness, transparency, and respect. Join us to enjoy comprehensive benefits, including health plans, 401(k) matching, and support for work-life balance, generous paid time off with 11 paid holidays including your birthday off, along with employee engagement activities and opportunities for community involvement. Role Overview: The Data Engineer designs, builds, and maintains scalable data pipelines, ensuring efficient data integration, transformation, and reliability across data infrastructure at Suffolk Credit Union. The Data Engineer has a strong background in data orchestration and management, with specific expertise in Airflow, Python, Windows batch scripting, Snowflake, SQL Server, and Power BI visualization. This role requires excellent communication skills and strong project management capabilities to effectively collaborate with cross-functional teams and drive data projects to successful completion. Key Responsibilities: * Design, implement, and maintain reliable and scalable data pipelines using Airflow. * Optimize data storage and processing in Snowflake and SQL Server for performance and cost efficiency. * Integrate data from multiple sources (APIs, SFTP, databases, cloud) through automated orchestration in Airflow. * Develop and enhance data solutions using Python and Windows batch scripting. * Write, tune, and maintain SQL queries, views, and stored procedures for efficient data transformations. * Monitor, troubleshoot, and resolve data pipeline performance and quality issues. * Build Power BI dashboards and reports to visualize insights and support business decisions. * Partner with stakeholders to gather data requirements and translate them into technical solutions. * Maintain data integrity, quality, and security across all platforms and workflows. * Lead and manage data initiatives, ensuring alignment with business goals and timely delivery. * Provide clear communication and regular updates to teams and stakeholders. * Automate and document repetitive data tasks, and provide backup support for departmental staff as needed. Essential Qualifications: Qualified candidates will have an associates degree or post-secondary or technical education required; bachelor's degree in Computer Science, Information Technology, or Mathematics preferred. Three (3) to five (5) years of data warehousing, database design, and programming experience (Python preferred) required. * Experienced Data Engineer skilled in Snowflake, SQL Server, Python, Airflow, and Windows batch scripting. * Proficient in SQL and ETL/ELT frameworks, with expertise in designing, building, and maintaining data pipelines. * Strong background in data modeling, database design, and performance optimization for scalability. * Hands-on experience with data integration and delivery across APIs, SFTP, and cloud storage platforms. * Proven ability to monitor, troubleshoot, and optimize pipelines to ensure reliability and data quality. * Demonstrated leadership in technical projects, automation, and workflow optimization. * Possesses strong analytical, problem-solving, and decision-making skills, with knowledge of credit union operations as a plus. Apply today and embark on a rewarding career and start empowering your possible! Suffolk Credit Union provides equal employment opportunities to all applicants and prohibits discrimination of any type on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information or any other characteristic protected by applicable federal, state or local laws. Compensation for employees is generally offered within the range of the minimum to midpoint of the posted salary scale, based on qualifications, internal pay equity, and the budget for the position. This compensation range adheres to state-specific regulations. The determination of your actual pay rate may take into consideration factors such as your skills, years of experience, and other pertinent qualifications.

**Compensation Data** This position offers a base salary typically between $115,000 and $181,000+. This position may be eligible for a role specific variable or performance based bonus and or other compensation elements. For an overview of our benefits please click here. (***************************************************************** **Description** We built the Boehringer Ingelheim's Data Platform to maximize the value of our data and foster a more data-driven culture and mindset. As part of the Platform Support and Onboarding team, you play a key role in ensuring our users get started to work on top of our platform and have a smooth experience along their data-intensive software delivery journey. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies´ success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim´s high regard for our employees. **Duties & Responsibilities** + Ensure proper onboarding into our Platform offering. You explain to new delivery teams our platform features and advice on how to operate them. You assess the maturity of our new teams. + Collaborate with different product teams helping them refine their technical architecture and enabling the teams to deliver their products in the best possible way on top of our Data Platform + Give solution architects advice on how to accommodate their architecture into our Platform offering + Support our delivery teams and user community resolve incidents, problems and queries related to our Platform offering + Partner with other IT functions to unblock Platform related issues impacting our product delivery teams. + Contribute to co-create specific features of our Platform offering, if necessary. + Know our wider platform offering, related to software engineering, data integration, analytics and AI, and guide potential users and stakeholders to our subject matter experts. + Provide consultancy to potential users and product delivery teams on how to leverage our Platform offering + Connect with the Data Platform Development team to share customer feedback, which helps improve user experience and our platform's technology backbone + Contribute to content-creation and presentation activities to support customer awareness, understanding, and excitement around our product. **Requirements** Data Platform Engineer Associate degree in Computer Science or MIS with a minimum of 4 years experience; or Bachelor degree in Computer Science, or MIS, or related field with a minimum of 2 years of experience; or a Master degree in Computer Science, MIS, with minimum 1 year of experience; or relevant Business or IT experience of minimum of 4 years. Sr. Data Platform Engineer + Expert level of technical understanding and demonstrated knowledge for their area of responsibility. + Strong technical design and architecture skills, and project management experience. + Strong foundation in software development life cycle methodology. + Associate degree in Computer Science, MIS or related field with a minimum of 11 years experience; or Bachelor degree in Computer Science, or MIS, or related field with minimum 9 years of experience; or a Master degree in Computer Science, MIS, or related field with minimum 7 years of experience; or relevant Business or IT experience of minimum of 11 years. Minimum of 6 years programming experience preferred. Additional: + At least 5 years of experience in a similar role + At least 5 years of experience designing, documenting and deploying cloud architectures using different technologies (AWS, Snowflake, dbt, Iceberg...) + At least 5 years of hands-on software development, operations, data lakes, integration with data catalogues... + Master's degree in Computer Science, Information Technology, or equivalent experience + Advanced knowledge of data platform related technologies such as data-related AWS, Snowflake, dbt... + Knowledge of a programming language (Python, JavaScript, Go, Java, etc.) and/or scripting, Infrastructure as Code etc. + Good command of engineering practices such as code refactoring, design patterns, design driven development, CI/CD, building highly scalable application and APIs, and security + Understanding of cloud networks (VPC, security groups) or experience in Cloud security (firewalls, encryption, IAM, roles) is a plus + Experience with migration projects (data or software) is a plus + Ability to explain complex technical concepts in a simple, user-friendly manner + Ability to work effectively within an international and intercultural environment. + Excellent communication skills + Experience in training content development or as a trainer is a plus + Willingness and readiness to travel occasionally. **_Eligibility Requirements:_** + _Must be legally authorized to work in the United States without restriction._ + _Must be willing to take a drug test and post-offer physical (if required)_ + _Must be 18 years of age or older_ All qualified applicants will receive consideration for employment without regard to a person's actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.

About Us Over the past 25 years, Waste Harmonics Keter has been at the forefront of the waste and recycling industry, delivering innovative, data-driven solutions. We help companies right-size their waste operations and get out of the waste business with industry-leading expertise, state-of-the-art waste technologies, and industry-leading customer service. Visit Waste Harmonics Keter for more information. Role Purpose The Data Engineer designs, builds, and optimizes scalable, reusable, and performance-oriented data infrastructure that supports enterprise-wide reporting and analytics needs. The role aligns with modern data platform architecture and engineering best practices to ensure long-term maintainability, flexibility, and data trust. Key Responsibilities Design, build, and maintain data pipelines to support reporting, analytics, and business intelligence. Develop and optimize scalable ETL/ELT processes using modern frameworks (e.g., dbt, Azure Data Factory, Fabric). Implement data models that support reporting and analytics needs (e.g., star schema, slowly changing dimensions). Ensure data quality, lineage, and observability for reliable business use. Collaborate with cross-functional teams to deliver integrated data solutions across the enterprise. Troubleshoot and optimize pipeline performance and SQL queries. Deliver documentation for technical workflows, transformations, and logic. Support governance by applying security, access control, and compliance standards in cloud environments. Core Competencies & Behaviors Technical Excellence: Strong understanding of data architecture, modelling, and transformation flows. Problem Solving: Able to troubleshoot complex performance issues and propose efficient solutions. Collaboration: Works effectively with analysts, engineers, and business teams to deliver end-to-end solutions. Continuous Improvement: Applies CI/CD, version control, and best practices to improve workflow efficiency. Detail Orientation: Ensures data accuracy, completeness, and consistency across systems. Adaptability: Thrives in a modern, cloud-based data environment and adapts to evolving technologies. Experience & Knowledge Experience building and maintaining cloud-based data pipelines (e.g., Azure, Snowflake, Fabric). Hands-on use of orchestration tools and ETL/ELT frameworks (dbt, ADF). Strong knowledge of data modelling principles and data architecture concepts. Experience with CI/CD pipelines, version control (e.g., Git), and modern data stack practices. Familiarity with monitoring and observability tools for pipelines. Understanding of security and access controls in cloud data platforms. Qualifications Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience). Proficiency in SQL and modern data stack tools (dbt, Snowflake, Azure Data Factory, Fabric). Strong technical documentation and communication skills. Waste Harmonics Keter Comprehensive Benefits Package Competitive Compensation Annual Bonus Plan at Every Level Continuous Learning and Development Opportunities 401(k) Retirement Savings with Company Match; Immediate Vesting Medical & Dental Insurance Vision Insurance (Company Paid) Life Insurance (Company Paid) Short-term & Long-term Disability (Company paid) Employee Assistance Program Flexible Spending Accounts/Health Savings Accounts Paid Time Off (PTO), Including birthday off, community volunteer hours and a Friday off in the summer 7 Paid Holidays At Waste Harmonics Keter , we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome candidates from all backgrounds to apply.

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.

About Us Over the past 25 years, Waste Harmonics Keter has been at the forefront of the waste and recycling industry, delivering innovative, data-driven solutions. We help companies right-size their waste operations and get out of the waste business with industry-leading expertise, state-of-the-art waste technologies, and industry-leading customer service. Visit Waste Harmonics Keter for more information. Role Purpose The Data Engineer designs, builds, and optimizes scalable, reusable, and performance-oriented data infrastructure that supports enterprise-wide reporting and analytics needs. The role aligns with modern data platform architecture and engineering best practices to ensure long-term maintainability, flexibility, and data trust. Key Responsibilities Design, build, and maintain data pipelines to support reporting, analytics, and business intelligence. Develop and optimize scalable ETL/ELT processes using modern frameworks (e.g., dbt, Azure Data Factory, Fabric). Implement data models that support reporting and analytics needs (e.g., star schema, slowly changing dimensions). Ensure data quality, lineage, and observability for reliable business use. Collaborate with cross-functional teams to deliver integrated data solutions across the enterprise. Troubleshoot and optimize pipeline performance and SQL queries. Deliver documentation for technical workflows, transformations, and logic. Support governance by applying security, access control, and compliance standards in cloud environments. Core Competencies & Behaviors Technical Excellence: Strong understanding of data architecture, modelling, and transformation flows. Problem Solving: Able to troubleshoot complex performance issues and propose efficient solutions. Collaboration: Works effectively with analysts, engineers, and business teams to deliver end-to-end solutions. Continuous Improvement: Applies CI/CD, version control, and best practices to improve workflow efficiency. Detail Orientation: Ensures data accuracy, completeness, and consistency across systems. Adaptability: Thrives in a modern, cloud-based data environment and adapts to evolving technologies. Experience & Knowledge Experience building and maintaining cloud-based data pipelines (e.g., Azure, Snowflake, Fabric). Hands-on use of orchestration tools and ETL/ELT frameworks (dbt, ADF). Strong knowledge of data modelling principles and data architecture concepts. Experience with CI/CD pipelines, version control (e.g., Git), and modern data stack practices. Familiarity with monitoring and observability tools for pipelines. Understanding of security and access controls in cloud data platforms. Qualifications Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience). Proficiency in SQL and modern data stack tools (dbt, Snowflake, Azure Data Factory, Fabric). Strong technical documentation and communication skills. Waste Harmonics Keter Comprehensive Benefits Package Competitive Compensation Annual Bonus Plan at Every Level Continuous Learning and Development Opportunities 401(k) Retirement Savings with Company Match; Immediate Vesting Medical & Dental Insurance Vision Insurance (Company Paid) Life Insurance (Company Paid) Short-term & Long-term Disability (Company paid) Employee Assistance Program Flexible Spending Accounts/Health Savings Accounts Paid Time Off (PTO), Including birthday off, community volunteer hours and a Friday off in the summer 7 Paid Holidays At Waste Harmonics Keter , we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome candidates from all backgrounds to apply.

Skills Required: • Bachelor's Degree in Computer Science, 3+ years related IS experience and 2+ years in BI / data warehousing • Solid understanding of data warehousing concepts, terminology, and architecture • Excellent ETL, SQL and database design and development experience • Experience in implementing ETL / DB / SQL Queries / Star Schema • Experience using a language like Perl or Python to automate ETL/Data Processes jobs. • Excellent team player, able to work with virtual teams • Ability to learn quickly in a dynamic environment • Excellent Communication Skills Skills Preferred: • Database knowledge and how to analyze clickstream/user metrics/events/funnels • Experience using Analytics platforms like MicroStrategy or Business Objects. Tableau highly preferred • Experience in Vertica, ParAccel, Netezza, Teradata, Greenplum or any columnar database • Experience with mobile analytics Additional Information Anvesh Reddy ************

**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: $170,000 - $273,000 USD Purchase, New York: $170,000 - $273,000 USD San Francisco, California: $178,000 - $284,000 USD

Step into the future with Boehringer's Enterprise Data, AI & Platforms (EDP) team! At Boehringer Ingelheim, we believe Data & AI have the power to transform healthcare and improve the lives of millions of patients and animals. As a key member of the EDP team, you will be part of a passionate team to build a strong data & AI culture, deliver on key data transformation initiatives, and shape the future of data-driven decision making across our global organization. We are seeking a highly skilled and experienced Data Engineer to design, build, and maintain our scalable and robust data infrastructure on a cloud platform. In this pivotal role, you will be instrumental in enhancing our data infrastructure, optimizing data flow, and ensuring data availability.. You will be responsible for both the hands-on implementation of data pipelines and the strategic design of our overall data architecture. If this is your passion - not just a job, apply now and be part of something truly meaningful. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies´ success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim´s high regard for our employees. This role is located in our Ridgefield, CT campus **Compensation Data** This position offers a base salary typically between $115,000 and $181,000+. This position may be eligible for a role specific variable or performance based bonus and or other compensation elements. For an overview of our benefits please click here. (***************************************************************** **Duties & Responsibilities** + Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics. + Collaborate with data architects, modelers and IT team members to help define and evolve the overall cloud-based data architecture strategy, including data warehousing, data lakes, streaming analytics, and data governance frameworks + Collaborate with data scientists, analysts, and other business stakeholders to understand data requirements and deliver solutions. + Optimize and manage data storage solutions (e.g., S3, Snowflake, Redshift) ensuring data quality, integrity, security, and accessibility. + Implement data quality and validation processes to ensure data accuracy and reliability. + Develop and maintain documentation for data processes, architecture, and workflows. + Monitor and troubleshoot data pipeline performance and resolve issues promptly. + Consulting and Analysis: Meet regularly with defined clients and stakeholders to understand and analyze their processes and needs. Determine requirements to present possible solutions or improvements. + Technology Evaluation: Stay updated with the latest industry trends and technologies to continuously improve data engineering practices. **Requirements** **Data Engineer** + Associate degree in Computer Science or MIS with a minimum of 4 years experience; or Bachelor degree in Computer Science, or MIS, or related field with a minimum of 2 years of experience; or a Master degree in Computer Science, MIS, with minimum 1 year of experience; or relevant Business or IT experience of minimum of 4 years. + Moderate level of technical understanding and demonstrated knowledge in integrating data between applications and data warehouses + Knowledge of project management and experience working on project teams required. + Moderate knowledge of and experience with life cycle methodology, + Exposure to or experience in Expertise in one or more of a major cloud platform (AWS, Azure or GCP) + Moderate knowledge of and experience with the software development lifecycle. + Experience working in project teams and contributing to a successful outcome + Hands-on experience with AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake Formation + Proficiency in Python and SQL **Sr. Data Engineer** + Associate degree in Computer Science, MIS or related field with a minimum of 8 years experience; or Bachelor degree in Computer Science, or MIS, or related field with minimum of 4 years of experience; or a Master degree in Computer Science, MIS, or related field with minimum 2 years of experience; or relevant Business or IT experience of minimum of 4 years. + Cloud Expertise: Expert-level proficiency in at least one major cloud platform (AWS, Azure, or GCP) with extensive experience in their respective data services (e.g., AWS S3, Glue, Lambda, Redshift, Kinesis; Azure Data Lake, Data Factory, Synapse, Event Hubs; GCP BigQuery, Dataflow, Pub/Sub, Cloud Storage); experience with AWS data cloud platform preferred + SQL Mastery: Advanced SQL writing and optimization skills. + Data Warehousing: Deep understanding of data warehousing concepts, Kimball methodology, and various data modeling techniques (dimensional, star/snowflake schemas). + Big Data Technologies: Experience with big data processing frameworks (e.g., Spark, Hadoop, Flink) is a plus. + Database Systems: Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra). + DevOps/CI/CD: Familiarity with DevOps principles and CI/CD pipelines for data solutions. + Hands-on experience with AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake Formation + Proficiency in Python and SQL **Desired Skills, Experience and Abilities** + 4+ years of progressive experience in data engineering, with a significant portion dedicated to cloud-based data platforms. + ETL/ELT Tools: Hands-on experience with ETL/ELT tools and orchestrators (e.g., Apache Airflow, Azure Data Factory, AWS Glue, dbt). + Data Governance: Understanding of data governance, data quality, and metadata management principles. + AWS Experience: Ability to evaluate AWS cloud applications, make architecture recommendations; AWS solutions architect certification (Associate or Professional) is a plus + Familiarity with Snowflake + Knowledge of dbt (data build tool) + Strong problem-solving skills, especially in data pipeline troubleshooting and optimization **_Eligibility Requirements:_** + _Must be legally authorized to work in the United States without restriction._ + _Must be willing to take a drug test and post-offer physical (if required)_ + _Must be 18 years of age or older_ All qualified applicants will receive consideration for employment without regard to a person's actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.

Job Description 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 highly motivated and technically rigorous Data Platform Engineer to help modernize our foundational data infrastructure. As a Data Platform Engineer, you will be at the center of building the systems that ensure the quality, reliability, and discoverability of mission-critical data. Your work will directly impact the data operators and downstream consumers by creating robust tools, monitoring, and workflows that ensure accuracy, validity, and timeliness of data across the firm. Responsibilities Architect and maintain core components of the Data Platform with a strong focus on reliability and scalability. Build and maintain tools to manage data feeds, monitor validity, and ensure data timeliness. Design and implement event-based data orchestration pipelines. Evaluate and integrate data quality and observability tools via POCs and MVPs. Stand up a data catalog system to improve data discoverability and lineage tracking. Collaborate closely with infrastructure teams to support operational excellence and platform uptime. Write and maintain data quality checks to validate real-time and batch data. Validate incoming real-time data using custom Python-based validators. Ensure low-level data correctness and integrity, especially in high-precision environments. Build robust and extensible systems that will be used by data operators to ensure the health of our data ecosystem. Own the foundational systems used by analysts and engineers alike to trust and explore our datasets. Requirements A Bachelor's degree in Computer Science or a related field; advanced degree preferred. 3+ years of hands-on experience with Python in a data engineering or backend development context Experience with distributed data systems (e.g., Spark, Kafka, Airflow). Proven experience running POCs, evaluating data quality and data platform tools. Demonstrated interest and experience in low-level data reliability, correctness, and observability. Familiarity with systems-level thinking and the principles of data operations in production. Background in high-performance computing or real-time data processing is a plus. Prior experience in a quantitative or financial setting is highly desirable. Benefits Competitive salary, plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets. PPO Health, dental, and vision insurance premiums fully covered for you and your dependents. Pre-Tax Commuter Benefits - making your commute smoother. Trexquant is an Equal Opportunity Employer

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: $170,000 - $273,000 USD Purchase, New York: $170,000 - $273,000 USD San Francisco, California: $178,000 - $284,000 USD