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  • Lead HPC Architect Cybersecurity - High Performance & Computational Data Ecosystem

    Icahn School of Medicine at Mount Sinai 4.8company rating

    Data engineer job in New York, NY

    The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, a clinical data warehouse team and a data services team. The Lead HPC Architect, Cybersecurity, High Performance Computational and Data Ecosystem, is responsible for designing, implementing, and managing the cybersecurity infrastructure and technical operations of Scientific Computing's computational and data science ecosystem. This ecosystem includes a 25,000+ core and 40+ petabyte usable high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. The HPC system is the fastest in the world at any academic biomedical center (Top 500 list). To meet Sinai's scientific and clinical goals, the Lead brings a strategic, tactical and customer-focused vision to evolve the ecosystem to be continually more resilient, secure, scalable and productive for basic and translational biomedical research. The Lead combines deep technical expertise in cybersecurity, HPC systems, storage, networking, and software infrastructure with a strong focus on service, collaboration, and strategic planning for researchers and clinicians throughout the organization and beyond. The Lead is an expert troubleshooter, productive partner and leader of projects. The lead will work with stakeholders to make sure the HPC infrastructure is in compliance with governmental funding agency requirements and to promote efficient resource utilizations for researchers This position reports to the Director for HPC and Data Ecosystem in Scientific Computing and Data. Key Responsibilities: HPC Cybersecurity & System Administration: Design, implement, and manage all cybersecurity operations within the HPC environment, ensuring alignment with industry standards (NIST, ISO, GDPR, HIPAA, CMMC, NYC Cyber Command, etc.). Implement best practices for data security, including but not limited to encryption (at rest, in transit, and in use), audit logging, access control, authentication control, configuration managements, secure enclaves, and confidential computing. Perform full-spectrum HPC system administration: installation, monitoring, maintenance, usage reporting, troubleshooting, backup and performance tuning across HPC applications, web service, database, job scheduler, networking, storage, computes, and hardware to optimize workload efficiency. Lead resolution of complex cybersecurity and system issues; provide mentorship and technical guidance to team members. Ensure that all designs and implementations meet cybersecurity, performance, scalability, and reliability goals. Ensure that the design and operation of the HPC ecosystem is productive for research. Lead the integration of HPC resources with laboratory equipment for data ingestion aligned with all regulatory such as genomic sequencers, microscopy, clinical system etc. Develop, review and maintain security policies, risk assessments, and compliance documentation accurately and efficiently. Collaborate with institutional IT, compliance, and research teams to ensure all regulatory, Sinai Policy and operational alignment. Design and implement hybrid and cloud-integrated HPC solutions using on-premise and public cloud resources. Partner with other peers regionally, nationally and internationally to discover, propose and deploy a world-class research infrastructure for Mount Sinai. Stay current with emerging HPC, cloud, and cybersecurity technologies to keep the organization's infrastructure up-to-date. Work collaboratively, effectively and productively with other team members within the group and across Mount Sinai. Provide after-hours support as needed. Perform other duties as assigned or requested. Requirements: Bachelor's degree in computer science, engineering or another scientific field. Master's or PhD preferred. 10 years of progressive HPC system administration experience with Enterprise Linux releases including RedHat/CentOS/Rocky Systems, and batch cluster environment. Experience with all aspects of high-throughput HPC including schedulers (LSF or Slurm), networking (Infiniband/Gigabit Ethernet), parallel file systems and storage, configuration management systems (xCAT, Puppet and/or Ansible), etc. Proficient in cybersecurity processes, posture, regulations, approaches, protocols, firewalls, data protection in a regulated environment (e.g. finance, healthcare). In-depth knowledge HIPAA, NIST, FISMA, GDPR and related compliance standards, with prove experience building and maintaining compliant HPC system Experience with secure enclaves and confidential computing. Proven ability to provide mentorship and technical leadership to team members. Proven ability to lead complex projects to completion in collaborative, interdisciplinary settings with minimum guidance. Excellent analytical ability and troubleshooting skills. Excellent communication, documentation, collaboration and interpersonal skills. Must be a team player and customer focused. Scripting and programming experience. Preferred Experience Proficient with cloud services, orchestration tools, openshift/Kubernetes cost optimization and hybrid HPC architectures. Experience with Azure, AWS or Google cloud services. Experience with LSF job scheduler and GPFS Spectrum Scale. Experience in a healthcare environment. Experience in a research environment is highly preferred. Experience with software that enables privacy-preserving linking of PHI. Experience with Globus data transfer. Experience with Web service, SAP HANA, Oracle, SQL, MariaDB and other database technologies. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.
    $89k-116k yearly est. 1d ago
  • Senior Architect - NYC Code, Development & CA Specialist

    The Highrise Group

    Data engineer job in New York, NY

    Highrise | Brooklyn, NY (Hybrid) Highrise is a full-service Architecture, Expediting, and Development firm focused on complex New York City projects. We are seeking a high-level Senior Architect to join our in-house Brooklyn team and lead projects from design through construction. This is a hybrid position with 2-3 days remote and the remainder in our Brooklyn office. Role & Responsibilities Lead architectural design and documentation for new buildings and major alterations Manage Construction Administration (CA), including: RFIs, submittals, shop drawings, and field conditions Site visits and coordination with GC, consultants, and ownership Issue resolution during construction Ensure compliance with NYC Zoning, Building Code, Energy Code, and ADA Coordinate DOB filings and agency reviews Collaborate closely with ownership, expeditors, engineers, and development teams Review work and mentor junior staff Qualifications Licensed Architect preferred (NY license a strong plus) Proven experience in Construction Administration for NYC projects Deep working knowledge of NYC Code, Zoning, Energy, and ADA Strong development-driven project background Advanced proficiency in AutoCAD and Revit Able to independently manage projects from concept through CO What We Offer Very competitive compensation Generous PTO Hybrid schedule (2-3 days remote) Direct access to ownership and decision-making Long-term growth within a fast-growing firm High-quality NYC development projects 📍 Location: Brooklyn, NY 🗓 Schedule: Full-Time, Hybrid (2-3 days remote)
    $99k-129k yearly est. 3d ago
  • ETL Talend MDM Architect

    Trg 4.6company rating

    Data engineer job in New York, NY

    Responsibilities: • Develop and test Extract, Transformation, and Loading (ETL) modules based on design specifications • Develop and test ETL Mappings in Talend • Plan, test, and deploy ETL mappings, and database code as part of application build process across the enterprise • Provide effective communications with all levels of internal and external customers and staff • Must demonstrate knowledge in the following areas: o Data Integration o Data Architecture o Team Lead experience is a plus • Understand, analyze, assess and recommend ETL environment from technology strategy and operational standpoint • Understand and assess source system data issues and recommend solution from data integration standpoint • Create high level, low level technical design documents for data integration • Design exceptions handling, audit and data resolution processes • Performance tune ETL environment • Conduct proof of concepts • Estimation of work based on functional requirements documents • Identify system deficiencies and recommending solutions • Designing, coding, and writing unit test cases from functional requirements • Delivering efficient and bug-free ETL packages and documentation • Maintenance and support of enterprise ETL jobs • Experience with Talend Hadoop tools is a plus Basic Qualifications: • 3+ years of development experience on Talend ETL tools • 7+ years working with one or more of the following ETL Tools: Talend, Informatica, Ab Initio or Data Stage • 7+ years proficient experience as a developer • Bachelor's Degree in Computer Science or equivalent • Database (Oracle, SQL Server, DB2) • Database Programming (Complex SQL, PL/SQL development knowledge) • Data Modeling • Business Analysis • Top level performer with ability to work independently in short time frames • Proficient working in a Linux environment • Experience in scripting languages (Shell, Python or Perl) • 5+ years of experience deploying large scale projects ETL projects that • 3+ years of experience in a development lead position • Data analysis, data mapping, data loading, and data validation • Understand reusability, parameterization, workflow design, etc. • Thorough understanding of Entire life cycle of Software and various Software Engineering Methodologies • Performance tuning of interfaces that extract, transform and load tens of millions of records • Knowledge of Hadoop ecosystem technologies is a plus Additional Information If you are comfortable with the position and location then please revert me back at the earliest with your updated resume and following details or I would really appreciate if you can call me back on my number. Full Name: Email: Skype id: Contact Nos.: Current Location: Open to relocate: Start Availability: Work Permit: Flexible time for INTERVIEW: Current Company: Current Rate: Expected Rate: Total IT Experience [Years]: Total US Experience [Years]: Key Skill Set: Best time to call: In case you are not interested, I will be very grateful if you can pass this position to your colleagues or friends who might be interested. All your information will be kept confidential according to EEO guidelines.
    $100k-125k yearly est. 19h ago
  • Principal Data Scientist : Product to Market (P2M) Optimization

    The Gap 4.4company rating

    Data engineer job in New York, NY

    About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What You'll Do * Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges. * Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. * Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. * Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. * Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. * Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights. * Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. * Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value * Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. * Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are * Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. * 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. * Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes. * Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation. * Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib. * Hands-on experience with enterprise platforms such as Databricks and cloud environments * Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. * Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences. * Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations. * Experience managing code quality, CI/CD pipelines, and GitHub-based workflows. Preferred Qualifications * Experience shaping and executing multi-year analytics strategies in retail or supply chain domains. * Proven ability to balance long-term innovation with short-term deliverables. * Background in agile product development and stakeholder alignment for enterprise-scale initiatives. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity. Salary Range: $201,700 - $267,300 USD Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.
    $88k-128k yearly est. 25d ago
  • ETL Architect

    Us Tech Solutions 4.4company rating

    Data engineer job in Jersey City, NJ

    US Tech Solutions is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit our website ************************ We are constantly on the lookout for professionals to fulfill the staffing needs of our clients, sets the correct expectation and thus becomes an accelerator in the mutual growth of the individual and the organization as well. Keeping the same intent in mind, we would like you to consider the job opening with US Tech Solutions that fits your expertise and skillset. Job Description Responsibilities: • Assist in the identification/resolution of critical path issues related to the generation of technical specifications and associated Informatica ETL development • Provide solutions to design and develop ETL mappings and related activities; ability to articulate in architecture terms • Strong ability to author technical solution documents, and architecture components • Provide technical support and troubleshooting to data integration issues • Work together with the business intelligence team to design and develop reporting and dashboard solutions • Create and maintain detailed technical documentation on developments • Provide solutions to fine tune ETLs and database components for performance • Provide testing strategy and support execution • Provide deployment and release management strategy and support Qualifications Qualifications: • BS in Computer Science ore related IT field, or equivalent work experience required • Experience: 3-5 years development experience with database solutions (Oracle SQL, PL/SQL) and Unix scripting • Hands on development experience 5+ years' experience in data integration (ETL) specifically in Informatica PowerCenter9.5 and above • Experience in developing data warehouse solutions in the Finance industry • Ability to analyze information architectures understands and derives business requirements • Ability to collaborate and work in a team environment • Proactive thinking and ability to work under minimal supervision • Excellent analytical and communication skills and ability to deal effectively with customers • Good communication skills both oral and written to be able to work with both the technical and banking users • Strong project experience in providing data integration solutions to Data Warehouse and/or Data Mart implementations Additional Information Kushal kumar **********
    $110k-141k yearly est. 19h ago
  • Data Governance Consultant #36682989

    Axiom Path

    Data engineer job in Bridgewater, NJ

    Job Description Be Part of a Dynamic Team This organization is advancing enterprise-wide data practices to support a highly regulated, innovation-driven environment. The data governance function is in a growth phase, focused on establishing consistent standards, accountability, and stewardship across business domains. The team partners closely with Legal, Compliance, Security, and business leaders to ensure data is managed responsibly, securely, and in alignment with organizational priorities. What's In Store For You This role offers the opportunity to play a highly visible part in shaping and executing an enterprise data governance program. The consultant will work closely with senior leadership while gaining hands-on experience across multiple governance use cases. The position supports onsite collaboration and provides exposure to a wide range of stakeholders and governance challenges within a growing organization. How You Will Make an Impact Execute enterprise data governance initiatives in partnership with business and technical teams Identify and onboard data owners and stewards across functional areas Support early governance use cases such as data retention and data classification Draft, update, and maintain governance policies, procedures, and standards Facilitate workshops and enablement sessions to drive adoption and awareness Partner with Legal, Compliance, and Security to align governance practices Capture risks, gaps, and opportunities to mature governance capabilities Act as a visible representative of governance initiatives across the enterprise Are You an Experienced Data Governance Professional Ready to Make an Impact? 3-7 years of experience in data governance or related consulting roles Strong understanding of data governance operating models and execution Experience authoring and maintaining governance policies Knowledge of data privacy, classification, and handling requirements Ability to lead discussions and workshops with senior stakeholders Consultant mindset with comfort operating in evolving environments Strong communication, facilitation, and organizational skills Technical degree or equivalent professional experience
    $92k-123k yearly est. 9d ago
  • Data Scientist II - Marketing Mix Models

    The Walt Disney Company 4.6company rating

    Data engineer job in New York, NY

    Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role. **Responsibilities** + Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams + Quantify ROI on marketing investment,determineoptimalspend range across the portfolio,identifyproposed efficiency caps by channel, set budgetamountsand inform subscriber acquisition forecasts + Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting,messagingand tactics, and that help cross-validate model results + Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV,etc) + Support long-term MMM (et.al.) automation,productionalizationand scale with support from data engineering and product + Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets,channelsand subscriber types **Basic Qualifications** + Bachelor's degree in advanced Mathematics, Statistics, DataScienceor comparable field of study + 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices + Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency andoptimizespend, flighting and mix to maximize return on ad spend (i.e., MMM) + Exposure / understanding of media attribution practices for digital and linear media, the datarequiredto power them and methodologies for measurement + Understanding of incrementality experiments tovalidatemodel recommendations and gain learnings on channel/publisher efficacy + Exposure to / familiarity withwith BI/data concepts and experience building out self-service marketing data solutions + Strong coding experience in one (or more) data programming languages like Python/R + Ability to draw insights and conclusions from data to inform model development and business decisions + Experience in SQL **Preferred Qualifications** + Mastersdegree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. **Job ID:** 10137431 **Location:** New York,New York **Job Posting Company:** Disney Direct to Consumer The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.
    $123k-165k yearly 17d ago
  • Data Scientist, Forecasting

    Tapestry, Inc. 4.7company rating

    Data engineer job in New York, NY

    We believe that difference sparks brilliance, so we welcome people and ideas from everywhere to join us in stretching what's possible. At Tapestry, being true to yourself is core to who we are. When each of us brings our individuality to our collective ambition, our creativity is unleashed. This global house of brands - Coach & Kate Spade New York - was built by unconventional entrepreneurs and unexpected solutions, so when we say we believe in dreams, we mean we believe in making them happen. We're always on a journey to becoming our best, but you can count on this: Here, your voice is valued, your ambitions are supported, and your work is recognized. A member of the Tapestry family, we are part of a global house of brands that has unwavering optimism and is committed to being innovative and wholly inclusive. Primary Purpose The Data Scientist, Forecasting will play a critical role in developing and maintaining accurate, scalable forecasting solutions that drive strategic and operational decision-making across the organization. This individual will own end-to-end forecasting processes across multiple time horizons, brands, channels, and regions. The ideal candidate will bring expertise in statistical modeling and machine learning, and will partner closely with cross-functional teams to deliver insights and tools that support business growth and efficiency. Key Responsibilities * Design, develop, and maintain a comprehensive suite of retail forecasts for supply chain, sales, and customer traffic among others. * Build and deploy forecasting models using time series analysis, regression techniques, and machine learning algorithms. * Develop tools and frameworks to enable ad-hoc forecast updates, integrate user feedback, and incorporate outputs from other models. * Scale forecasting methodology and drive increased accuracy and flexibility. * Analyze large-scale datasets to uncover trends, seasonality, and external drivers such as promotions, economic indicators, weather, and competitive activity. * Integrate product lifecycle stages, promotional campaigns, and macroeconomic variables into forecasting models. * Collaborate with stakeholders to understand business objectives and ensure forecasts align with strategic and operational planning needs. * Communicate forecast insights and recommendations effectively to both technical and non-technical audiences, including senior leadership. * Document forecasting methodologies and maintain version control using tools such as Git and Bitbucket; leverage model and feature stores to ensure enterprise-wide accessibility. * Stay informed on industry trends, consumer behavior, and advancements in forecasting methodologies. Qualifications * Bachelor's degree in Statistics, Economics, Data Science, Applied Mathematics, or a related quantitative field (Master's or PhD preferred). * 3-5 years of demonstrated experience in retail forecasting, demand planning, or a similar analytics-focused role. * Proficiency in Python and advanced SQL; experience with forecasting libraries and platforms (e.g., Prophet, scikit-learn). * Familiarity with cloud-based forecasting services (e.g., AWS Forecast) and multi-environment cloud architectures. * Experience with modern Machine Learning Operations and tools for Code, Model and Data versioning and governance. * Strong communication skills with the ability to translate complex analytical concepts for non-technical stakeholders. * Proven ability to thrive in fast-paced, cross-functional environments. * Ability to work with ambiguity and prioritize requests and multiple stakeholders. * Knowledge of retail operations, merchandising, and supply chain processes is a plus. Our Competencies for All Employees * Courage: Doesn't hold back anything that needs to be said; provides current, direct, complete, and "actionable" positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary. * Creativity: Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings. * Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect. * Dealing with Ambiguity: Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn't upset when things are up in the air; doesn't have to finish things before moving on; can comfortably handle risk and uncertainty. * Drive for Results: Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results. * Interpersonal Savvy: Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably. * Learning on the Fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything. Our Competencies for All People Managers * Strategic Agility: Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans. * Developing Direct Reports and Others: Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder. * Building Effective Teams: Blends people into teams when needed; creates strong morale and spirit in his/her team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team. Tapestry, Inc. is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant's or employee's qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law. Americans with Disabilities Act (ADA) Tapestry, Inc. will provide applicants and employees with reasonable accommodation for disabilities or religious beliefs. If you require reasonable accommodation to complete the application process, please contact Tapestry People Services at ************** or ****************************** Visit Tapestry, Inc. at ************************ Work Setup: HYBRID #LI-HYBRID BASE PAY RANGE $130,000.00 TO $145,000.00 Here are some of the benefits that we offer: Medical insurance, Dental insurance, Vision insurance, 401 (K), Paid Paternity and Maternity leave, Commuter Benefits, Disability insurance and Tuition assistance. Please click here for a complete list of U.S Corporate Compensation & Benefits. Req ID: 121007
    $130k-145k yearly 60d+ ago
  • Symantec Data Loss Prevention (DLP) Consultant

    Sedna Consulting Group

    Data engineer job in Roseland, NJ

    Primary duties may include, but are not limited to troubleshooting, investigating, configuration, implementation, ongoing management and support of the Data Loss Prevention program. Must possess a high degree of initiative, motivation, and problem solving skills. Ability to support and liaise with business data owners to incorporate data protection products and provisions into their processes. Responsible for data security pertaining to identifying potential security vulnerabilities, necessary controls to protect data, determining effectiveness of existing controls or designing those needed. Responsibilities may also include ownership of data security devices, applications, systems, processes, or policies. Qualifications 6+ years' experience in Information Security support/operations or design/engineering role. Data Loss Prevention knowledge of concepts/products (Symantec DLP, McAfee DLP, Digital Client, RSA, etc) and Data Encryption concepts/products (Vormetric, Protegrity, Voltage, etc). Ability to communicate security, data protection, data loss prevention related concepts to a broad range of technical and non-technical staff effectively at multiple organizational levels. Proven background in security engineering, data protection, data lifecycle management, data loss prevention or the supporting of these security solutions. Experience with Symantec DLP in an enterprise environment is required. Experience deploying in the cloud and on-premises. Experience with networking concepts/protocols. Experience with scripting languages (Perl, Python, or PowerShell). Experience with large scale networks including Microsoft Exchange and Active Directory. Additional Information If you are interested, feel free to call me: ************
    $92k-123k yearly est. 19h ago
  • ETL Architect

    Integrated Resources 4.5company rating

    Data engineer job in New York, NY

    A Few Words About Us Integrated Resources, Inc is a premier staffing firm recognized as one of the tri-states most well-respected professional specialty firms. IRI has built its reputation on excellent service and integrity since its inception in 1996. Our mission centers on delivering only the best quality talent, the first time and every time. We provide quality resources in four specialty areas: Information Technology (IT), Clinical Research, Rehabilitation Therapy and Nursing. Position: ETL Architect Location: NYC Duration: 6 months Job Description: This opportunity is for individuals who have Hands-on experience in data warehouse design and development. The Role demands more than a typical ETL lead role as it interacts outwardly on projects with architects, PM's, OPS, data modelers, developers, admins, DBA's and testers. This is a hands-on delivery-focused role, and the individual will be responsible for technical delivery of data warehouse and data integration projects Must have skills • 7-10 years Hands on experience with Informatica ETL in designing and developing ETL processes based on multiple sources using ETL tools • Experience in Architecting end to end ETL solutions • Hands on UNIX experience. Scripting (e.g. shell, perl, alerts, cron, automation) • Expert at all aspects of relational database design • Experience working with engineering team with respect to database-related performance tuning, writing of complex SQL, indexing, etc. Good to Have: • Experience with IDQ, MDM, other ETL tools • Experience with dashboard and report development • Experience with financial services firms will be preferred Additional Information Kind Regards Sachin Gaikwad Technical Recruiter Integrated Resources, Inc. Direct Line : 732-429-1920
    $102k-130k yearly est. 60d+ ago
  • Strategy Data & AI Consultant

    Red Hill Consulting LLC

    Data engineer job in Jersey City, NJ

    Job DescriptionBenefits: 401(k) Opportunity for advancement Training & development About the Role Red Hill Consulting (RHC) is seeking a highly skilled Senior Strategy, Data & AI Consultant to join our consulting team. This role is ideal for a candidate who excels at transforming complex organizational challenges into clear, strategic, and forward-looking solutions. As an RHC Consultant, you will work with cross-functional technical and operational teams to shape data governance frameworks, AI adoption strategies, and technology roadmaps that support enterprise-wide modernization. This position offers the opportunity to influence high-impact initiatives, guide organizational data maturity, and help design responsible, innovative AI capabilities that enhance efficiency, transparency, and long-term digital readiness. The role is part-time (four days per week) with the possibility of transitioning into a full-time position based on performance and project needs. Key Responsibilities Develop and deliver Data Governance Strategies that strengthen organizational data quality, transparency, and accessibility. Create comprehensive AI Adoption and AI Governance roadmaps, including culture-change initiatives and staff upskilling plans. Conduct organizational Data Maturity Assessments and recommend actionable steps to elevate maturity across people, processes, and technologies. Integrate Responsible AI principles into strategic planning, ensuring ethical, secure, and compliant use of AI solutions. Establish a curation and evaluation process for new AI innovations and use cases. Build and implement AI Governance and Risk Assessment processes tailored to enterprise environments. Identify and define the people, processes, and technology architecture required to operationalize AI successfully. Lead and manage data governance initiatives, from discovery and planning through successful delivery and documentation. Collaborate closely with technical teams to ensure the Data & AI strategy aligns with organizational needs and broader digital transformation goals. Solve complex information, data, and technology challenges by designing solutions that demonstrate measurable value. Manage relationships with key internal stakeholders to improve collaboration and drive operational efficiency. Plan, prioritize, and assign project work to ensure successful, timely execution. Facilitate working groups through interviews, workshops, process mapping, and business analysis activities. Qualifications & Skills Required Qualifications Bachelors degree in Engineering, Data/Computer Science, or a related field (Masters preferred). 3+ years leading AI strategy or executing AI initiatives in mid-to-large organizations. 5+ years working in or with engineering, design, or construction organizations. 2+ years hands-on experience with Microsoft Azure AI and storage tools. Strong proficiency with Microsoft 365 (Word, Excel, PowerPoint) and Adobe Acrobat Pro. Exceptional analytical, communication, and conceptual thinking skills. Ability to manage multiple priorities, meet deadlines, and operate independently. Preferred Qualifications Experience with additional AI platforms or tools. Experience in large-scale digital transformation or enterprise architecture. About Us At Red Hill Consulting LLC, we are more than just consultantswe are problem solvers, innovators, and strategic partners. With expertise in IT, governance, risk management, compliance, and business transformation, we help organizations navigate complexity and drive meaningful change. Our team specializes in delivering tailored, high-impact solutions that empower businesses to optimize processes, enhance security, and leverage data-driven insights. Whether it's implementing cutting-edge technology, refining operational strategies, or ensuring regulatory compliance, we take a proactive, hands-on approach to solving challenges. Rooted in our core values of Integrity, Innovation, and Excellence, we foster a collaborative environment where expertise meets execution. Our clients span industries such as finance, healthcare, government, and technology, and we pride ourselves on delivering measurable results that drive sustainable success.
    $92k-124k yearly est. 22d ago
  • Purview Data Governance Consultant

    Tryton TC

    Data engineer job in New York, NY

    OR (c2c) Tryton TC is a specialized IT staffing firm connecting top-tier technical talent with innovative organizations across the country. We take pride in partnering with exceptional professionals who deliver meaningful impact and value in every engagement. Position Overview We are seeking a Data Quality Consultant to join our client's team in New York City. This role will focus on implementing and optimizing data quality solutions, ensuring clean, consistent, and reliable data across the organization. The ideal candidate will bring both technical expertise and strong communication skills to effectively engage with executive-level stakeholders. Key Responsibilities Lead hands-on implementation and configuration of data quality tools and technologies Collaborate with business and technical teams to define and maintain data quality standards Partner with senior and executive stakeholders to communicate project progress and insights Troubleshoot, optimize, and document data quality processes and workflows Requirements Required Skills and Experience Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field 3-5 years of professional experience in data quality, data governance, or data management roles Proven experience implementing data quality tools or technologies Expertise in at least one of the following: Microsoft Purview (Data Quality) Google Dataplex (Data Quality) Other tools such as Informatica, Ataccama, or SODA Strong communication and presentation skills, with the ability to engage with executive-level stakeholders Ability to work onsite in New York City 2-3 days per week Preferred Qualifications Experience within the energy and utilities sector Advanced knowledge of data governance frameworks or data management best practices
    $88k-118k yearly est. 43d ago
  • Purview Data Governance Consultant

    Tryton TC LLC

    Data engineer job in New York, NY

    Job DescriptionDescription: Purview Data Governance Consultant OR (c2c) About Tryton TC Tryton TC is a specialized IT staffing firm connecting top-tier technical talent with innovative organizations across the country. We take pride in partnering with exceptional professionals who deliver meaningful impact and value in every engagement. Position Overview We are seeking a Data Quality Consultant to join our client's team in New York City. This role will focus on implementing and optimizing data quality solutions, ensuring clean, consistent, and reliable data across the organization. The ideal candidate will bring both technical expertise and strong communication skills to effectively engage with executive-level stakeholders. Key Responsibilities Lead hands-on implementation and configuration of data quality tools and technologies Collaborate with business and technical teams to define and maintain data quality standards Partner with senior and executive stakeholders to communicate project progress and insights Troubleshoot, optimize, and document data quality processes and workflows Requirements: Required Skills and Experience Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field 3-5 years of professional experience in data quality, data governance, or data management roles Proven experience implementing data quality tools or technologies Expertise in at least one of the following: Microsoft Purview (Data Quality) Google Dataplex (Data Quality) Other tools such as Informatica, Ataccama, or SODA Strong communication and presentation skills, with the ability to engage with executive-level stakeholders Ability to work onsite in New York City 2-3 days per week Preferred Qualifications Experience within the energy and utilities sector Advanced knowledge of data governance frameworks or data management best practices
    $88k-118k yearly est. 13d ago
  • Data Scientist, User Operations

    Openai 4.2company rating

    Data engineer job in New York, NY

    About the Team OpenAI's User Operations organization is building the data and intelligence layer behind AI-assisted operations - the systems that decide when automation should help users, when humans should step in, and how both improve over time. Our flagship platform is transforming customer support into a model for “agent-first” operations across OpenAI. About the Role As a Data Scientist on User Operations, you'll design the models, metrics, and experimentation frameworks that power OpenAI's human-AI collaboration loop. You'll build systems that measure quality, optimize automation, and turn operational data into insights that improve product and user experience at scale. You'll partner closely with Support Automation Engineering, Product, and Data Engineering to ensure our data systems are production-grade, trusted, and impactful. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. Why it matters Every conversation users have with OpenAI products produces signals about how humans and AI interact. User Ops Data Science turns those signals into insights that shape how we support users today and design agentic systems for tomorrow. This is a unique opportunity to help define how AI collaboration at scale is measured and improved inside OpenAI. In this role, you will: Build and own metrics, classifiers, and data pipelines that determine automation eligibility, effectiveness, and guardrails. Design and evaluate experiments that quantify the impact of automation and AI systems on user outcomes like resolution quality and satisfaction. Develop predictive and statistical models that improve how OpenAI's support systems automate, measure, and learn from user interactions. Partner with engineering and product teams to create feedback loops that continuously improve our AI agents and knowledge systems. Translate complex data into clear, actionable insights for leadership and cross-functional stakeholders. Develop and socialize dashboards, applications, and other ways of enabling the team and company to answer product data questions in a self-serve way Contribute to establishing data science standards and best practices in an AI-native operations environment. Partner with other data scientists across the company to share knowledge and continually synthesize learnings across the organization You might thrive in this role if you have: 10+ years of experience in data science roles within product or technology organizations. Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. Expert-level SQL and proficiency in Python for analytics, modeling, and experimentation. Proven experience designing and interpreting experiments and making statistically sound recommendations. Experience building data systems or pipelines that power production workflows or ML-based decisioning. Experience developing and extracting insights from business intelligence tools, such as Mode, Tableau, and Looker. Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. Ability to build relationships with diverse stakeholders and cultivate strong partnerships. Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. Strong communication skills and the ability to translate complex data into stories for non-technical partners. Nice-to-haves: Familiarity with large language models or AI-assisted operations platforms. Experience in operational automation or customer support analytics. Background in experimentation infrastructure or human-AI interaction systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
    $88k-129k yearly est. Auto-Apply 46d ago
  • Data Marketing and Data Science Consultant

    Fifty-Five

    Data engineer job in New York, NY

    Part of the Brandtech Group, fifty-five is a global data company with 300+ employees. We help brands collect, analyze and activate their data across paid, earned and owned media channels to increase their marketing ROI and improve customer acquisition and retention. Headquartered in Paris with offices all around the world, the data company was named by Forbes and Statista as one of the Best Consulting Firms in 2024. Role You will join our New York City consulting team as well as our global team of Data Science experts, supporting projects in marketing analytics, data science, measurement and reporting initiatives. You will bring your data marketing and your data science expertise to the team and work with other consultants and technical experts to develop world-leading solutions for our clients. Responsibilities: As a Data Marketing & Data Science Consultant, you will leverage your business and technical skills to perform various tasks for our clients: Understand our clients' data marketing needs, transform them into actionable solutions, and oversee their implementations Synthesize detailed data and information, and communicate key insights and technical concepts to stakeholders of different disciplines, both internally at 55 and externally with our clients Collaborate with 55's data scientists and engineers to scope and check machine learning and AI project requirements Develop and adapt data science solutions using a mix of programming and analytics skills Help the team develop new business opportunities Profile: Bachelor's or Master's in a relevant degree (Business, Marketing, Computer Science, Mathematics…) 1-4 years of working experience in analytics for digital marketing and/or digital media and/or consulting Proficiency in SQL needed, other data programming languages (Python…) are a plus Experience with data dashboarding (e.g. Tableau, Power BI, Looker Studio) Familiarity with cloud computing platforms, particularly GCP Strong verbal, written and visual communication skills for technical and non-technical audiences, both internal and external Ability to advise on best practices and governance for data science tools and processes, and to document and share knowledge throughout projects Initiative to create innovative solutions for our clients' problems and business objectives related to marketing data Ability to drive next steps and deliverables from initial idea to execution as part of a cross-disciplinary team Ability to learn new concepts and new solutions arising from the ever-changing environment of data marketing We encourage you to apply, even if you don't meet every single qualification listed. Your capacity for growth and a strong desire to learn and evolve are the most critical traits we look for. We're committed to giving you the tools and support you need to make this happen. Benefits: Competitive salary range: $65,000/yr - $100,000/yr based on experience 20 days of PTO, 5 sick days, and generous company holidays (13 in 2025) Benefits eligibility upon hire, including medical, dental, vision and 401K US headquarters in prime NYC neighborhood - SoHo Monthly connectivity stipend Travel opportunities (including to Europe) Introductory training with our global team, and constant support from our internal experts to continually grow your skills and develop new expertise
    $65k-100k yearly Auto-Apply 43d ago
  • Data Scientist, GTM Analytics

    Airtable 4.2company rating

    Data engineer job in New York, NY

    Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Our data team's mission is to fuel Airtable's growth and operations. We are a strategic enabler, by building high-quality and customer-centric data products and solutions. We are looking for a Data Scientist to work directly with Airtable's business stakeholders. Your data product will be instrumental in accelerating the efficiency of Customer Engagement (CE) organizations including sales, CSG and revenue operations teams. This role offers the opportunity to significantly impact Airtable's strategy and go-to-market execution, providing you with a platform to deploy your data skills in a way that directly contributes to our company's growth and success. What you'll do Champion AI Driven Data Product with Scalability: Design and implement ML models and AI solutions to enable CE team with actionable insights and recommendations. Build scalable data pipelines and automated workflows with MLOps best practices. Support Key Business Processes: Provide strategic insights, repeatable frameworks and thought partnership independently to support key CE business processes like territory carving, annual planning, pricing optimization and performance attribution, etc.. Strategic Analysis: Drive in-depth deep-dive analysis to ensure accuracy and relevance. Influence the business stakeholders with a good story telling of the data. Tackle ambiguous problems to uncover business value with minimal oversight. Develop Executive Dashboards: Design, build, and maintain high-quality dashboards and BI tools. Partner with Revenue Operations team to enable vast roles of CE team efficiently with the data products. Strong Communication Skills: Effectively communicate the “so-what” of an analysis, illustrating how insights can be leveraged to drive business impact across the organization. Who you are Education: Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS), MS/MBA preferred. Industry Experience: 4+ years of working experience as a data scientist / analytics engineer in high-growth B2B SaaS, preferably supporting sales, CSG or other go-to-market stakeholders. Demonstrated business acumen with a deep understanding of Enterprise Sales strategies (sales pipeline, forecast models, sales capacity, sales segmentation, quota planning), CSG strategies (customer churn risk model, performance attribution) and Enterprise financial metrics (ACV, ARR, NDR) Familiar with CRM platforms (i.e., Salesforce) Technical Proficiency: 6+ years of experience working with SQL in modern data platforms, such as Databricks, Snowflake, Redshift, BigQuery 6+ years of experience working with Python or R for analytics or data science projects 6+ years of experience building business facing dashboards and data models using modern BI tools like Looker, Tableau, etc. Proficient-level experience developing automated solutions to collect, transform, and clean data from various sources, by using tools such as dbt, Fivetran Proficient knowledge of data science models, such as regression, classification, clustering, time series analysis, and experiment design Hands-on experience with batch LLM pipeline is preferred Excellent communication skills to present findings to both technical and non-technical audiences. Passionate to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful. Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:$179,500-$221,500 USDFor all other work locations (including remote), the base salary range for this role is:$161,500-$199,300 USD Please see our Privacy Notice for details regarding Airtable's collection and use of personal information relating to the application and recruitment process by clicking here. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at ***************. Learn more about avoiding job scams here.
    $179.5k-221.5k yearly Auto-Apply 2d ago
  • Staff Data Engineer- Data Architect

    Headspace 4.7company rating

    Data engineer job in New York, NY

    About the Staff Data Engineer, Data Architect at Headspace: At Headspace, our mission is to transform mental healthcare to improve the health and happiness of the world. Core to this mission is our ability to responsibly and ethically leverage data to provide personalized care to each of our members, meeting them where they are on the mental health continuum. We're looking for an experienced Data Architect who can also operate hands-on as a Staff Data Engineer. You will design and evolve our domain-based Enterprise Data Model (EDM), lead Master Data Management (MDM) initiatives, and build production-grade data pipelines in Python / PySpark. The ideal candidate is equally comfortable whiteboarding conceptual models, building and reviewing ETL jobs, and coaching engineering teams on data architecture best practices. Location: We are currently hiring this role in San Francisco (hybrid), Los Angeles (remote), New York City (remote) and Seattle (remote). Candidates must permanently reside in the US full-time and be based in these cities. What you will do: Lead the Development of Scalable Data Infrastructure: Drive the architecture and implementation of cutting-edge py Spark data pipelines to ingest and transform diverse datasets into the organization's data lake in a fault-tolerant, robust system. Set Design Patterns: Drive the creation and enforcement of standard conventions in code, architecture, schema design, and table design. Architect World-Class Data Platforms: Design and lead the evolution of secure, compliant, and privacy-forward data warehousing platforms to support the unique demands of the healthcare industry. Strategic Collaboration for Business Insights: Partner with analytics, product, and engineering leaders to ensure the data ecosystem provides actionable and reliable insights into critical business metrics. Champion Data-Driven Leadership: Mentor other members of the DE and broader data team, particularly around dbt architecture and query performance., Foster a data-first culture that prioritizes excellence, innovation, and collaboration across teams. Influence Organizational Strategy: Act as a technical thought leader, shaping the company's data strategy and influencing cross-functional roadmaps with data-centric solutions. What you will bring: 7+ years in data engineering / architecture, with 2+ years leading EDM/MDM programs and a proven track record of leading high-impact initiatives at scale. Proven ability to create and maintain domain-based enterprise data models (canonical, hub-and-spoke, data-product-oriented). Deep expertise with data-modeling tools (erwin, ER/Studio, PowerDesigner, or equivalent) and modeling techniques (3NF, Dimensional, Data Vault, Anchor). Production experience writing performant Python and PySpark code on distributed compute (Spark 3+, Delta Lake). Strong SQL skills across columnar and relational engines (e.g., Snowflake, Redshift, Databricks SQL, Postgres). Solid grasp of data-governance practices: lineage, glossaries, PII/PHI controls, and data- quality frameworks. Ability to articulate architecture choices to both executive stakeholders and hands-on engineers. Deep experience designing and optimizing real-time and batch ETL pipelines (preferably within dbt), employing best practices for scalability and reliability. Systems thinker who can balance near-term delivery with long-term architecture vision. Comfortable in highly collaborative, agile environments; able to mentor cross-functional teams. Excellent written and verbal communication; able to translate complex data topics into plain language. Bias for automation, documentation, and continuous improvement. Nice-To-Haves: Hands-on with Databricks platform (Unity Catalog, Delta Live Tables, MLflow). dbt Core for transformation, tests, and metadata; dbt Semantic Layer experience is a plus. Exposure to event streaming (Kafka, EventHub) and CDC tools. Experience integrating with commercial MDM suites or building custom match-merge solutions. Familiarity with cloud data-platform services on AWS (Terraform). Background in data-privacy standards (GDPR, CCPA, HIPAA) and differential-privacy or tokenization techniques. Pay & Benefits: The anticipated new hire base salary range for this full-time position is $140,400-$224,250 + equity + benefits. Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate's location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. Your recruiter will provide more details on the specific salary range for your location during the hiring process. At Headspace, base salary is but one component of our Total Rewards package. We're proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process. About Headspace Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that's effective, personalized, and truly accessible whenever and wherever they need it. At Headspace, our values aren't just what we believe, they're how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They're our shared commitment to building a more connected, human-centered team-one that's redefining how mental health care supports people today and for generations to come. Why You'll Love Working Here: A mission that matters-with impact you can see and feel A culture that's collaborative, inclusive, and grounded in our values The chance to shape what mental health care looks like next Competitive pay and benefits that support your whole self How we feel about Diversity, Equity, Inclusion and Belonging: Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. *Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process. Headspace participates in the E-Verify Program . Privacy Statement All member records are protected according to our . Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship-including, for example, a managerial relationship. As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm. For how how we will use the personal information you provide as part of the application process, please see: ****************************************** #LI-Hybrid
    $140.4k-224.3k yearly Auto-Apply 60d+ ago
  • Data Support Consultant - II

    Amnet Services

    Data engineer job in Bernards, NJ

    America Networks is a leading sensor and networking solutions partner for companies in any Industrial, Manufacturing, and Waste management space. We design and manufacture sensors for storage tanks, water metering, energy metering, gas monitoring, and asset management. Our founders are hardcore telecommunications engineers with combined 200 + years of experience in designing, optimizing and performance engineering; for several mid - large wireless carriers internationally - that saw a need to provide low power, cost efficient sensors to collect data, create alerts, and predict needed actions. We have combined these sensors with low power, wide area (LPWA) networking technologies to provide clients various options to decrease re-occurring costs associated with operating an IoT network of sensors and connected devices. We specialize in design, deployment, optimization, and support of these Networks. Whether an off-the-shelf or custom solution is needed, we'll create a solution and push the data on the best cloud platform to fit your needs, including your own. Job Description Basking Ridge-NJ-USA Analytics - Data scientist - As a Data Scientist, you will be working with a team of highly motivated individuals that are setting their goals to create the next big digital experience for Client. If you are passionate about asking questions, and find answers in the data that we have, you will be a good fit for this team. You will play the unique role of driving insights, that will help us build the digital platform for Client's Business Markets. Responsibilities Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance Collaborate with the team to improve the effectiveness of business decisions through the use of data. Build learning systems that monitor data flows and react to changes in customer preferences, network constraints, and business objectives Collaborate with engineers to implement and deploy scalable solutions Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders Use data mining and analytical expertise to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights, which in turn can provide a competitive advantage or address a pressing business problem. Qualifications Minimum BA/BS degree in Statistics, Math, Physics, Computer Science or related quantitative degree. 5+ years of relevant experience. MS/PhD preferred Ability to mine large data sets and looks for valuable insights that drive business outcomes Extensive experience with analytical and quantitative problem solving. Experience with analysis tool(s) such as pandas or R. Fluency with at least one scripting language such as Python. Familiarity with relational databases and SQL. Comfortability working in a Unix environment . Pluses Experience with MapReduce, Hadoop, Hive or similar systems. Specific interest in search engines, recommendation systems, or social networks. Active contributor to open source software. Additional Information Vivek Salvatore vivek.salvatore(@)americanetworks.com **************
    $92k-123k yearly est. 60d+ ago
  • Staff Data Scientist, Personalization & Shopping

    Pinterest 4.6company rating

    Data engineer job in New York, NY

    Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. At Pinterest, Shopping is a strategic initiative that aims to help Pinners take action by surfacing the most relevant content, at the right time, in the best user-friendly way. We do this through a combination of innovative product interfaces, and sophisticated recommendation systems. We are looking for a Staff Data Scientist with experience in machine learning and causal inference to help advance Shopping at Pinterest. In your role you will develop methods and models to explain why certain content is being promoted (or not) for a Pinner. You will work in a highly collaborative and cross-functional environment, and be responsible for partnering with Product Managers and Machine Learning Engineers. You are expected to develop a deep understanding of our recommendation system, and generate insights and robust methodologies to answer the "why". The results of your work will influence our development teams, and drive product innovation. What you'll do: * Ensure that our recommendation systems produce trustworthy, high-quality outputs to maximize our Pinner's shopping experience. * Develop robust frameworks, combining online and offline methods, to comprehensively understand the outputs of our recommendations. * Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners. * Work cross-functionally to build relationships, proactively communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. * Relentlessly focus on impact, whether through influencing product strategy, advancing our north star metrics, or improving a critical process. * Mentor and up-level junior data scientists on the team. What we're looking for: * 7+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data. * Strong interest and experience in recommendation systems and causal inference. * Strong quantitative programming (Python/R) and data manipulation skills (SQL/Spark). * Ability to work independently and drive your own projects. * Excellent written and communication skills, and able to explain learnings to both technical and non-technical partners. * A team player eager to partner with cross-functional partners to quickly turn insights into actions. * Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience. In-Office Requirement Statement: * We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. * This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $164,695-$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
    $104k-140k yearly est. Auto-Apply 59d ago
  • ETL Talend MDM Architect

    TRG 4.6company rating

    Data engineer job in New York, NY

    Responsibilities: • Develop and test Extract, Transformation, and Loading (ETL) modules based on design specifications • Develop and test ETL Mappings in Talend • Plan, test, and deploy ETL mappings, and database code as part of application build process across the enterprise • Provide effective communications with all levels of internal and external customers and staff • Must demonstrate knowledge in the following areas: o Data Integration o Data Architecture o Team Lead experience is a plus • Understand, analyze, assess and recommend ETL environment from technology strategy and operational standpoint • Understand and assess source system data issues and recommend solution from data integration standpoint • Create high level, low level technical design documents for data integration • Design exceptions handling, audit and data resolution processes • Performance tune ETL environment • Conduct proof of concepts • Estimation of work based on functional requirements documents • Identify system deficiencies and recommending solutions • Designing, coding, and writing unit test cases from functional requirements • Delivering efficient and bug-free ETL packages and documentation • Maintenance and support of enterprise ETL jobs • Experience with Talend Hadoop tools is a plus Basic Qualifications: • 3+ years of development experience on Talend ETL tools • 7+ years working with one or more of the following ETL Tools: Talend, Informatica, Ab Initio or Data Stage • 7+ years proficient experience as a developer • Bachelor's Degree in Computer Science or equivalent • Database (Oracle, SQL Server, DB2) • Database Programming (Complex SQL, PL/SQL development knowledge) • Data Modeling • Business Analysis • Top level performer with ability to work independently in short time frames • Proficient working in a Linux environment • Experience in scripting languages (Shell, Python or Perl) • 5+ years of experience deploying large scale projects ETL projects that • 3+ years of experience in a development lead position • Data analysis, data mapping, data loading, and data validation • Understand reusability, parameterization, workflow design, etc. • Thorough understanding of Entire life cycle of Software and various Software Engineering Methodologies • Performance tuning of interfaces that extract, transform and load tens of millions of records • Knowledge of Hadoop ecosystem technologies is a plus Additional Information If you are comfortable with the position and location then please revert me back at the earliest with your updated resume and following details or I would really appreciate if you can call me back on my number. Full Name: Email: Skype id: Contact Nos.: Current Location: Open to relocate: Start Availability: Work Permit: Flexible time for INTERVIEW: Current Company: Current Rate: Expected Rate: Total IT Experience [Years]: Total US Experience [Years]: Key Skill Set: Best time to call: In case you are not interested, I will be very grateful if you can pass this position to your colleagues or friends who might be interested. All your information will be kept confidential according to EEO guidelines.
    $100k-125k yearly est. 60d+ ago

Learn more about data engineer jobs

How much does a data engineer earn in Old Bridge, NJ?

The average data engineer in Old Bridge, NJ earns between $71,000 and $128,000 annually. This compares to the national average data engineer range of $80,000 to $149,000.

Average data engineer salary in Old Bridge, NJ

$96,000

What are the biggest employers of Data Engineers in Old Bridge, NJ?

The biggest employers of Data Engineers in Old Bridge, NJ are:
  1. Ernst & Young
  2. Johnson & Johnson
  3. Orion Innovation
  4. 8427-Janssen Cilag Manufacturing Legal Entity
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