Overview:Gopuff is seeking a Data Platform Engineering Manager to lead its Data Platform team. This individual will play a major role in shaping the team’s technical direction, leading the team that enables analytics, data science, and machine learning at scale. The candidate will bring strong data and cloud engineering expertise and leadership to influence Gopuff-wide data platforms and architecture. This position will involve a combination of hands-on engineering and people management. The ideal candidate will be an experienced engineering leader with an interest in both the technical and product management aspects of data engineering.This role is remote for NYC candidates. There is ability to go onsite if interested. You Will:<ul><li>Lead and mentor a team of Data Platform Engineers to develop Gopuff’s central data platform, fostering a collaborative and innovative team culture.</li><li>Drive continuous improvement within the team by developing practices around professional development, performance management, and hiring.</li><li>Provide clear technical direction and support for the team, ensuring the successful execution of data platform projects and initiatives.</li><li>Collaborate with engineering and product leadership to translate business requirements into effective technical solutions.</li><li>Develop and promote best practices for data collection, storage, and processing that impact the company-wide data strategy across Gopuff’s data lake and warehouse.</li><li>Architect and implement large-scale data platforms that enable analytics, data science, and machine learning in a multi-cloud environment.</li><li>Partner with software and analytics engineering teams to establish data contracts and improve data quality at every stage of the data lifecycle.</li><li>Manage project timelines, resource allocation, and team performance, ensuring that deliverables are met on schedule and within scope.</li></ul>You Have:<ul><li>5+ years of experience in a data engineering or cloud/infrastructure engineering role.</li><li>3+ years of engineering management experience.</li><li>Experience collaborating with functional stakeholders and establishing a roadmap that aligns with business priorities.</li><li>Experience with organizational design, team development, hiring, and performance management.</li><li>Experience building batch data pipelines using DAG-based tools such as Dagster or Airflow.</li><li>Experience deploying applications and services to Kubernetes and using related tools in the Kubernetes ecosystem (i.e. Helm, ArgoCD, Istio).</li><li>Experience implementing DevOps best practices within the data platform, including solutions for CI/CD, data observability, monitoring, and lineage.</li><li>Experience in producing and consuming topics to/from Apache Kafka, AWS Kinesis, or Azure Event Hubs.</li><li>Experience with Infrastructure as code tools such as Terraform.</li><li>Experience developing real-time data pipelines using frameworks such as Apache Beam, Flink, Storm, Spark Streaming, etc.</li><li>Experience with data warehouses, data lakes, and their underlying infrastructure.</li><li>Proficiency in Python, SQL, RESTful API development.</li><li>Experience with cloud computing platforms such as Azure, AWS.</li><li>Experience with data governance, schema design, and schema evolution.</li></ul>Compensation:<ul><li>Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role.</li><li>NYC Salary Range: $160,000 - $180,000</li></ul> At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.Like what you’re hearing? Then join us on Team Blue.Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.
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Overview: Gopuff is seeking a Data Platform Engineering Manager to lead its Data Platform team. This individual will play a major role in shaping the team’s technical direction, leading the team that enables analytics, data science, and machine learning at scale. The candidate will bring strong data and cloud engineering expertise and leadership to influence Gopuff-wide data platforms and architecture. This position will involve a combination of hands-on engineering and people management. The ideal candidate will be an experienced engineering leader with an interest in both the technical and product management aspects of data engineering. This role is remote for NYC candidates. There is ability to go onsite if interested. You Will: <ul><li>Lead and mentor a team of Data Platform Engineers to develop Gopuff’s central data platform, fostering a collaborative and innovative team culture.</li> <li>Drive continuous improvement within the team by developing practices around professional development, performance management, and hiring.</li> <li>Provide clear technical direction and support for the team, ensuring the successful execution of data platform projects and initiatives.</li> <li>Collaborate with engineering and product leadership to translate business requirements into effective technical solutions.</li> <li>Develop and promote best practices for data collection, storage, and processing that impact the company-wide data strategy across Gopuff’s data lake and warehouse.</li> <li>Architect and implement large-scale data platforms that enable analytics, data science, and machine learning in a multi-cloud environment.</li> <li>Partner with software and analytics engineering teams to establish data contracts and improve data quality at every stage of the data lifecycle.</li> <li>Manage project timelines, resource allocation, and team performance, ensuring that deliverables are met on schedule and within scope.</li></ul> You Have: <ul><li>5+ years of experience in a data engineering or cloud/infrastructure engineering role.</li> <li>3+ years of engineering management experience.</li> <li>Experience collaborating with functional stakeholders and establishing a roadmap that aligns with business priorities.</li> <li>Experience with organizational design, team development, hiring, and performance management.</li> <li>Experience building batch data pipelines using DAG-based tools such as Dagster or Airflow.</li> <li>Experience deploying applications and services to Kubernetes and using related tools in the Kubernetes ecosystem (i.e. Helm, ArgoCD, Istio).</li> <li>Experience implementing DevOps best practices within the data platform, including solutions for CI/CD, data observability, monitoring, and lineage.</li> <li>Experience in producing and consuming topics to/from Apache Kafka, AWS Kinesis, or Azure Event Hubs.</li> <li>Experience with Infrastructure as code tools such as Terraform.</li> <li>Experience developing real-time data pipelines using frameworks such as Apache Beam, Flink, Storm, Spark Streaming, etc.</li> <li>Experience with data warehouses, data lakes, and their underlying infrastructure.</li> <li>Proficiency in Python, SQL, RESTful API development.</li> <li>Experience with cloud computing platforms such as Azure, AWS.</li> <li>Experience with data governance, schema design, and schema evolution.</li></ul> Compensation: <ul><li>Gopuff pays employees based on market pricing, and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role.</li> <li>NYC Salary Range: $160,000 - $180,000.</li></ul> At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes. And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world. Like what you’re hearing? Then join us on Team Blue. Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.
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Center 1 (19052), United States of America, McLean, Virginia<h3>Sr Lead Data Platform Engineer, Shopping (Remote-Eligible)</h3>Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.<h3>What You’ll Do:</h3><ol><li>Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.</li><li>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code.</li><li>Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.</li><li>Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.</li></ol><h3>Basic Qualifications:</h3><ol><li>Bachelor’s Degree.</li><li>At least 8 years of experience in software engineering (Internship experience does not apply).</li><li>At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud).</li></ol><h3>Preferred Qualifications:</h3><ol><li>Master’s Degree.</li><li>9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go.</li><li>4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service.</li><li>4+ years of experience in open source frameworks.</li><li>2+ years of experience in Agile practice.</li><li>Experience with the development and use of real-time computing engines such as Kafka, Clickhouse, Hive, Flink, HBase, or ES.</li></ol>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Software Engineer.Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a href="#">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="#">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a href="#">Careers@capitalone.com</a>.
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Description & Requirements Bloomberg's Evaluated Pricing service, BVAL, supplies independent and transparent evaluated pricing daily for over 2.5 million securities across all fixed income asset classes, including thinly-traded and hard-to-price fixed income securities. Our customers rely on us to understand markets and analyze complex structures which allow them to make thoughtful investment decisions, which ultimately builds more value for you, the investor. The value of retirement accounts, pension funds, etc, are measured against our data. Our mission is to drive greater transparency, liquidity and safety in global fixed income markets. To produce this pricing data, we absorb billions of data points from hundreds of financial markets every day using highly scalable and fault tolerant streaming technology (think Kafka, Redis, Argo, Flink, Hadoop). We pipe this data through pricing algorithms which employ quantitative and machine learning techniques derived by working closely with market experts. This process produces the high quality pricing that the market and our customers need. We also develop applications that provide intelligent analytics and transparency into these prices. How we give back: This team will make extensive use of open source software. As part of that, we make a commitment to upstreaming features we'll be developing. Whether pushing bug-fixes upstream, developing new features, giving presentations at conferences and meetups, or collaborating with industry leaders, open source will be at the heart of this team. It's not just something we do in our free time, it is how we work. What's in it for you: You will help the platform grow by bringing on new datasets and enhancing tooling for onboarding new datasets quickly. You'll be able to apply your existing knowledge while gaining experience from working with specialists in stream processing, data lake technologies, query engines and more. You'll help achieve the vision of the team 'Accelerate usage of data within Fixed Income Pricing`. We'll trust you to: <ul> <li>Design and implement new features and tools following software development best practices</li> <li> Work with team members and other engineering teams to design scalable and robust systems</li> <li> Proactively recommend and contribute improvements to the platform</li> <li>Work with a variety of technologies to develop innovative solutions</li> </ul>You'll need to have:<ul><li> 4+ years working with an object-oriented programming language (C/C++, Python, Java, etc.)</li> <li> A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience</li> <li> Experience working with any Big Data technologies from storing of data at large scale, to processing of data at large scale.</li> <li> Strong software development skills and ability to quickly learn</li> </ul>We would love to see experience with or passion for:<ul><li> Experience with Big data streaming technologies like Spark, Flink etc.</li> <li> Experience with Lake house technologies like Iceberg, Delta Lake, Hudi etc.</li> <li> Experience with Data governance, Data Observability & Distributed systems </li> </ul>Check out some of Fixed Income Pricing's content:<ul><li> A walkthrough of the FI Pricing Organization - https://mediaspace.blpvideohub.com/playlist/dedicated/515/0_u18tu5tl/0_llibwm5h </li> <li> The FI Pricing Documentation Hub - http://bburl/fipricingdoc </li> <li> The FI Pricing ELRN Channel https://mediaspace.blpvideohub.com/channel/FI+Pricing/515 </li> </ul> If interested, please apply! To learn more, please contact {FON Shalin Shah} directly or our Internal Mobility Partner, {FON Isaac Moran}. Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation, [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

Overview: This job will be encouraged to be in NY however would be acceptable to work at one of the hub locations for digital commerce as well. This includes the offices in Palo Alto and Oakland California as well as Plano, Texas Build Data Foundations That Drive Innovation Our team at PepsiCo Digital Commerce works with the most cutting-edge technology and builds our own tech-stack from scratch. This is where youll see your work come to life, as a member of a small, agile, highly-skilled team that ushers global projects through from conceptualization to implementation. Weve been laser focused on winning in the marketplace, developing and executing direct-to-consumer experiences like PantryShop.com and Snacks.com in less than 30 days. At PepsiCo, we leverage a combination of technology, insights, resources and inventory to quickly meet consumers' evolving needs, with $3 billion in retail sales and growing. With a team of more than 250 associates and offices in Manhattan, Chicago, Plano, and Silicon Valley, were unleashing the full potential of automation, data science, and machine learning to challenge the way snacks and beverages are sold every day. Responsibilities: We're looking for a hands-on engineering manager to join our growing ecommerce team. Youll have a once-in-a-generation opportunity to influence the biggest players in online grocery and build the data foundation driving one of the world leaders in consumer-packaged goods. In this role you will have several distinct responsibilities and priorities: <ul> <li>Scaling the Data Platform to 700+ pipelines across AWS and Azure </li><li>Collaborate on cross-team Data Platform initiatives, like Data Mesh and support international expansion </li><li>Build tools and libraries that ease new pipeline development and reduce delivery time </li><li>Work towards increasing the robustness and fault tolerance on platform processing large amount of data </li><li>Implement best practices and design patterns for different data solutions. </li><li>Build mechanisms to implement metrics that measure data quality and reliability </li><li>Define tools and techniques to improve overall data observability and discoverability </li><li>Bring innovative thinking to solve day-to-day problems faced by data teams. </li></ul> Compensation and Benefits: <ul> <li>The expected compensation range for this position is between $84,000 - $170,800 based on a full-time schedule. </li><li>Location, confirmed job-related skills and experience will be considered in setting actual starting salary. </li><li>A business development incentive equity may be awarded based on eligibility and performance. </li><li>Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. </li><li>In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. </li></ul>Qualifications: <ul> <li>Bachelors degree in computer science, a related technical field, or equivalent experience </li><li>3+ years of experience designing and implementing data intensive systems and applications </li><li>3+ years of experience creating scalable dimensional data models </li><li>3+ years of experience creating and maintaining data pipelines using Airflow, dbt, etc </li><li>2+ years of experience using Snowflake </li><li>Expert level knowledge of SQL </li><li>Expert level knowledge of Python </li><li>Experience with designing and implementing processes to measure and improve data quality </li><li>Experience designing, building and maintaining data processing systems </li><li>Working knowledge of how large-scale data is typically used in Machine Learning and Business Intelligence initiatives </li></ul> >: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy. Please view our Pay Transparency Statement

About Figure Markets Figure Markets is democratizing finance through blockchain. We're building the exchange for everything - a decentralized custody marketplace for crypto, stocks, bonds, credit and more. We're bringing best in class leverage, margining and liquidity to our exchange, while offering our members extensive borrowing options and unique investment opportunities. Figure Markets is built on the Provenance Blockchain, and we use its native token, Hash, on the exchange. Provenance Blockchain embodies truth over trust and provides a foundation for Figure Markets to bring transparency and efficiency in a decentralized world. Figure Markets is backed by leading venture capital firms and strategic partners, including Jump Crypto, Pantera, Distributed Global, Faction Lightspeed, NewForm Capital and CMT Digital. Figure Markets was founded by a seasoned team of entrepreneurs and operators from tradfi, fintech and defi, including Mike Cagney and June Ou. About the Role We're looking for an experienced and independent data platform engineer to design and build our data architecture. As part of our Engineering team, you'll work closely with various business functions to understand Figure Markets' analytic, data science, and reporting needs and to develop data products that address those needs. You will be contributing to data engineering's vision and development from day one, and, as an early member of the team, you'll get to shape the data architecture that will drive a fast-growing business. What You'll Do <ul> <li>Leverage Spark, Airflow, Apache Beam, Google Kubernetes Engine, BigQuery and other tools to build robust and efficient data pipelines. </li><li>Expand and optimize our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. </li><li>Collaborate with project leads and other software engineers across multiple teams. </li><li>Be a leader, use your voice, and apply your tech skills to solve real world problems. </li></ul>What We Look For <ul> <li>BS degree in Computer Science or related technical field, or equivalent practical experience. </li><li>6+ years of proven working experience as a data engineer </li><li>5+ years writing production-quality Python. </li><li>3+ years' experience with Spark, either in Python or in Scala. Bonus points for Spark on EMR, Dataproc, or Kubernetes. </li><li>Working knowledge of Google Cloud tools (compute, cloud storage, GKE, GCR, AutoML, etc.) </li> <li>Expertise building and optimizing data pipelines using Kafka (preferred), Kinesis, or other event bus. </li><li>Deep experience with data frameworks and tools like Spark, Spark Streaming, Apache Beam, and Airflow. </li><li>Comfort with and experience working within CI/CD processes and tools and software development practices. </li><li>Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of SQL and NoSQL databases, including BigQuery (preferable), MySQL/MariaDB, Postgres or Cassandra. </li><li>Expertise in data modeling for data science, reporting, and analytics, including dimensional and transactional models. </li> <li>Ability to thrive in a fast-paced growing company. </li></ul>Benefits and Perks <ul> <li>Competitive salary and growth opportunities </li> <li>Company quarterly performance based bonus </li><li>Equity stock options package </li><li>Employer funded comprehensive health, vision, dental insurance and wellness program for employees and their dependents </li><li>Employer funded life and disability insurance coverage </li><li>Company HSA, FSA, Dependent Care, 401k, and commuter benefits </li><li>Up to 12 weeks paid family leave </li> <li>In office, remote, and hybrid work location options </li><li>Home office and technology stipend for those working outside of a traditional office more than 75% of the time </li><li>Flexible time-off plan to empower employees to take the time off that they want and need </li><li>Continuing education reimbursement </li><li>Routine Team swag deliveries! </li></ul> For CO, NY, CA and WA residents, the salary range for this position is $102,960 to $128,700/year with a 25% Bonus Target and Equity. Actual compensation may vary based on individual candidate experience and location. Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Data Platform Engineer SaaS $180,000 - $200,000 + Equity New York, NY (three days in office) Are you a dynamic Data Engineer and want to work for one of the most innovative AI + Construction companies in the United States? If you are a senior individual contributor in the domain and can ultimately contribute cross-functionally to an all-inclusive environment, then this might be the best career move for you! THE ROLE- Data Platform Engineer As a Data Platform Engineer, you will be responsible for designing, developing, and maintaining the infrastructure that supports our client's machine learning and data-driven solutions. You'll ensure the smooth orchestration of data flow across various sources, including industry storage platforms and external APIs while implementing data quality checks and monitoring the health of the pipelines. Additionally, you will collaborate closely with the machine learning team to enhance the efficiency of the data pipelines, making a direct impact on optimizing their solutions for the construction industry. KEY RESPONSIBILITIES: <ul> <li>Design, develop, and maintain a robust data pipeline infrastructure </li><li>Orchestrate data flow through various stages of processing </li><li>Ensure pipeline observability and monitor health </li><li>Integrate data from industry storage platforms, project management tools, and external APIs </li><li>Implement data quality checks and error-handling mechanisms </li><li>Collaborate with the machine learning team to enhance pipeline efficiency </li></ul>YOUR SKILLS AND EXPERIENCE: <ul> <li>BS/MS in Computer Science, Information Systems, or a related field </li><li>Ample experience in ETL development and data engineering </li><li>Proficient in Python, SQL, and NoSQL databases </li><li>Experience with pipeline orchestration tools (e.g., Prefect), infrastructure-as-code (e.g., Terraform), and observability/monitoring tools </li><li>Knowledge of serverless architectures (e.g., AWS Lambda) </li><li>Familiarity with ML workflows </li><li>Knowledge of data modeling and warehouse concepts </li><li>Startup experience is strongly preferred </li></ul> BENEFITS - Data Platform Engineer As a Data Platform Engineer, you can expect to earn up to $200,000 (depending on experience), Equity, and highly competitive benefits HOW TO APPLY?: Please register your interest by sending your Resume to Greffen George via the Apply link on this page KEYWORDS: Data, Platform, Engineer, Engineering, Infrastructure, Python, SQL, NoSQL, Pipeline, Orchestration, Architecture, ML, Machine Learning, Workflows, Modeling, Warehousing, API

Data Platform Engineer Jobs in New York, NY

Data Platform Engineering Manager
December 11, 2024

Data Platform Engineering Manager
December 8, 2024

Sr Lead Data Platform Engineer Shopping Remoteeligible
December 7, 2024

Data Platform Engineer Fi Pricing Data Team
December 6, 2024

Digital Commerce Data Platform Engineer
December 6, 2024

Data Platform Engineer
December 3, 2024

Data Platform Engineer
December 1, 2024

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Data Platform Engineer Jobs in New York, NY

Data Platform Engineering ManagerDecember 11, 2024

Data Platform Engineering ManagerDecember 8, 2024

Sr Lead Data Platform Engineer Shopping RemoteeligibleDecember 7, 2024

Data Platform Engineer Fi Pricing Data TeamDecember 6, 2024

Digital Commerce Data Platform EngineerDecember 6, 2024

Data Platform EngineerDecember 3, 2024

Data Platform EngineerDecember 1, 2024