דרושים City Engineer ב-United States, New York, New York

As a Product Manager, you know what it takes to design, develop and drive the adoption of great digital products and services.

Your key responsibilities

Working with strategists, designers, developers and other key stakeholders, you will be responsible for concepting, designing, and developing digital products and services that address a market opportunity.

You will create personas, conduct product research to inform concepts and new features, design products, and develop the corresponding user stories and requirements. You will manage the product backlog, work day-to-day with the engineering teams to clarify requirements and recommend alternative approaches to meeting business requirements when necessary.

You will conduct ongoing experimentation and evaluate user feedback, usage of the product and key metrics, with an eye toward continuously improving the product and user experience.You also will drive ongoing market and user research to shape the longer-term product strategy and product roadmap.

Skills and attributes for success

To qualify for the role you must have

• Bachelor’s degree in a relevant discipline
• 5+ years of solid product management experience
• Obsessive attention to detail and organizational skills
• Ability to learn quickly, and execute independently with minimal guidance
• Excellent oral, written, and visual communication and presentation skills

• Passion for creating products and experiences that resonate with users and demonstrate strong adoption

• Proven track record of success launching and iterating customer-facing digital products
• Ability to synthesize input and insights from multiple sources and prioritize accordingly
• Experience working in Agile, with generative AI, on mobile product development, and on customer-facing digital products
• Some technical knowledge from formal education or practical experience

Ideally, you will have

• Demonstrated continuous learning and exploration of emergent technologies and methods
• A relentless mindset for problem solving and originating new solutions

What we look for

• Strong experience in managing developer teams – whether they are in-house or outsourced
• The ability to stay agile, resolve business challenges efficiently, and ensure high-quality results without getting bogged down in the process
• Proactive individuals who can engage and energize their teams, peers and stakeholders

Technology – Data and Decision Science – Data Engineering – Manager

In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include:

• Understanding and analyzing business requirements to translate them into technical requirements.
• Designing, building, and operating scalable data architecture and modeling solutions.
• Staying up to date with the latest trends and emerging technologies to maintain a competitive edge.

Key Responsibilities:

As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including:

• Leading workstream delivery and ensuring quality in all processes.
• Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.
• Implementing resource plans and budgets while managing engagement economics.

This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs.

Skills and attributes for success:

To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact:

• Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
• Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices.
• Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
• Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value.
• Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance.
• Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services.
• Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress.
• Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.
• Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics.
• Strong analytical and problem-solving abilities.
• Excellent communication skills, with the ability to convey complex information clearly.
• Proven experience in managing and delivering projects effectively.
• Ability to build and manage relationships with clients and stakeholders.

To qualify for the role, you must have:

• Bachelor’s degree in computer science, Engineering, or a related field required; Master’s degree preferred.
• Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics.
• Proven expertise in Databricks and experience with Spark for big data processing.
• Strong background in data architecture and design, with experience in building complex cloud analytics solutions.
• Experience in leading and managing teams, with a focus on mentoring and developing talent.
• Strong programming skills in languages such as Python, Scala, or SQL.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication and interpersonal skills, with a focus on client management.

Required Expertise for Managerial Role:

• Strategic Leadership: Ability to align data engineering initiatives with organizational goals and drive strategic vision.
• Project Management: Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope.
• Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively.
• Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption.
• Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies.
• Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes.
• Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.

Large-Scale Implementation Programs:

1. Enterprise Data Lake Implementation: Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities.
2. Real-Time Analytics Platform: Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing.
3. Data Warehouse Modernization: Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting.

Ideally, you’ll also have:

• Experience with advanced data analytics tools and techniques.
• Familiarity with machine learning concepts and applications.
• Knowledge of industry trends and best practices in data engineering.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
• Knowledge of data governance and compliance standards.
• Experience with machine learning frameworks and tools.

Technology – Data and Decision Science – Data Engineering – Senior

In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle.

Your key responsibilities

As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including:

• Designing, building, and operating scalable on-premises or cloud data architecture.
• Analyzing business requirements and translating them into technical specifications.
• Optimizing data flows for target data platform designs.
• Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
• Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives.
• Lead end-to-end data pipeline development, including data ingestion, transformation, and storage.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Provide technical guidance and mentorship to junior data engineers and team members.
• Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts.
• Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.
• Stay updated with the latest trends and technologies in data engineering and cloud computing.

This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients.

Skills and attributes for success

To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for:

• Strong analytical and decision-making skills.
• Proficiency in cloud computing and data architecture design.
• Experience in data integration and security.
• Ability to manage complex problem-solving scenarios.

To qualify for the role, you must have

• A Bachelor’s degree in Computer Science, Engineering, or a related field required (4-year degree). Master’s degree preferred
• Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions.

• 5+ years of experience in data engineering, with a focus on cloud data solutions.
• Expertise in Databricks and experience with Spark for big data processing.
• Proven experience in at least two end-to-end data engineering implementations, including:

• Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence.

• Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making.

• Strong programming skills in languages such as Python, Scala, or SQL.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication and interpersonal skills, with a focus on client management.

Required Expertise for Senior Consulting Projects:

• Strategic Thinking: Ability to align data engineering solutions with business strategies and objectives.
• Project Management: Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope.
• Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively.
• Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption.
• Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies.
• Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes.
• Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.

Ideally, you’ll also have

• Experience with data quality management.
• Familiarity with semantic layers in data architecture.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
• Knowledge of data governance and compliance standards.
• Experience with machine learning frameworks and tools.

Your responsibilities will include:

• Develop quarterly plans designed to achieve revenue targets
• Possess clinical excellence in respective disease states
• Build sustainable business relationships
• Drive sales revenue to exceed division priorities
• Define and develop new business opportunities that clearly reflect the company's vision and priorities
• Build and maintain sustainable strategic relationships in key accounts
• Stay current on BSC products / programs / competitive knowledge
• Commit to building trusting relationships with key physicians and nurses by training, educating, and selling them on our innovative technologies
• Uphold all the quality policies outlined within sales structure consistently and completely
• Demonstrate a primary commitment to patient safety and product quality
• Understand and comply with all regulations governing our work and comply 100% of the time with all BSC corporate policy and procedure initiatives

Required Qualifications:

• Bachelor's degree
• Minimum of 3+ years of relevant business experience
• Minimum of 3+ years of direct sales experience
• Documented sales success, falling within the top 10% performance in critical competencies
• Experience working in a fast-paced, complex work environment

Preferred Qualifications:

• Advanced degree
• Strong written and verbal communication skills
• Experience within the industry
• Sales management experience strongly preferred
• Field sales experience at Boston Scientific

Initial minimum compensation for this position is anticipated to start at $113,360.00 inclusive of annualized base salary, certain guarantees, and other non-discretionary performance-based incentives. Actual compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, and other relevant business considerations or organizational needs. Core and optional benefits offered at BSC can be reviewed at

It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.

Among other requirements, Boston Scientific maintains specific prohibited substance testing requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a drug test as a pre-employment requirement. The goal of the drug testing is to increase workplace safety in compliance with the applicable law.