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Open nowPosted 126 days ago

Data Engineer

David Yurman23 open roles

Where
New York, NY
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Your applicationOpen nowData EngineerDavid Yurman · New York, NY
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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. David Yurman postings stay open a median of 2 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: posted 126 days ago

David Yurman median: 2 days open

The posting

About Us

David Yurman is a celebrated American jewelry company founded in New York by David Yurman, a sculptor, and his wife, Sybil, a painter and ceramicist. When the artists began collaborating, their goal was simply to make beautiful objects to wear. Led today by their son Evan, David Yurman creates timeless, yet contemporary collections for women and men defined by inspiration, innovation, consummate craftsmanship and cable – the brand’s artistic signature. David Yurman collections are available at retail stores throughout the United States, Canada, Hong Kong and France and at locations worldwide, through their exclusive authorized fine jewelry and timepiece network of retailers.

Our Values

At David Yurman, creativity, innovation and impeccable craftsmanship are at the core of everything we do. Fueled by the energy of our hometown, New York City, artistic passion informs each and every jewelry design. The Yurman family’s guiding vision continually defines and redefines what it means to be the preeminent American luxury jewelry brand. We are committed to responsible business and social practices and to the protection and advancement of human rights. We believe in partnering with others who share these values and understand their importance.

Job Description

Position Overview

The Data Management & Engineering (DME) team at David Yurman (DY) is responsible to design & implement state of the art data & analytics solutions. We are looking for a dynamic Data Engineer to design and build data integration solutions to support DY’s modernization efforts. This is a hybrid position with location in New York.

The DME team is in a formation state, and this is an exciting time to join and grow with an organization which is rapidly growing for the past 3 years.

What You’ll Build

  • Understand business needs and develop multiple solutions to meet the needs
  • Serverless data pipelines using AWS Services to move and transform data at scale
  • Event-driven architectures for decoupled, reliable data flows
  • Real-time integrations between systems and databases through standardized enterprise integrations frameworks
  • Self-service analytics solutions that empower business users to access data across multiple
  • source systems
  • CI/CD pipelines using Terraform and GitHub Actions to deploy infrastructure across multiple
  • environments

Responsibilities

Pipeline Engineering:

  • Design and build production-grade data pipelines using AWS serverless technologies with proper error handling, retry logic, and observability
  • Implement data warehousing patterns for historical tracking and compliance requirements
  • Build incremental data processing workflows with change data capture (CDC) and idempotent
  • designs
  • Create multi-stage orchestration workflows with parallel execution capabilities
  • Develop appropriate test scripts and test the code before promoting to production.

Integration Development:

  • Connect multiple enterprise systems (ERP, CRM, e-commerce platforms, 3rd-party APIs) with
  • each other and to cloud data warehouse
  • Build event-driven data flows using AWS messaging and streaming services
  • Design RESTful APIs for real-time data access with proper authentication and authorization
  • Develop integrations across retail, supply chain, and financial systems

Infrastructure & DevOps:

  • Write Infrastructure as Code using Terraform to manage all cloud resources
  • Build multi-environment deployment pipelines with automated testing and validation
  • Implement monitoring and alerting for pipeline health, data quality, and SLA compliance
  • Optimize cloud costs through serverless architecture patterns and right-sizing
  • Define security guardrails within data integrations

Qualifications

  • Minimum 5-7 years of experience in designing, building, and supporting data integrations and pipeline orchestrations using AWS technologies such as AWS Lambda, Step Function, Fargate, Glue etc.
  • 5+ years’ experience with Snowflake a must have
  • 3+ years’ experience with programming languages – SQL, Python
  • Familiarity with retail as a business a nice to have
  • Familiarity with Oracle Integration Cloud (OIC) or other integration platform a plus.
  • Familiarity with reporting tools such as Sigma a huge plus.
  • Familiarity with Salesforce ecosystem preferred (SFCC, SFSC, SFMC)
  • Strong written and verbal communication skills

Education

  • Master’s degree in computer science or bachelor’s degree with equivalent work experience
  • Snowflake / salesforce certifications desirable

Location: Tribeca, NYC (Hybrid Monday-Friday)

Estimated Base Salary: $140,000-150,000

Base pay is one component of David Yurman’s total compensation package, which may also include the following for eligible employees: access to healthcare benefits, 401(k) plan, bonus, employee discounts, Summer Fridays (corporate roles), generous paid time off, sick time, and mor

Diversity, Equity & Inclusion at David Yurman

As a company founded by artists, David Yurman champions self-expression in everything we do. We are committed to fostering a culture of openness and creative collaboration within our entire community, and we cherish the diversity of our employees’ backgrounds and perspectives. We will always advocate for equity and inclusion for all.

David Yurman is an Equal Employment Opportunity employer and provides equal opportunities to all employees and applicants without regard to an individual’s age, race, creed, color, religion, national origin, sex (including pregnancy, sexual orientation, gender).

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