10 Exchange Place, Jersey City

Job Overview:

Nuts.com is a self-funded, profitable, rapidly growing multi-channel DTC specialty food and wellness company with over 550 people on our team. We're changing the landscape of snacking on nuts, dried fruit, chocolate and more! We planted our roots in Newark, New Jersey during the Great Depression, selling premium nuts on Mulberry Street's open-air market. We've come quite a long way since then, taking our multi-generational family business online in 1999. Even after 95 years, we continue to pride ourselves in expertly sourcing the highest quality foods and treating our customers like family.

What's our team like? We're driven, collaborative and entrepreneurial. Energy and passion power our business and we look for candidates who share in that excitement to help us continue to build something special.

The role:

At Nuts.com, we love our customers, and we love data that tells their story.  And while we’re happy to say that we have a lot of both, we need help bringing it together, managing it, and making it useful -- to us and to our customers. This is where you come in: we’re building our business on this foundation of data, and you’ll make sure it’s a stable one.  

As a leader of our data engineering team, you’ll help define the foundation that is critical for analyzing everything from heavy, cross-channel analysis of media interaction logs to optimizing Paid Media to distilling purchase data down to understanding our customers better to evaluating our warehouse and sourcing data to improve our operational efficiency. You will help us think of innovative ways to improve our data systems to help the business make decisions and make it even more enjoyable and valuable to shop with us.  

We have thousands of items, data-driven fulfillment centers, a robust order management system, an exhaustive tagging footprint, a growing number of media outlets, and happy, engaged customers... If you’re already imagining all the cool stuff we’ll be able to build with that, then we should talk.

What you’ll do:

  • As a Director of Data Engineering, you will be instrumental in driving innovation, ensuring data quality, and fostering collaboration across teams to harness the power of data for informed decision-making
  • Collaborate with the Business Intelligence team as well as Operators, Merchants, Marketers, Department heads, etc. to define use cases, solutions, cross-functional projects, and priorities
  • Own end-to-end implementation for complex analytics solutions throughout the company, which could include reporting, simulations, custom tooling, and models
  • Maintain a holistic vision of the organization, its data, and its customers enough to recognize and even anticipate their data needs
  • Be the champion for data from a technical perspective across the entire organization
  • Provide technical leadership in data architecture, ensuring best practices for data modeling, storage, and retrieval
  • Maintain and improve the reporting infrastructure (Looker, Databricks and AWS Redshift) throughout the organization, maximizing the usability and adoption throughout the organization
  • Design efficient data pipelines that can scale with the business
  • Gather, transform, clean, and secure data from many sophisticated, state-of-the-art sources and destinations ensuring data quality, integrity and compliance with industry standards
  • Drive the adoption of advanced analytics techniques and technologies to unlock insights from large datasets
  • Mentor, lead and train other members of the data engineering team
  • Stay current with emerging trends and technologies in the data engineering field, incorporating them into the organization's data strategy
  • Respectfully and energetically express your thoughts and data philosophy to non-technical SMEs, backing up clear reasoning behind all tool & infrastructure decisions/proposals
  • Establish and enforce data security and privacy protocols to safeguard sensitive information
  • Drive the adoption of agile methodologies and DevOps practices to ensure efficient and high-quality data engineering processes

What you'll bring:

  • BA/B.Sc. in Computer Science, Statistics, Math's or equivalent
  • 8+ years of experience in data engineering or full-stack quantitative analytics/data science roles
  • Proven track record of mentorship, leadership, and ownership within teams and organizations
  • Proficiency in programming languages such as SQL and Python in an analytics context
  • Experience with data pipelines, dimensional modeling, and dependency management
  • Experience working with data SaaS and BI tooling (Fivetran, Looker, Databricks, etc.)
  • Experience developing and managing a Looker instance
  • Experience automating data integration using APIs
  • Experience transforming open-ended objectives into well-defined requirements and delivering analytics solutions for multiple teams
  • Deep knowledge of analytics technologies, modeling techniques, data warehousing concepts, cloud platforms (AWS preferred) and frameworks, and proven experience with data architecture
  • Curiosity and creativity, with sound judgment and a high degree of both integrity and empathy
  • Ability to create strategies and plans that define how information can be utilized to support an organization's overall business strategy, and how that information and data is organized, and governed inside an organization
  • Experience with agile methodologies, DevOps practices, and CI/CD pipelines
  • Communication and leadership experience, with experience initiating and driving projects
  • Effective written and verbal communication of data-driven solutions across all levels of the organization
  • Significant experience in consumer, retail or ecommerce organization

**We have a hybrid work environment in our beautiful and state of the art office in Jersey City**

What we offer

  • A high-growth and rewarding role in a foundationally strong and rapidly evolving business
  • Annual Salary Range: $190,000 - $225,000 plus annual bonus
  • Excellent benefits including a 401K Match
  • Paid Maternity, Adoption and Paternity leave
  • And all the Nuts.com snacks your heart desires + a 40% employee discount

Base salaries may vary based on factors such as skills, experience and qualifications for the role. Base pay is only part of the total compensation package, which, depending on the position, may also include short & long term incentive compensation. In addition, employees are eligible for our standard benefits package including paid time off, medical, dental and 401K match.

EEO STATEMENT

Nuts.com is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.

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