Our purpose is to positively impact people’s lives every day in every home around the world! We work very hard to provide our consumers with high-quality, exciting 5-star products that make life easier. We thrive on passion and innovation and are looking for great people, with great ideas, who want to build the next big thing and develop while they do.
Remote US
The Lead Analytics Engineer will be responsible for spearheading the development and optimization of our data analytics frameworks and infrastructure. This role requires a deep understanding of DBT, Snowflake, and advanced SQL, along with expertise in ETL methodologies and orchestration tools such as Airflow and Dagster. The ideal candidate will also have a working knowledge of Python. As lead engineer, you will lead the development across one of 3 organization pillars (finance, ops or revenue). You will partner closely with the leads of each pillar to drive consistency and reusability of warehouse objects.
- Mentor members of the analytics engineering team, providing technical guidance, and support on code and projects.
- Foster a collaborative and innovative team environment, encouraging professional growth and development.
- Define and execute the analytics engineering strategy, aligning with organizational goals and business needs.
- Identify opportunities for process improvements and implement best practices in data analytics and engineering.
- Oversee the design, development, and maintenance of scalable and efficient data models using DBT and Snowflake.
- Manage multiple projects simultaneously, ensuring timely delivery and adherence to high-quality standards.
- Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions and insights.
- Develop and optimize SQL queries and scripts for data transformation and aggregation.
- Implement and manage ETL processes, ensuring data accuracy and integrity.
- Lead the design and implementation of data orchestration workflows using tools such as Dagster or Airflow.
- Build out automated AI workflows using LLMs like ChatGPT, integrating advanced AI capabilities into data processes.
- Ensure compliance with data governance and security policies.
- Work closely with data scientists, analysts, and other stakeholders to support data modeling and analysis efforts.
- Communicate effectively with technical and non-technical stakeholders, translating complex technical concepts into actionable insights.
- Champion the use of GIT for version control and collaborative development.
- Promote a culture of continuous learning and improvement within the analytics engineering team.
- 3-5 years of proven experience as a Lead Analytics Engineer or similar role, with a strong portfolio of successful data projects.
- Expert knowledge of SQL and database management systems, particularly Snowflake.
- Extensive experience with ETL methodologies and data modeling.
- Proficient in orchestration tools like Airflow and Dagster.
- Hands-on experience with GIT for version control.
- Programming skills in Python and familiarity with data pipeline development are highly desirable.
- Excellent problem-solving skills and the ability to work independently or as part of a team.
- Strong communication skills, both verbal and written.
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
- Advanced degrees or professional certifications related to data engineering are preferred.
At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja’s innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA.
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What the Team is Saying
What We Do
SharkNinja redefines fast-paced. Bringing new, complex products to market in new categories every six months is not for the faint of heart. As a result, the talent that comprises our workforce is intelligent, committed, creative, and resilient no matter which department you call home. Everywhere you look here, you see the best of the best.
What makes SharkNinja unique is our method – almost a proprietary intensity – that is shared from top to bottom and produces incredible results. Ours is a winning team that creates the opportunity for anyone to be a winner. It’s a place where we can all (and are expected to) test, fail, learn, win, scale, and do it fast without ego. It’s not easy here by any stretch, but when you see that product that was just a sketch on a slide six months ago and is now on Amazon getting rave reviews, you can’t help but think, ‘Wow, look what we did together.’ If you like that feeling, then SharkNinja might be the place for you.
Why Work With Us
Whether your passion is engineering, designing, marketing, or developing, at SharkNinja you’ll find we’re all about people. We work together to create world-class products that delight our consumers. Building an admired consumer products problem solving engine is hard; we do it better than others by operating differently.
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SharkNinja Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Majority of roles are hybrid 3 days a week. Please speak with our recruiting team for specific details on hybrid work.
