Headquartered in Venice, California, Peak Ventures is a rapidly growing marketing technology platform that builds and deploys next-generation digital experiences in various search, content, and e-commerce verticals.Our employees are uniquely talented and passionate about our mission to create world-class, data-driven products.
It takes a team of the world’s best to stay cutting-edge in an ever-evolving industry.Therefore, we are looking for obsessive people who are innovative and well-versed in their craft.These individuals will not only fit in with our company values, but they will also be fearless self-starters who push the limits of daily.
If you think you have what it takes to be a part of our growing team, we would love to chat.
About The Role
We are looking for a dynamic and experienced Data Engineer excited to thrive in an energetic startup environment.The ideal candidate is a collaborative team player, adept at building simple and elegant solutions to meet business needs across expansive datasets, with a strong focus on optimized performance and scalability.
In this role, you will work closely with data science, product, and marketing teams, leveraging datasets from millions of users, various external APIs, and data feeds to extract valuable insights.You should be comfortable operating within a highly collaborative team setting, where your ability to manipulate and interpret complex data is crucial to driving impactful decisions.
Responsibilities
- Design, build, and maintain scalable data pipelines that are the backbone of our business operations.
- Collaborate with stakeholders to gather requirements, understand the overall business context, and translate them into detailed technical specifications.
- Evaluate and prototype new technologies, features, and frameworks, ensuring we stay ahead of the curve.
- Develop and productize data ingestion from multiple sources, delivering data seamlessly to various destinations with well-orchestrated pipelines.
- Work closely with marketing teams to rapidly prototype and refine new datasets that drive business insights.
- Monitor and maintain existing pipelines, implementing robust checks to quickly identify and resolve issues.
- Process and manage user engagement data, product feeds, and APIs, handling both batch and real-time data flows efficiently.
- Contribute to a transparent, agile team environment, actively supporting and collaborating with peers.
Skills & Qualifications
- 3+ years of professional experience building scalable data infrastructure.
- 1+ years of experience with Snowflake.
- 1+ years of experience with DBT.
- Experience integrating with third-party APIs in a scalable, robust and maintainable manner.
- Strong knowledge of SQL.
- Experience designing data models and debugging query performance.
- Experience levering cloud infrastructure to build and maintain reliable data pipelines.
- Strong communication skills for coordinating solutions with remote team members.
- Working knowledge of Python - 3+ years of experience a plus.
- Working experience in AdTech a plus.
- Working hours overlapping with 8am - 10am PST/PDT.
What We Offer
- Competitive Compensation Package: Base salary may vary by location, but is always complemented with bonus or commission opportunities depending on the role at hand.
- Unlimited PTO: Take the time you need with unlimited paid time off, plus enjoy our built-in paid holidays.
- Supportive Parental Leave: Our flexible parental leave policy ensures you have the support you need for your family.
- Professional Growth Opportunities: Advance your career with access to ongoing professional development and growth within our expanding organization.
- Hybrid Work Culture: With team members all over the world, we combine remote flexibility with in-person collaboration in Los Angeles and Lisbon. This varies by role, so expectations will be agreed upon on a case-by-case basis.
- Collaborative Work Environment: Be part of a forward-thinking team that values employee well-being, creativity, and innovation.
Apply
To apply, send an email to . Please include the role title and your name in the subject line, your resume, and a bit about why you are a fit for this role. We can’t wait to meet you!
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