SENIOR ANALYTICS ENGINEER $200-250,000 plus bonus Join Our Team as a Senior Analytics Engineer. Are you eager to create scalable, efficient data systems that fuel business success? Join a fast-growing and innovative company that supports prestigious brands, enabling them to deliver faster, personalized, and innovative web experiences.
About Us Our company is revolutionizing how developers and businesses build, scale, and secure web applications. We aim to help organizations ship the best digital products while partnering with industry leaders like Under Armour, eBay, The Washington Post, Johnson & Johnson, and Zapier. Our platform delivers an exceptional developer experience and robust infrastructure for dynamic user experiences, empowering teams to perform at their best.
Role Overview As a
Senior Analytics Engineer, you will team up with various departments to design and implement essential data models that guide decision-making at every level of our organization. You will play a critical role in architecting data systems, ensuring data quality, and creating tools that enable self-service analytics across Engineering, Product, Finance, and more.
Key Responsibilities - Collaborate with stakeholders to establish and document company-wide single-source-of-truth data models.
- Architect and maintain high-performance, reliable data pipelines to enhance:
- Self-service data consumption.
- Flexible querying and visualization.
- Advanced analytical and scientific use cases.
- Act as a data steward and subject-matter expert for designated business and technology domains.
- Develop and improve internal data tooling focusing on:
- Error logging, auditing, and data validation.
- Democratizing data model and pipeline ownership.
- Enhancing data discoverability and usability.
- Championing best practices for data modeling and development standards.
- Promote data quality by transforming complex, dynamic datasets into consistent, trustworthy resources.
Required Skills - 8+ years of experience in querying, visualizing, and presenting data in a tech-driven data environment.
- Expertise in SQL with a background in building scalable, efficient queries.
- 6+ years of experience with Snowflake or BigQuery.
- 2+ years of experience with DBT or Spark-based data pipelines.
- Strong foundation in schema design and data modeling strategies (e.g., dimensional modeling, data vault).
- Proficient in general-purpose programming languages (e.g., Python, Java, Go) and experienced with various data structures and serialization formats.
- Proven ability to tackle ambiguous challenges, produce clear documentation, and communicate with precision.
Preferred Qualifications - Strong enthusiasm for building scalable systems and maintaining high data quality.
- Ability to work independently on complex challenges and quickly learn new tools.
- Meticulous attention to detail and a commitment to fostering a data-first culture.
Why You Should Apply - Competitive Compensation: Attractive salary and stock options.
- Inclusive Healthcare: Comprehensive healthcare packages supporting your overall well-being.
- Growth Opportunities: Access to mentorship programs and industry events to elevate your skills and expand your network.
- Flexible Time Off: Recommended 4 weeks of vacation annually plus paid holidays.
- Remote Work: Collaborate with a global team and benefit from a work-from-home budget to create your ideal workspace.
- Cutting-Edge Tech Stack: Work with tools like Kafka, Snowflake, DBT, Airflow, and AWS.
This is your chance to influence the future of data and analytics at a company driving innovation across industries. If you're a forward-thinking engineer passionate about data quality, scalability, and making a meaningful impact, we want to hear from you.
Apply today and be part of a team that thrives on collaboration, excellence, and innovation.