Senior Software Engineer, Fullstack - Core Measurement

The core mission of the measurement team is to make data accessible and valuable for our customers, ensuring that measurement metrics are available in a suitable format. Data privacy is a top priority, and we focus on enabling measurement with and without IP and PII data, breaking down walled gardens. Our primary goal is to license and monetize cutting-edge measurement data for our customers.

Given the size and complexity of our data, this is a significant undertaking. Nearly every engineer on our measurement teams at Tatari relies on this data, and as a member of this team, you would be at the center of product innovation. Your work would involve building integrations and UX to onboard customers to Tatari for measurement:

• Build and evolve pixels and systems for collecting data while being privacy-conscious. We process billions of rows a day.
• Build integrations with external partners to simplify collecting client events and metrics.
• Develop data as a large-scale product for Tatari's customers.
• Create datasets with the Data Science, Product, and measurement teams to power measurement products and features.
• Work with external data vendors to design and build scalable and reliable ETL data pipelines.

The ideal candidate for this role will have a background in building large-scale, data-intensive applications with SQL and NoSQL, high-throughput and responsive internal and external APIs for data products, and experience in user experience design.

Responsibilities

• Translate product and business requirements into full-stack applications and systems.
• Build and maintain highly available, high-volume 1st party pixel systems for data gathering and Shopify integration.
• Design, build, deploy, and support scalable, high-volume data pipelines and applications.
• Create easy-to-use systems for partners to integrate with our technology platform robustly.
• Design relational and non-relational data models for optimal data storage and retrieval for data products.
• Evaluate, recommend, and build new data access interface prototypes for high-dimensional and high-volume data.
• Participate in technical architecture discussions and peer code reviews.
• Collaborate with data scientists, business analysts, engineers, and product managers to understand the company's data-related needs and support them with applications.
• Identify, document, and promote data engineering best practices on the team and in the larger organization.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or relevant field of study
• Expertise in building large-scale applications in Python.
• 5+ years of experience building full-stack applications emphasizing backend and large-scale applications.
• Experience building highly available, large-dimensional, responsive data access interfaces and APIs for internal and external customers for data products.
• Experience in building UX with React and similar technologies.
• Recent accomplishments working with relational and NoSQL data stores.
• Preferred: 2+ years of experience with a modern data stack (Databricks, Kafka, Spark, Airflow, real-time databases) and cloud data warehouses such as RedShift and Snowflake.

Benefits

• Competitive salary ($185-205K)
• Equity compensation
• 100% coverage for you and your dependents
• Unlimited PTO and sick days
• Snacks, drinks, and catered lunches (when it’s safe!)
• Team building events (when it’s safe!)
• $1000 annual continued education benefit
• $500 WFH reimbursement
• $125 pre-tax monthly stipend to spend on whatever you want
• Annual mental health awareness app reimbursement
• FSA and commuter benefits
• Monthly Company Wellness Day Off (During WFH)
• Hybrid RTO: 2 flex days a week in 2024. Likely increasing to 3 after, but no more than that. THIS IS AN IN-OFFICE POSITION.

At Tatari, we believe in cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued, and diversity is celebrated.