Data Engineer

Position Overview

• Location Type: Hybrid
• Employment Type: Full-time
• Salary: $140,000 - $170,000 annually

Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brands—like Calm, Vuori, Rocket Money, and hundreds more—to grow their business using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience. Our technology and services are pushing the industry forward, enabling businesses of any size to advertise on TV.

Named one of the 16 Hottest Ad Tech Companies by Business Insider and Best Places to Work by Inc. Magazine, Tatari is experiencing rapid growth. Our executive team is comprised of former founders and senior leaders at fast-rising startups like Shazam, TrueCar, AdapTV, and LiveRail and larger, more established tech companies like Amazon, Google, Meta, Microsoft, and Yahoo.

Requirements

• Experience: 3+ years of dedicated experience building and scaling data pipelines and data infrastructure
• Cloud Experience: 2+ years of experience working with cloud-based infrastructure (primarily AWS and Databricks)
• Programming Skills: Strong programming skills in Python or a similar language
• Containerization: Experience with containerization and deployment using Docker
• Workflow Orchestration: Hands-on experience developing and orchestrating workflows using Apache Airflow
• Distributed Processing: Expertise in building and optimizing distributed data processing systems with Spark/PySpark
• Database Knowledge: Working knowledge of OLAP and OLTP databases such as Clickhouse and Postgres
• Security: Familiarity with security, controls, and access management for data systems

Responsibilities

• Design, build, and scale the infrastructure that powers Tatari’s data engineering, data science, and analytics efforts.
• Implement industry standard data engineering practices and solutions.
• Bring in new tools and technologies when necessary and scale current data infrastructure.
• Contribute to a team environment, focusing on collaboration and knowledge sharing.

Nice to Have (Bonus Skills)

• Experience deploying and managing open-source frameworks like Kafka, Kubernetes, Terraform, and Helm
• Exposure to MLOps concepts, tooling, and practices
• Experience setting up observability and monitoring for data platforms
• Background in building cost-efficient, scalable cloud-native solutions

Benefits

• Total Compensation: $140,000 - $170,000 annually
• Equity Compensation
• Health Insurance: Coverage for you and your dependents
• Retirement: 401K, FSA, and commuter benefits
• Spending Account: $150 monthly spending account
• Education Benefit: $1,000 annual continued education benefit
• WFH Reimbursement: $500 WFH reimbursement
• Paid Time Off: Unlimited PTO and sick days
• Wellness: Monthly Company Wellness Day Off
• Food & Drink: Snacks, drinks, and catered lunches at the office
• Team Building: Opportunities for team building activities.