Senior Data Engineer

Key Skills

Apache Kafka, AWS, Data Engineering, Data Lake, Data pipelines, Data science techniques, Databricks, Docker, Infrastructure as code, Lakehouse, Machine learning techniques, PySpark, Python Programming, SPARK Programming, Terraform

Job Description

Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brands—like Calm, Fiverr, and Chime—to grow their business through linear and streaming TV. We combine a sophisticated media buying platform with proprietary analytics to turn TV advertising into an automated, digital-like experience. Named one of the Hottest Ad Tech Companies by Business Insider, and Best Places to Work by Inc. Magazine for the third consecutive year, our team includes founders and leaders from Google, Microsoft, Stripe, Shazam and Facebook. We are growing rapidly as we accelerate our mission to automate the complex landscape of managing and measuring television advertising. We have a long-term goal to make marketing on TV available to businesses of any size. As a data and analytics adtech company, Tatari relies on a wide, heterogeneous and ever evolving set of data sources, upon which our data scientists build predictive models for television buying and analytics and our clients make critical spend decisions to maximize advertising spend ROI.

As a data engineer on our core Data Platform team, you will help level up Tatari’s data platform by designing, building and scaling the infrastructure which powers all of our data engineering, data science and analytics efforts. You will be responsible for laying down industry standard data engineering practices and solutions, bringing in new tools and technologies when necessary and doubling down efforts to scale current data infrastructure. The ideal candidate will have strong infrastructure and data engineering skills, a proven track record of successfully building and scaling data infrastructure leveraged by growing companies as well as the ability to evangelize and drive new technology adoption.

Your skills and experience:

• 5+ years of dedicated data engineering experience building data pipelines, and maintaining and scaling data infrastructure
• 5+ years of experience working with cloud based infrastructure. We use AWS and Databricks here
• Strong programming skills in Python or a similar language
• Strong experience deploying and managing open source frameworks such as Airflow, Kafka, Spark, Kubernetes, etc.
• Comfortable working with Spark/PySpark, Databases and Data Lakehouses, Terraform and Docker
• Strong experience scaling and managing on-premise and cloud based database deployments
• Experience with security, controls and access management for data
• Bonus points if you have experience in ML operations

Benefits:

• Competitive salary ($175-195K annually)
• Equity compensation
• 100% health insurance premium coverage for you and your dependents
• Unlimited PTO and sick days
• Snacks, drinks, and catered lunches at the office
• Team building events
• $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
• Hybrid office schedule, currently at 2 days a week

At Tatari, we believe in the importance of 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.