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Software Engineer, Backend

Los Angeles, California, United States

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.

This Backend Engineering position with a heavy emphasis on data pipelines will be part of the Reporting and Measurement team; this team is responsible for providing accurate and reliable brand-focused metrics, measurement methodologies, and systems to our clients so they can create marketing strategies via informed audience targeting while abiding by privacy guidelines. This includes designing, building, and maintaining robust data pipelines that serve as the cornerstone of Tatari's business operations. We collectively work on developing and supporting the intricate calculations algorithms and data ingestion pipelines necessary for both linear and streaming TV platforms. Our focus lies in creating scalable and efficient solutions that enable Tatari to leverage data-driven insights effectively and drive success in the dynamic TV advertising landscape.

Responsibilities: 

  • Building, managing and optimizing data infrastructure, designing and developing data pipelines, and ensuring the reliability and scalability of data systems.
  • Implementing scalable, efficient, and reliable data infrastructure, including data storage, processing, and retrieval systems.
  • Developing and maintaining robust and efficient data pipelines to ingest, transform, and deliver data from various sources to data storage and analytical systems.
  • Designing and implementing data models and database schemas that support efficient data storage, retrieval, and analysis.
  • Building and maintaining ETL processes to extract data from different sources, transform it into a suitable format, and load it into data storage systems.
  • Identifying and resolving performance bottlenecks in data pipelines and database systems. Tuning and optimizing queries, indexes, and data storage configurations to improve overall system performance.
  • Experience maintaining micro services and APIs responsible for powering customer facing applications.
  • Collaborating with cross-functional teams, including data scientists, analysts, and software engineers, to understand their data requirements and provide them with the necessary infrastructure and tools. Mentoring and providing technical guidance to junior data engineers.
  • Implementing monitoring systems and practices to ensure the availability and reliability of data systems. Proactively identifying and resolving issues and investigating data-related incidents or anomalies.
  • Keeping up with the latest trends and technologies in the data engineering field. Evaluating and recommending new tools, frameworks, and technologies to improve data engineering processes and efficiency.

Qualifications: 

  • 5+ years of experience working in data architecture, data modeling, and building data pipelines & distributed systems at scale.
  • Recent accomplishments working with relational and NoSQL data stores, methods, and approaches (STAR, Dimensional Modeling).
  • 2+ years of experience with a modern data stack (Kafka, Spark, Airflow, lakehouse architectures, real-time databases, dbt, etc.) and cloud data warehouses such as RedShift, Snowflake.
  • Familiarity with cloud computing platforms like Amazon Web Services (AWS) and proficiency in leveraging cloud-based services for data storage, processing, and analytics, such as Amazon S3, EC2, and Lambda.
  • Proficiency in programming languages and frameworks commonly used in data engineering, such as FastAPI, Python, Java, Scala, or SQL. Experience with data processing frameworks and tools like Apache Spark (including Databricks), and Hadoop and knowledge of database technologies like SQL databases (e.g., MySQL, PostgreSQL).
  • Ability to identify and troubleshoot data-related issues, optimize systems, and propose innovative solutions.
  • Excellent communication skills to effectively collaborate with cross-functional teams, stakeholders, and business users and ability to explain technical concepts to non-technical audiences and translate business requirements into technical solutions.
  • Experience in providing technical guidance, mentoring junior data engineers, and leading data engineering initiatives and ability to drive projects, prioritize tasks, and manage timelines.

Benefits:

  • Total compensation ($140,000-180,000/annually)
  • Equity compensation
  • Health insurance coverage for you and your dependents, with minimum contribution and buy-up plans
  • Unlimited PTO and sick days
  • Snacks, drinks, and catered lunches at the office
  • Team building events 
  • $1,000 annual continued education benefit
  • $500 WFH reimbursement
  • $150 Monthly work-related stipend
  • FSA and commuter benefits
  • Monthly Company Wellness Day Off
  • Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION

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.

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This role is currently based out of our SF, LA, or NY office with a hybrid WFH policy until further notice. 

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