Senior Data Engineer

Tatari

San Francisco (CA)

Hybrid

USD 170,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Equity compensation
401K
FSA
Commuter benefits
Monthly spending account
Continued education benefit
Unlimited PTO
Wellness day off
Snacks and lunches
Team building events

Job summary

Tatari is seeking a Senior Data Engineer to own end-to-end data pipelines for reporting and measurement. You will design, build and operate large-scale ETL processes, working closely with data science, backend and product teams to ship trusted analytics datasets.

The role requires strong Python/SQL, Spark/PySpark, and experience with Databricks and Delta Lake, plus a Hybrid RTO in SF to collaborate in person.

Qualifications

  • 5+ years designing, building and operating production ETL pipelines at scale
  • Strong programming in Python and SQL; deep hands-on Spark/PySpark experience (Databricks/Delta Lake)
  • Experience with workflow orchestration tools such as Airflow, including DAG design/backfills
  • Strong data modeling for analytics and data contracts used by downstream services

Responsibilities

  • Design, build and own large-scale ETL pipelines powering Tatari's reporting and measurement products
  • Take data products from requirements through tech specs, implementation, validation and rollout
  • Collaborate with data science, backend/frontend engineers, and product on data needs
  • Ensure data quality, validation and operating datasets end-to-end

Skills

ETL pipelines
Python
SQL
Spark
PySpark
Databricks
Delta Lake
Airflow
Data modeling
Data quality

Tools

Databricks
Delta Lake
Spark
PySpark
Airflow

Job description

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V reach their customers 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, enabling businesses of any size to advertise on TV.

As a Senior Data Engineer in our Reporting and Measure pillar, you will design, build and own the large-scale data pipelines that turn high-volume raw data into curated, production-grade datasets powering Tatari’s reporting and measurement products. You will be responsible for taking data products from requirements through tech spec, implementation, validation and production rollout—partnering closely with data science on methodology, backend and frontend engineers on serving layers, and product on requirements. The ideal candidate will have deep expertise in building and operating ETL pipelines at scale, a strong data quality and validation mindset, and a proven track record of owning datasets end-to-end in a cross-functional environment.

Your skills and experience:
  • 5+ years of dedicated experience designing, building and operating production ETL pipelines at scale
  • Strong programming skills in Python (or a similar language) and SQL; deep hands-on experience with Spark/PySpark. We use Databricks and Delta Lake here
  • Experience with workflow orchestration tools such as Airflow, including DAG design, backfills and failure recovery
  • Strong data modeling skills for analytics - curated/gold-layer datasets, schema design, partitioning and data contracts consumed by downstream services
  • Ongoing interest in agentic developer workflows: testing agent harnesses, building them, agent loop engineering, and similar emerging paradigms. You enjoy learning how they're reshaping the way software gets built.
  • A rigorous approach to data quality: validation, reconciliation and methodology comparison as part of shipping any dataset
  • Experience debugging distributed data systems - performance tuning, memory issues, and optimizations
  • Strong written communication and cross-functional collaboration skills, from tech specs to incident writeups
  • Bonus points if you have experience with OLAP stores (e.g., ClickHouse)
  • Total compensation ($170,000-200,000/Annually)
  • Equity compensation
  • Health insurance coverage for you and your dependents
  • 401K, FSA, and commuter benefits
  • $150 monthly spending account
  • $1,000 annual continued education benefit
  • $500 Newbie Productivity Perk
  • Unlimited PTO and sick days
  • Monthly Company Wellness Day Off
  • Snacks, drinks, and catered lunches at the office
  • Team building events
  • Hybrid RTO of 2 days per week in office

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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