AdTechTalent
Data Science8 days agoHybrid

Tatari

Senior Data Engineer

pythonsqlsparkpysparkdatabricksdelta lakeairflowetldata pipelinesdata engineeringdata qualityolapclickhousehybridseniordata science

Key details

Salary

$170K – $200K

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

New York, US

Full job description

Tatari is seeking a Senior Data Engineer to design, build, and maintain large-scale ETL data pipelines for reporting and measurement products. The role involves ownership of data products from requirements through production rollout, collaborating with data science, engineering, and product teams. Candidates must have 5+ years experience with ETL pipelines, strong Python and SQL skills, expertise in Spark/PySpark, experience with Airflow, data modeling skills, and a strong focus on data quality and debugging distributed data systems. Bonus for experience with OLAP stores like ClickHouse. The position is full-time, hybrid (2 days in office), located in New York, NY. Compensation ranges from $170,000 to $200,000 annually plus equity and benefits.

What you'll do

  • Design, build and own large-scale data pipelines that turn high-volume raw data into curated, production-grade datasets
  • Take data products from requirements through tech spec, implementation, validation and production rollout
  • Partner closely with data science on methodology
  • Collaborate with backend and frontend engineers on serving layers
  • Work with product on requirements

Requirements

  • 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
  • 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
  • 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)

Tech stack

PythonSQLSparkPySparkDatabricksDelta LakeAirflowClickHouse

Benefits

Total compensation ($170,000-200,000/Annually)Equity compensationHealth insurance coverage for you and your dependents401K, FSA, and commuter benefits$150 monthly spending account$1,000 annual continued education benefit$500 Newbie Productivity PerkUnlimited PTO and sick daysMonthly Company Wellness Day OffSnacks, drinks, and catered lunches at the officeTeam building eventsHybrid RTO of 2 days per week in office

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