Senior Data Engineer

Tatari

$170K — $200K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience with production-scale ETL pipelines
  • Strong programming abilities in Python or similar, and SQL; proficiency in Spark/PySpark
  • Experience with Airflow for workflow orchestration and related tasks
  • Strong data modeling skills for analytics and schema design
  • Interest in innovative developer workflows and automation techniques
  • Rigorous approach to data quality and validation processes
  • Experience debugging and optimizing distributed data systems
  • Eloquent communication skills for technical documentation and collaboration

Responsibilities

  • Design, build, and manage large-scale data pipelines for data processing
  • Collaborate closely with data science and engineering teams on technical specifications
  • Own the lifecycle of data products from requirements to implementation
  • Validate and ensure the quality of datasets for reporting
  • Implement and oversee data models that support analytics and reporting
  • Engage in continuous learning on emerging data engineering paradigms
  • Optimize and debug performance issues in distributed data systems

Benefits

  • Equity compensation
  • Health insurance coverage for you and your dependents
  • 401K, FSA, and commuter benefits
  • Monthly spending account of $150
  • $1,000 annual education benefit
  • $500 Newbie Productivity Perk
  • Unlimited PTO and sick days
  • Monthly Company Wellness Day Off
  • Snacks, drinks, and catered lunches in the office
  • Hybrid work model requiring 2 days per week in the office
  • Team building events
Full Job Description
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)

Benefits
  • 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

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