3 дня назад
Senior Data Engineer (AI)
130 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AI/data platform): Building data pipelines, models, and semantic layers for a predictive personalization engine focused on client retention, service forecasting, and in-market experiments with an accent on ELT, event-driven signals, and CRM integrations. Focus on designing data foundations for discovery-stage tests, preparing data for machine learning, and using AI coding tools to accelerate pipeline development, testing, and delivery.
Location: Hybrid, requiring two days per week in the San Francisco office every Tuesday and Wednesday. Candidates must be legally authorized to work in the United States without employer sponsorship.
Salary: $130,000–$170,000 base pay per year, excluding bonus, benefits, and perks.
Company
is a marketplace platform connecting clients with Taskers for home services such as furniture assembly, handyman work, and moving help.
What you will do
- Build and maintain data pipelines and models covering client home profiles, job history, weather, life events, moves, and other seasonal signals.
- Prepare data models for machine learning predictions about which home service a client may need and when.
- Connect personalization signals to email, SMS, push, onsite, CRM, and marketing channels.
- Develop dbt models and semantic layers to launch and measure in-market product experiments.
- Use AI coding assistants to scaffold pipelines, write tests, review code, and accelerate delivery from hypotheses to live tests.
- Document the data foundation and contribute to the roadmap while collaborating with Product, Design, Marketing, BizOps, Machine Learning, and Engineering.
Requirements
- Experience building and maintaining ELT pipelines with tools such as dbt, Airflow, and Fivetran.
- Experience with Snowflake, BigQuery, Redshift, or an equivalent cloud data warehouse.
- Strong data modeling skills, including dimensional modeling and star or snowflake schemas.
- Proficiency in SQL and at least one general-purpose programming language such as Python, Java, or Scala.
- Regular use of AI coding assistants such as Copilot, Cursor, or Claude Code, including prompting, reviewing, and validating generated code.
- Comfort working in an ambiguous, discovery-stage environment and familiarity with BI or semantic-layer tools such as Looker, Mode, or Tableau.
Nice to have
- Experience with streaming platforms such as Kafka or Kinesis and real-time data processing.
Culture & Benefits
- Hybrid work model with flexibility and regular in-person collaboration.
- Employer-paid health insurance and a 401(k) match with immediate vesting for US-based employees.
- Flexible time off and two company-wide closure weeks.
- Product, wellness, productivity, and education stipends, plus IKEA discounts and reproductive health support.
- Inclusive, collaborative, pragmatic, and fast-paced work environment.
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