Senior Analytics Engineer: Data Platform & AI Pipelines

Emploive

San Francisco (CA)

Remoto

USD 167.000 - 208.000

Tempo pieno

5 giorni fa
Candidati tra i primi
Generatore di candidature

Una candidatura fatta su misura per questo lavoro — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Equity (stock options/RSUs)
Competitive benefits
Diversity & Inclusion

Descrizione del lavoro

Mercury is hiring a Senior Analytics Engineer to accelerate our data platform. You'll join a team of high-performing data engineers building foundations for decisioning, automation, and measurement across the company.

You should have 4+ years of analytics or data engineering experience and be proficient with SQL and Python, plus a modern data stack including Fivetran, Airflow, Snowflake, dbt, Omni, and Hex. The role involves governance and scalable data products.

Competenze

  • 4+ years of Analytics or Data Engineering experience.
  • Proficient in SQL and Python.
  • Experience with a modern data stack (Fivetran, Airflow, Snowflake, dbt, Omni, Hex).
  • Ability to build scalable data products and governance practices.

Mansioni

  • Design and build scalable data pipelines and business-conformed dimensional data marts in collaboration with Data Science, Engineering, Product, and Operations.
  • Support self-service analytics workflows, Analytics Engineering skills, and dimensional data principles through implementation, education, and peer support.
  • Help implement data and analytics products needed to effect our bank charter.
  • Contribute to data quality, governance, and security strategies and to Analytics Engineering standards.

Conoscenze

Analytics engineering
SQL
Python
Data pipelines
Data modeling
Experimentation
Stakeholder collaboration

Strumenti

Fivetran
Airflow
Snowflake
dbt
Omni
Hex

Descrizione del lavoro

Mercury is hiring a Senior Analytics Engineer to accelerate our data platform. You'll join a team of high-performing data engineers building foundations for decisioning, automation, and measurement across the company.

You should have 4+ years of analytics or data engineering experience and be proficient with SQL and Python, plus a modern data stack including Fivetran, Airflow, Snowflake, dbt, Omni, and Hex. The role involves governance and scalable data products.

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