Senior Staff Data Engineer

New
M
Meeru AIFinancial data
Brazil. Poland. Argentina. Mexico. Romania. United States, Willingness to work part of your day overlapping with US hours.Full-TimeStaff
Salary not disclosed
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Job Details

Languages
In English
Experience
10+ years in data engineering, including significant time at Staff, Principal or Lead level.
Required Skills
PostgreSQLPythonSQLSnowflakeAirflowData modelingBigQuerydbt

Requirements

  • Have 10+ years in data engineering, including significant time at Staff, Principal or Lead level.
  • Have owned data architecture for a whole system.
  • Have designed a canonical or common data model used by many teams.
  • Know how to define shared entities, hierarchies, dimensions and time periods across data sources and consumers.
  • Have designed mapping frameworks or connector strategies that reuse work.
  • Have expert SQL and dbt (or similar) modeling skills at scale, including window functions, large joins, incremental and CDC models, and performance tuning.
  • Have deep warehouse knowledge of Snowflake, BigQuery and/or PostgreSQL, including partitioning, internals, and cost-versus-performance trade-offs.
  • Have production orchestration experience with Airflow, Dagster or Prefect, and build idempotent, reproducible pipelines.
  • Have experience with lineage capture, data contracts, quality tests and schema evolution.
  • Have strong Python skills for pipelines, tooling and testing.
  • Have experience leading and mentoring data engineers, ideally across distributed or offshore teams.
  • Be willing to work part of the day overlapping with US hours.

Responsibilities

  • Own data architecture for a whole system, not just individual pipelines.
  • Design canonical or common data models used by many teams.
  • Define shared entities, hierarchies, dimensions and time periods for multiple sources and consumers.
  • Build systems where new customers or sources can be added by configuration.
  • Design reusable mapping frameworks or connector strategies.
  • Lead and mentor data engineers, run design reviews and write standards.
  • Explain and defend architecture decisions in writing and meetings.
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