Data Engineer IV

New
I
itDData Engineering
United States, Preference for PST timezoneContractSenior
Salary not disclosed
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Job Details

Experience
6+ years
Required Skills
PythonSQLApache AirflowETLMachine LearningSnowflakeTableauSpark

Requirements

  • 6+ years of experience in data engineering, analytics, or related domain
  • Bachelor’s degree in Computer Science or a related field
  • Strong proficiency in SQL (complex queries, performance tuning) and Python
  • Experience designing and building production-grade ETL/ELT pipelines at scale
  • Hands-on experience with workflow orchestration tools (e.g., Airflow or equivalent)
  • Experience with data warehousing platforms (e.g., Spark, Hive, Snowflake, BigQuery)
  • Experience building data visualizations and dashboards (Tableau or similar tools)
  • Strong understanding of data modeling and data governance best practices
  • Experience enabling AI/ML workflows, including feature pipelines or AI-assisted analytics

Responsibilities

  • Design, build, and maintain scalable data pipelines (batch and streaming) to support multiple business use cases
  • Develop and optimize ETL/ELT workflows, data models, and data warehouse architectures for efficient data processing
  • Implement data quality frameworks including validation, monitoring, and alerting to ensure data reliability
  • Create and maintain self-service dashboards and visualizations to communicate insights to stakeholders
  • Enable AI/ML-driven analytics by building feature pipelines and integrating model-ready datasets
  • Automate data workflows and reporting using AI tools to improve efficiency and reduce manual effort
  • Collaborate cross-functional with product, engineering, and operations teams to deliver data-driven solutions
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