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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