Data Engineer II
March 23
🔄 Hybrid – Los Angeles
Airflow
Amazon Redshift
AWS
Azure
Cloud
Docker
ETL
Google Cloud Platform
Java
Kubernetes
MySQL
Oracle
Postgres
Python
Scala
SQL
Go
Description
• Gather requirements, understand the big picture, create detailed proposals in technical specification documents • Proof of concept evaluations of new technologies, new features, patterns, frameworks, API • Productizing data ingestion from various sources, data delivery to various destinations, and the creating well-orchestrated data pipelines • Consolidate and modernize the codebase • Continuously improve monitoring and alerting coverage • Communicate effectively with upstream / downstream stake-holders, with clear understanding of data contracts or dependencies • Conduct SQL data investigations, data quality analysis and optimizations • Work in a transparent, and agile team environment, supporting the peers • Perform maintenance of existing infrastructure, improving efficiency and costs • Contribute in peer code reviews, and help the team produce high quality code
Requirements
• Bachelors or Masters degree in Computer Science/Engineering • Excellent communication skills • Strong SQL proficiency, and preferably SQL query optimization experience • Programming expertise in Python, Scala, and/or Java • Experience in databases like Postgres, MySQL, Oracle or SQL Server • Familiarity with one of the Cloud data-warehouses like Snowflake, Google BigQuery, AWS Redshift, Azure Synapse, Databricks • Good understanding of data modeling, database design, relational/non-relational concepts • Good understanding of data engineering fundamentals, ELT / ETL, latency, observability, lineage, distributed storage and distributed computing • Familiarity with software production engineering practices, version control, code peer reviews, automated testing, and CI/CD • Cloud ecosystem experience within AWS, GCP, or Azure experience, is a plus • Experience with modern orchestration platforms, such as Airflow, is a plus • Familiarity with docker, kubernetes containerization strategies and optimization, is a plus • Working knowledge of dbt and jinja macros, dbt docs, dbt test is preferred, but not required • Any experience collaborating with business intelligence, data analytics, data science stake-holders, is a plus
Benefits
• Competitive salary + bonus + equity • Generous PTO + 11 company holidays • Open sick time • 100% covered Medical, Dental, Vision for employees • 401k with match • Health & Dependent Care Flex Spending Account • Paid professional development • Leadership & growth opportunities • Virtual company and team building events
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