Senior Data Engineer (US Citizens and Green Card Holders only)
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Job Location:
Santa Monica, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Senior Data Engineer
Location: Santa Monica Los Angeles New Jersey or Seattle WA
Work Type: Hybrid 4 days onsite per week
Experience: 5 Years
Work Authorization: US Citizens and Green Card Holders only
About the Role:
We are seeking an experienced Senior Data Engineer to design build and optimize scalable data pipelines that drive business insights and analytics capabilities. The ideal candidate will have strong expertise in data engineering ETL pipeline development SQL performance tuning and modern data platforms. You will collaborate cross-functionally with analytics infrastructure and business teams to support enterprise-wide reporting KPIs and data-driven decisions.
This role requires a hands-on technologist with strong analytical skills and the ability to operate in a fast-paced highly collaborative environment.
Key Responsibilities:
- Collaborate with technical and non-technical teams to gather and translate data and reporting requirements.
- Design and build robust scalable and efficient ETL pipelines for internal and external data sources.
- Develop and maintain data models and schemas optimized for analytics and reporting.
- Implement and automate data quality checks to ensure accuracy and reliability of critical datasets.
- Create and manage ETL workflows using orchestration tools such as Airflow or Prefect.
- Utilize Snowflake Databricks and Spark to process and transform large-scale data efficiently.
- Conduct SQL and ETL performance tuning for high-performance data operations.
- Develop automated deployment pipelines using CI/CD tools (e.g. Jenkins GitHub Actions).
- Collaborate with infrastructure and DevOps teams to monitor pipelines using tools like Datadog.
- Perform ad hoc analysis contribute to architecture reviews and support the implementation of data governance best practices.
Required Qualifications:
- 5 years of hands-on data engineering experience in a modern cloud or hybrid data environment.
- Proficiency in:
- Advanced SQL (complex queries optimization performance tuning)
- Python for data processing and automation
- Spark Snowflake Databricks and Airflow (or Prefect)
- Strong understanding of data modeling principles (dimensional modeling normalization).
- Experience working with at least one major cloud platform (AWS Azure or GCP).
- Excellent analytical problem-solving and strategic thinking abilities.
- Strong communication skills-both written and verbal-with the ability to explain complex concepts clearly.
- Comfortable working in an Agile/Scrum environment.
Preferred Qualifications:
- Bachelors or Masters degree in Computer Science Engineering or related technical field.
- Experience with:
- Kafka or other streaming data tools
- Data integration and visualization platforms (e.g. Datorama Improvado FiveTran)
- Docker containers for deployment and scalability
- Monitoring tools such as Datadog or similar
- Background in media entertainment or digital analytics environments is a plus.
Additional Information:
- Work Location: 4 days per week onsite from one of the following hubs:
- Santa Monica CA
- Los Angeles CA
- New Jersey
- Seattle WA
- Work Authorization: US Citizens and Green Card Holders only
- Stability: No job hoppers seeking candidates with consistent long-term experience.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
