Sr Data Engineer
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Job Location:
San Diego, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title
SR Data Engineer
Department
Data & Analytics
Location
Hybrid located in San Diego
Employment Type
Contract to Hire
Role Summary
As a Data Engineer you will design build and operate reliable governed and cost-efficient data pipelines that connect core platforms and support analytics operations and digital decision-making at scale. This role blends hands-on engineering with ownership of how data moves across the enterprise with a strong focus on automation observability and performance.
You will partner closely with analysts product owners automation engineers and architects to turn complex business needs into well-designed automated data products.
Key Responsibilities
Data Engineering & Pipelines
- Design develop and optimize ETL/ELT pipelines
- Build reusable and governed data models
- Translate business requirements into reliable data products
- Implement data pipeline monitoring and alerting
- Optimize performance and manage data platform costs
Data Platforms & Tools
- Develop pipelines using Snowflake Informatica IICS and dbt
- Build analytics-ready datasets for forecasting logistics and member analytics
- Support BI and reporting use cases
Automation & DevOps
- Implement CI/CD pipelines for data workflows
- Automate testing and deployments
- Manage source control using Git
Governance & Security
- Apply data governance security and compliance standards
- Document data lineage transformations and operational processes
Collaboration & Leadership
- Partner with analysts product owners automation engineers and architects
- Mentor junior engineers
- Contribute to data engineering standards and best practices
Required Skills
Data Engineering
- ETL / ELT
- Data Pipelines
- Data Warehousing
- Data Modeling (Kimball Inmon)
- Data Lineage
- Data Observability
Cloud & Platforms
- Snowflake
- Informatica IICS (CDI CAI)
- Azure Data Services
- Power BI
Programming & Querying
- SQL
- Python
DevOps & Automation
- Git
- CI/CD Pipelines
- Azure DevOps
- DataOps
- Automated Testing
Governance & FinOps
- Data Governance
- Data Security
- Compliance
- Cost Optimization
- FinOps
Ways of Working
- Cross-functional collaboration
- Technical documentation
- Mentorship
Qualifications
- 8 years of experience as a Data Engineer Software Developer or Automation Engineer
- Strong hands-on experience with SQL and Python
- Experience building cloud-based data pipelines and data warehouses
- Production experience with Snowflake and Informatica IICS
- Experience with Git and CI/CD pipelines
- Strong understanding of data modeling concepts (Kimball or Inmon)
- Ability to translate business and operational needs into automated data solutions
- Comfortable working with cross-functional multicultural teams
- Fluent in English and Spanish
Nice-to-Have Skills
- Experience with dbt
- Experience implementing monitoring and alerting for data platforms
- Experience with FinOps or cost governance for cloud data platforms
- Experience supporting analytics and BI teams
Cultural Attributes
- Self-directed and comfortable working with minimal supervision
- Calm under pressure and adaptable when constraints change
- Comfortable moving forward with imperfect information
- Brings positive energy and curiosity to the team
- Enjoys building things and solving messy problems
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
