Location
South San Francisco, CA | United States
Job description
Data Engineer ROCGJP00024750
A leading biotechnology company is seeking a Data Engineer. The successful candidate will join the Information Management Office (IMO) team to build and deploy data solutions for clinical trial operations, data science/predictive capabilities, and analytics/business intelligence tools. These platforms are built on AWS Cloud with S3, Glue, Talend, Redshift, Snowflake, Tableau, Qlik, and Alation. The ideal candidate has experience building Data Platforms, data lakes, modern data warehouse architectures, and Self-service Business Intelligence solutions.
Data Engineer Pay and Benefits:
- Hourly pay: $75-$85/hr
- Worksite: Leading biotechnology company (South San Francisco, CA 94080- Hybrid, three days in Office a week)
- W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
- 40 hours/week, 12 Month Assignment
Data Engineer Responsibilities:
- Serve as the IMO data engineer rep on ECD programs with minimum oversight.
- Assist in communicating technical concepts to business stakeholders as well as communicate any gaps to the technical team.
- Understand how work fits into the larger project, and identify problems with requirements and communicate to IMO leadership.
- Participate in the roadmap and strategy development discussions. Provide input on project estimations, specifications, and any ongoing issues that may negatively impact the project deliverables.
- Partner closely with project managers, technology, and business teams to evaluate and provide engineering solutions to their needs. Work closely with other Infra/DevOps, data engineers, data analysts, and data scientists in the team to deliver high-quality solutions.
- Lead solution architecture with minimal supervision.
- Provide L1 & L2 support for all data engineering tickets by maintaining the agreed-upon SLAs, RTOs, and uptime goals. Engage senior cloud engineers/leads and vendor support teams in the event of escalation.
Data Engineer Qualifications:
- 3+ years of experience with Data Engineering in Cloud Data Solutions (AWS preferred)
- 3+ years of experience building Data Platforms, data lakes, modern data warehouse architectures, and Self-service Business Intelligence solutions.
- 3+ years of experience in SQL, Relational databases
- 3+ years of experience w ith data processing and ETL/ELT techniques.
- 3+ years of Python programming experience.
- 2+ years of experience developing and supporting scalable data pipelines using technologies such as Kafka, Spark, and Airflow to support Batch and streaming data efficiently.
- 2+ years of experience with Snowflake Data Cloud.
- Experience with high-performance distributed data computing.
- Experience with good software development, and automation practices, including collaborative development using DevOps pipelines.
- Experience in Data Visualization tools such as Tableau, Power BI, etc. as it relates to data surfacing.
- Previous experience with Informatica, and Talend tools.
- Expertise in designing efficient Data Models, optimizing existing Data Marts, and developing and deploying Data structures based on those Data Models.
- Expertise in designing and implementing Data security to ensure the compliance of all data assets and analytical applications.
- Expertise in building processes supporting data transformation, data structures, metadata, dependency, and workload management.
- Exposure to Data Science Technologies and Capabilities.
- Excellent communication skills.
Job tags
Salary
