Overview
On Site
USD 120,000.00 - 140,000.00 per year
Full Time
Skills
Distribution
Optimization
Interfaces
Project Implementation
Mentorship
Continuous Improvement
Collaboration
Database
Microsoft SQL Server
Oracle
Database Administration
RDBMS
SQL
Python
Data Manipulation
Data Modeling
Analytics
Amazon Web Services
Google Cloud
Google Cloud Platform
Data Engineering
Big Data
Apache Spark
Cloud Computing
Extract
Transform
Load
Databricks
Scalability
Real-time
Agile
Scrum
Project Delivery
Business Intelligence
Training
Computer Science
Data Science
Information Technology
Science
Statistics
Economics
Mathematics
Microsoft Azure
Data Analysis
Visualization
Decision-making
Reporting
Genetics
Authorization
Law
LOS
Recruiting
Job Details
Meaningful work for Non-profit!
This Jobot Job is hosted by: Angela Trudeau
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $120,000 - $140,000 per year
A bit about us:
Large non-profit blood collection and distribution organization.
Why join us?
excellent benefits
401k
meaningful mission
hybrid
work-life balance
Job Details
The Senior Data Engineer plays a key role in shaping and advancing the organization's data infrastructure strategy. Reporting to the Director of Data Engineering, this position is responsible for the design, development, and optimization of scalable databases, data pipelines, and data interfaces. The ideal candidate brings strong expertise in SQL, Python, and cloud platforms such as Azure, AWS, or Google Cloud, enabling the delivery of robust, high-performance data solutions aligned with business objectives.
With a solid foundation in Big Data technologies-including Spark and modern cloud-based ETL tools like Databricks-the Senior Data Engineer enhances the team's ability to tackle complex data challenges. Operating within an Agile/SCRUM environment, this role ensures timely and innovative project execution. Additionally, the position includes mentoring junior engineers and fostering a culture of technical excellence and continuous improvement.
Collaboration is central to this role, involving close coordination with data scientists, business intelligence teams, software engineers, and other stakeholders to transform complex data requirements into actionable and scalable engineering solutions.
Essential Experience:
Cloud and Big Data Experience:
Methodology and Tools:
Any combination of education, training, and experience that provides the required knowledge, skills, and abilities to perform the essential functions of the job.
Preferred Qualifications
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
This Jobot Job is hosted by: Angela Trudeau
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $120,000 - $140,000 per year
A bit about us:
Large non-profit blood collection and distribution organization.
Why join us?
excellent benefits
401k
meaningful mission
hybrid
work-life balance
Job Details
The Senior Data Engineer plays a key role in shaping and advancing the organization's data infrastructure strategy. Reporting to the Director of Data Engineering, this position is responsible for the design, development, and optimization of scalable databases, data pipelines, and data interfaces. The ideal candidate brings strong expertise in SQL, Python, and cloud platforms such as Azure, AWS, or Google Cloud, enabling the delivery of robust, high-performance data solutions aligned with business objectives.
With a solid foundation in Big Data technologies-including Spark and modern cloud-based ETL tools like Databricks-the Senior Data Engineer enhances the team's ability to tackle complex data challenges. Operating within an Agile/SCRUM environment, this role ensures timely and innovative project execution. Additionally, the position includes mentoring junior engineers and fostering a culture of technical excellence and continuous improvement.
Collaboration is central to this role, involving close coordination with data scientists, business intelligence teams, software engineers, and other stakeholders to transform complex data requirements into actionable and scalable engineering solutions.
Essential Experience:
- 7+ years of progressive experience in data engineering, with significant expertise in designing, implementing, and optimizing databases and data pipelines.
- Extensive hands-on experience with SQL Server, Oracle, or other relational database management systems (RDBMS).
- Proficiency in SQL and Python for advanced data manipulation and analytics.
- Demonstrated experience with data modeling and architecture for both analytics and transactional systems within large-scale environments.
Cloud and Big Data Experience:
- Proficient with at least one major cloud data platform (Azure, AWS, Google Cloud) with practical application in data engineering projects.
- Familiarity with Big Data technologies such as Spark and Cloud ETL tools like Databricks, focusing on scalability and real-time processing capabilities.
Methodology and Tools:
- Proven track record of using Agile and SCRUM methodologies to drive successful project delivery in a dynamic development environment.
- Experience in developing data models for integration and analysis that support business intelligence and data analytics initiatives.
Any combination of education, training, and experience that provides the required knowledge, skills, and abilities to perform the essential functions of the job.
Preferred Qualifications
- Education: Master's Degree in Computer Science, Data Science, Information Technology or other quantitative disciplines such as Science, Statistics, Economics, or Mathematics.
- Experience with the Microsoft Azure technology stack or similar technologies in competing platforms.
- Practical knowledge of data analytics and visualization tools to aid in data-driven decision making and reporting.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.