- Bellese
- United States,
- Full-Time
- 8 days ago
Senior Engineer, Data.
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Senior Engineer, Data: our view in 3 lines...
- The Role:This role is for a data engineer contributing to digital services and technology solutions intended to improve public health outcomes.
- The Person:The person will develop backend systems and user interfaces, contribute APIs and data models, maintain and optimize data interactions, and support automated testing.
- Requirements:The ideal candidate has experience with Python, Apache Spark, data modeling, ETL, orchestration, distributed computing, Agile development methodologies, and CI/CD pipelines.
About the role
As an Engineer II:
-
Influence: Making an impact on one or more projects or products.
-
Technology: Highly proficient in one or more technologies within the Software Engineering discipline. Particularly skilled in one or more technologies.
-
System: Reliably scopes, estimates, designs, and delivers medium-to-large features while reducing the technical debt of one or more projects or products.
-
People: Proactively supports other team members and helps them to be successful.
-
Process: Follows the team processes, delivering a consistent flow of features to production.
These are the types of things you’ll be working on
-
Leverage test-driven development to deliver backend systems and user interfaces to ease development and integration between them.
-
Contribute to the development of APIs, specifications, and data models, facilitating integration with frontend applications and third-party systems.
-
Design, implement, and maintain data interactions. Optimize data operations for performance and scalability, and ensure data integrity and security.
-
Design and develop user interfaces, informed by UX designs that meet customer needs.
-
Understand and contribute to functional and non-functional automated testing suites.
- Bachelor's degree in Computer Science, Computer Engineering or related field
- Strong experience with Python / Apache Spark
- Solid understanding of data modeling, ETL process, Orchestration, and distributed computing
- Strong understanding of software design patterns, data structures, and algorithms
- Experience with Agile development methodologies
- Ability to work independently as well as in a team
- Strong problem-solving and analytical skills
- Strong verbal and written communication skills
- Related experience in analytic programming, data extraction, querying databases/data warehouses and data analysis.
- Experience utilizing CI/CD Pipelines
- AWS Experience (S3, EC2, Glue, Lambda, etc)
- R experience
- Professional Databricks/Apache Spark Certification(s)
- SAS experience
As an Engineer II:
-
Influence: Making an impact on one or more projects or products.
-
Technology: Highly proficient in one or more technologies within the Software Engineering discipline. Particularly skilled in one or more technologies.
-
System: Reliably scopes, estimates, designs, and delivers medium-to-large features while reducing the technical debt of one or more projects or products.
-
People: Proactively supports other team members and helps them to be successful.
-
Process: Follows the team processes, delivering a consistent flow of features to production.
These are the types of things you’ll be working on
-
Leverage test-driven development to deliver backend systems and user interfaces to ease development and integration between them.
-
Contribute to the development of APIs, specifications, and data models, facilitating integration with frontend applications and third-party systems.
-
Design, implement, and maintain data interactions. Optimize data operations for performance and scalability, and ensure data integrity and security.
-
Design and develop user interfaces, informed by UX designs that meet customer needs.
-
Understand and contribute to functional and non-functional automated testing suites.
- Bachelor's degree in Computer Science, Computer Engineering or related field
- Strong experience with Python / Apache Spark
- Solid understanding of data modeling, ETL process, Orchestration, and distributed computing
- Strong understanding of software design patterns, data structures, and algorithms
- Experience with Agile development methodologies
- Ability to work independently as well as in a team
- Strong problem-solving and analytical skills
- Strong verbal and written communication skills
- Related experience in analytic programming, data extraction, querying databases/data warehouses and data analysis.
- Experience utilizing CI/CD Pipelines
- AWS Experience (S3, EC2, Glue, Lambda, etc)
- R experience
- Professional Databricks/Apache Spark Certification(s)
- SAS experience

