Senior Engineer, Data
Requirements at a glance
Senior Engineer, Data at Bellese is a full-time role based in United States. The posting asks for a bachelor's degree. It states that visa sponsorship is not available. It lists a Public Trust clearance requirement. Key skills include Python, Spark, and Agile. Applications are submitted through Lever.
- Education
- Bachelor's degree
- Visa sponsorship
- Not offered
- Security clearance
- Public Trust
- Application platform
- Lever
Skills in this posting
- Python
- Spark
- Agile
- AWS
- Databricks
- Excel
- Customer service
Highlighted skills appear in the posting's requirements.
From the employer
- Remote location rules:
Remote First, Remote Only Culture
Extracted automatically from the job description. Confirm details in the full posting below.
As an Engineer II:
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Influence: Making an impact on one or more projects or products.
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Technology: Highly proficient in one or more technologies within the Software Engineering discipline. Particularly skilled in one or more technologies.
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System: Reliably scopes, estimates, designs, and delivers medium-to-large features while reducing the technical debt of one or more projects or products.
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People: Proactively supports other team members and helps them to be successful.
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Process: Follows the team processes, delivering a consistent flow of features to production.
These are the types of things you’ll be working on
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Leverage test-driven development to deliver backend systems and user interfaces to ease development and integration between them.
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Contribute to the development of APIs, specifications, and data models, facilitating integration with frontend applications and third-party systems.
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Design, implement, and maintain data interactions. Optimize data operations for performance and scalability, and ensure data integrity and security.
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Design and develop user interfaces, informed by UX designs that meet customer needs.
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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