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Bellese Technologies
Posted 2 days agoVerified live 1d ago

Senior Engineer, Data

Brief overview

Remote
UndergradOr in progress
4+ yrsMinimum
PythonApache SparkData ModelingETLDistributed ComputingSoftware Design PatternsData Structures and AlgorithmsAgile DevelopmentData ExtractionDatabase and Data Warehouse QueryingData AnalysisCI/CD PipelinesAWSRDatabricksSAS

Job description

Summary

Bellese Technologies is a mission-driven digital services company developing innovative technology solutions for civic healthcare. The Senior Engineer, Data role designs and delivers backend systems, APIs, data models, data interactions, user interfaces, and automated testing solutions that support healthcare-related products and integrations.

Responsibilities

  • Making an impact on one or more projects or products
  • Highly proficient in one or more technologies within the Software Engineering discipline. Particularly skilled in one or more technologies
  • Reliably scopes, estimates, designs, and delivers medium-to-large features while reducing the technical debt of one or more projects or products
  • Proactively supports other team members and helps them to be successful
  • Follows the team processes, delivering a consistent flow of features to production
  • 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

Skills

  • 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
  • US Citizenship or Green Card only - we do not offer Sponsorship
  • US Residency for at least the past 3 years
  • AWS Experience (S3, EC2, Glue, Lambda, etc)
  • R experience
  • Professional Databricks/Apache Spark Certification(s)
  • SAS experience
  • AWS Experience (S3, EC2, Glue, Lambda, etc)
  • R experience
  • Professional Databricks/Apache Spark Certification(s)
  • SAS experience

Qualifications

Must Haves

  • 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
  • US Citizenship or Green Card only - we do not offer Sponsorship
  • US Residency for at least the past 3 years

Nice to Haves

  • AWS Experience (S3, EC2, Glue, Lambda, etc)
  • R experience
  • Professional Databricks/Apache Spark Certification(s)
  • SAS experience
  • AWS Experience (S3, EC2, Glue, Lambda, etc)
  • R experience
  • Professional Databricks/Apache Spark Certification(s)
  • SAS experience

Benefits

  • Remote First, Remote Only Culture
  • Four weeks paid time off yearly (prorated based on start date for the first year)
  • 10 paid floating company holidays
  • Flexible schedule
  • Work from home setup including a Macbook
  • Collaborative, learning environment
  • Medical, dental, and company-paid vision insurance
  • Optional HSA account with some medical plans and a company contribution
  • Company paid basic life and AD&D insurance coverages
  • Company paid short and long term life insurance
  • Optional critical illness and accident insurance
  • 401K plan with 3% safe harbor contribution
  • Wellness resources and virtual care
  • Perks Plus employee discounts

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