Senior Full Stack Engineer responsible for developing and integrating AI tools in a HealthTech startup, providing impactful solutions for therapists' workflows.
About the role
- Senior Software Engineer focusing on building scalable privacy solutions for Disney's media services. Collaborating cross-functionally to address complex privacy challenges using innovative technologies.
Responsibilities
- Contribute to developing full-stack applications as part of a unified platform and user experience
- Be a key player in a cross-functional team of engineers who build software for a large-scale data processing ecosystem, supporting real-time and batch data pipelines for analytics, data science, and operations.
- Contribute to architecture, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all data pipelines across the Data organization
- Contribute to architecture and build world class modularized tooling to understand our very complex environments to come up with plans for simplification, migration, and maintenance.
- Maintain software engineering and architecture best practices and standards within the team and wider organization, along with a culture of quality, innovation, and experimentation
- Evangelize and evolve the platform, best-practices, data driven decisions; identify new use cases and features and drive adoption
- Build out a robust observability, alerting, logging, and system control plane that allows easy diagnosis of any issues across all our data pipelines.
- Contribute to maintaining, updating, and expanding existing software deployments while maintaining strict uptime SLAs
- Maintain detailed documentation of your work and changes to support data quality and data governance requirements
- Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team
- Be a part of the magic: Collaborate with product managers, architects, UX designers, and other engineers to drive the success of the Foundational Platform
Requirements
- 5+ years of data engineering experience in software engineering in the data space
- Strong software algorithmic problem-solving expertise
- Strong fundamental Scala and Python software programming skills
- Good understanding of AWS or other cloud provider resources (S3)
- Strong SQL skills and ability to creatively problem solve and dive deep into our data and software ecosystem
- Hands-on production environment experience with distributed processing systems such as Apache Spark
- Hands-on production experience with workflow orchestration systems such as Airflow for creating and maintaining data pipelines
- Scripting language experience (Bash, PowerShell)
- Knowledge of event-driven systems, event buses, and graph databases (Kinesis, Neo4J)
- Experience with infrastructure-as-code (Terraform, Cloud Formation, etc.)
- Experience with Docker and Docker orchestration tooling (k8s, EKS, ECS, etc.)
- Experience developing and maintaining CI/CD environments
- Experience with front-end visualization of large data sets (d3, Linkurious)
- Experience with testing libraries (selenium, junit, jest)
- Technologies such as OneTrust, Databricks, Jupyter, Snowflake, Redshift, Airflow, DynamoDB, Redis, Kubernetes, Kinesis, REST APIs, Terraform, Go SQL, Python, Scala, other computer software languages
- Willingness and ability to learn and pick up new skillsets
- Self-starting problem solver with an eye for detail and excellent analytical and communication skills.
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package
- full range of medical, financial, and/or other benefits, dependent on the level and position offered
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