How Remoteville checks and expires listings
Data Engineer II
Skills
Computer ScienceData EngineeringAnnotationApache SparkBusiness RequirementsData AnalyticsData Pipelines
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- A minimum of 10 years of directly related working experience
- Experience with large digital delivery projects
- Experience with large APIs
- Ability to obtain required security clearance: Public Trust
- Current or prior experience in government contracting space
- Strong analytical and problem-solving skills with attention to detail
- Experience with Machine Learning and Deep Learning Tools and Software
- Experience in statistics, data processing, or data annotation
- Proficiency with programming languages like Python, R, SAS, and/or Java
- Experience with data analysis tool like Hadoop, Apache Spark, or cloud-provider equivalents
- Effective written and oral communication skills to communicate insights extracted from the data
- Ability to understand and respond to customer needs and collaborate as part of a cross-functional team
- Ability to operate and manage work, strategically reason, and build relationships and influence others
Nice to have
- 2 years working with Azure infrastructure
- 2 years working with Databricks, Postgres SQL, Power BI
- BS in Computer Science, Data Analytics, Data Science, IT, EE, CE, or similar technology-related degree
Day to day
- Architect, build, and maintain scalable tooling and infrastructure for managing data in a system
- Build automated data pipelines, manage data storage, and create systems to make data available to users
- Support the team by performing tasks like data analysis, interpretation, extraction, formatting, labeling, cleaning, transformation, reduction, discretization, annotation, loading, and processing
Hiring process
- Introductory interview with recruiter
- Technical interview with technical team
- Business interview with Fearless leadership
