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Part-time Data Engineer
Skills
Computer ScienceAdoptionComplex SystemsContinuous ImprovementData AnalyticsData WarehousingModeling
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in computer science data science business technology or related field or equivalent experience
- 3+ years of hands-on experience designing building and maintaining data pipelines and data platforms in production environments
- Strong proficiency in SQL Python or R for data transformation analysis and pipeline development
- Experience designing and implementing cloud-based data architectures using modern data warehouses such as Snowflake or Databricks
- Experience working with relational and non-relational data stores including SQL and NoSQL
- Experience building data solutions that support analytics business intelligence and AI ML use cases
- Familiarity with data quality reliability and governance practices including validation lineage and access controls
- Ability to collaborate within and across teams with different technical knowledge
- Strong problem-solving and debugging skills in complex data systems
- Ability to clearly communicate technical concepts and tradeoffs to technical and non-technical audiences
- Prior experience with Workday and Salesforce is highly preferred
Nice to have
- Curious
- Builder mindset
- Detail-oriented
- Collaborative
- Security minded
- Clear communicator
Day to day
- Design and develop scalable data pipelines that integrate information from multiple sources and store it in efficient repositories
- Build and optimize data transformations for analytics AI and machine learning use cases including feature engineering and workflow automation
- Partner with analysts data scientists and stakeholders to improve data quality governance documentation and delivery of trusted data products