Data Analytics Engineer
Spectraforce
Cupertino, California
3 hours ago
Job Description
Role: Data Analytics Engineer
Location: Cupertino, CA (Hybrid, TWT)
Duration: 3 + Months
Job Summary
As an Analytic Engineer on the team, you will build data and tools that enable analytics to inform product and engineering teams at scale, with the ultimate purpose of improving the product experience for customers. We are looking for people with a track record in building insights and relationships to aUect decisions.
Key Qualifications:
B.S., M.S., or PhD in Computer Science, Computer Engineering, Statistics, Bioinformatics, Applied Mathematics, Physics or equivalent practical experience
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 65.00/hr.
Location: Cupertino, CA (Hybrid, TWT)
Duration: 3 + Months
Job Summary
As an Analytic Engineer on the team, you will build data and tools that enable analytics to inform product and engineering teams at scale, with the ultimate purpose of improving the product experience for customers. We are looking for people with a track record in building insights and relationships to aUect decisions.
Key Qualifications:
- You have engineered metrics and statistical information out of massive and complex datasets (e.g. Hive, Spark MLlib, Druid, Solr, Kafka).
- You are fluent in at least one programming language (e.g. Python, Scala) and are comfortable developing code within a team environment (e.g. git, testing, code reviews).
- You have built robust data and analytic pipelines and have a keen eye for where to automate (e.g. Oozie, Airflow).
- You are self-motivated and curious with demonstrated creative and critical thinking capabilities and an innate drive to improve how things work.
- You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
- You can influence decisions with excellent verbal and written communications skills.
- You will partner closely with Data teams and engineering teams to build information from complex and high-volume logging coming out of software computational processes.
- Become an expert in software architecture and sources of data and help shape how products functionality is instrumented.
- Build data, visualization, and other analytic products with a drive to automate and scale the insights available to engineering teams.
- Develop microservices that enable easier, programmatic integration of analytics across the org.
- Build metadata and tools that support transparency and reproducibility around analytics.
B.S., M.S., or PhD in Computer Science, Computer Engineering, Statistics, Bioinformatics, Applied Mathematics, Physics or equivalent practical experience
Applicant Notices & Disclaimers
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At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 65.00/hr.