Job Title: Data Engineer (SW)
Location: Cupertino, CA (Hybrid Schedule)
Duration: 9 Months (Poss. of Extn.)

Keywords: Snowflake, Python, Shell, Unix, SQL, Database, Tableau, GitHub, Spark, Bash

Key Qualifications:

• 2–5 years of experience in data engineering, software engineering, or data analytics roles. Proficient in SQL and Python; comfortable with Bash or shell scripting.
• Hands-on experience with modern data tooling: 
  • Spark for large-scale data processing
  • Airflow for workflow orchestration, Snowflake and DBT for data transformation and modeling
  • AWS S3 for data storage and movement
  • Docker and Kubernetes for containerization and deployment workflows
  • Jupyter Notebooks for collaborative data exploration and documentation
• Familiarity with Git-based CI/CD pipelines and collaborative code development.
• Solid understanding of data warehousing, data modeling, and working with big data ecosystems.
• Foundational knowledge of statistics, including mean, median, standard deviation, and variance.
• Strong problem-solving skills with the ability to break down complex issues into manageable components.
• Committed to good software engineering practices such as testing, documentation, and code quality checks.
• Able to clearly communicate technical concepts to both technical peers and non-technical stakeholders.
• Familiarity with battery systems or electrical engineering is a plus, but not required.

Job Description:

• As a Data Engineer, you will design, build, and maintain scalable ELT pipelines using SQL and Python.
• Work across the full data lifecycle — from ingestion and transformation to model deployment and reporting.
• Collaborate with data scientists, engineers, and product managers to deliver clean, reliable, and well-documented data.
• Implement and manage workflows using Airflow, while ensuring traceability and version control via GitHub.
• Support transformation logic and data modeling using DBT, with data housed primarily in Snowflake.
• Use Jupyter Notebooks and ad-hoc analysis to support business questions and drive actionable insights.
• Build tools to monitor, validate, and test data pipelines, ensuring high availability and quality.
• Contribute to automation efforts, improving the team’s efficiency and reducing manual work.
• Provide occasional support for urgent data reporting needs.
• Engage constructively with both technical and non-technical colleagues to ensure data solutions align with business goals.

Education:

• MS or Ph.D. in Computer Science, Software Engineering, Statistics, Electrical Engineering, Battery Engineering, or related technical field.
• Certifications in Six Sigma (CSSBB) or Quality Engineering (CQE) are a plus but not required.

 

 


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: $60.00/hr.