• Data Engineer (SW) As a Data Engineer, candidate 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 welldocumented 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 adhoc 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 nontechnical colleagues to ensure data • solutions align with business goals. Key Qualifications: • 2 to 5 years of experience in data engineering, software engineering, or data analytics roles. • Proficient in SQL and Python; comfortable with Bash or shell scripting. • Handson experience with modern data tooling: • Spark for largescale 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 Gitbased 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 problemsolving 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 nontechnical stakeholders. • Familiarity with battery systems or electrical engineering is a plus but not required. 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. Note: • Location: Cupertino, CA • Onsite/Offsite: Onsite (Hybrid Schedule) • Keywords: Snowflake, Python, Shell, Unix, SQL, Database, Tableau, GitHub, Spark, Bash, Pay Range: $62/hr on W2 - $67/hr on W2 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. client’s full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.