Data Engineering & Analytics

Job ID: SRJ_7861Location: Cupertino, CA; Austin, TX; Seattle , WASalary: USD 125-130 / Yearly (Full Time) | USD 63-68 / Hourly (C2C)Employment Type: C2C, Full TimeCompany: SRI Tech SolutionsJob Title: Data Engineering & AnalyticsLocation: Cupertino, CA (Hybrid) / Austin, TX / Seattle, WAAbout the Role:We build data systems that power innovation at scale. The Data Engineering team partners with analytics, finance, and product organizations to design and build next-generation data platforms that enable critical business and customer insights.We are seeking a Software Engineer with strong SQL and Python skills to develop reliable data pipelines, optimize complex workflows, and deliver scalable data products that empower decision-making across Apple’s ecosystem.Key Responsibilities:Design, build, and optimize ETL/ELT data pipelines using Python, SQL, and modern orchestration tools.Develop and maintain data models, APIs, and microservices that enable analytical and operational use cases.Work closely with cross-functional partners (Data Science, Product, Finance, and Operations) to translate business needs into engineering solutions.Apply software engineering best practices (version control, CI/CD, testing, observability) to data workflows.Optimize data quality, scalability, and latency across distributed systems (Snowflake, Spark, Databricks, etc.).Participate in architecture discussions on data warehousing, event streaming, and ML data pipelines.Ensure compliance with Apple’s privacy, security, and governance standards in all data operations.Minimum Qualifications:Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.3–7 years of experience in software or data engineering.Advanced proficiency in Python (Pandas, PySpark, or similar frameworks).Strong SQL expertise — ability to write and optimize complex queries and stored procedures.Proven experience with data modeling, schema design, and performance tuning.Experience building or orchestrating workflows using Airflow, Dagster, or similar tools.Solid understanding of APIs, CI/CD pipelines, Git, and containerization (Docker/Kubernetes).SRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.