Data Engineer, Analytics

Job ID: SRJ_7861Posted: Location: Cupertino, CA; Austin, TX; Seattle , WASalary: USD 125-130 / Yearly (Full Time) | USD 63-68 / Hourly (C2C)Employment Type: Full TimeClient: TechMContact: Meghana GorusuCompany: 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 aSoftware Engineerwith strongSQLandPythonskills 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 optimizeETL/ELT data pipelinesusing Python, SQL, and modern orchestration tools.Develop and maintaindata models, APIs, and microservicesthat 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.Applysoftware 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 ondata 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 degreein Computer Science, Engineering, or a related technical field.3–7 years of experiencein software or data engineering.Advanced proficiency inPython(Pandas, PySpark, or similar frameworks).StrongSQLexpertise — ability to write and optimize complex queries and stored procedures.Proven experience withdata modeling, schema design, and performance tuning.Experience building or orchestrating workflows usingAirflow, Dagster, or similar tools.Solid understanding ofAPIs, 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.