Data Engineer (Cupertino)

Title: Data Engineer IILocation: Cupertino, CADuration: 12-month contractMode: Hybrid (3days onsite)Role OverviewWe are seeking a skilled Data Engineer (Software) with strong expertise in designing and implementing scalable data pipelines and modern data infrastructure. This role requires a blend of data engineering and infrastructure engineering capabilities, with hands-on experience managing containerized workflows in Kubernetes and Docker.The ideal candidate will contribute to the development, deployment, and optimization of reliable data systems that support analytics, reporting, and data-driven decision-making in a cloud-based environment.Key Technical SkillsSQLPythonBash / Shell ScriptingApache SparkApache AirflowSnowflakeDBTAWS S3KubernetesDockerCI/CD PipelinesGitHubDevOps PracticesKey Requirements2–5 years of professional experience in Data Engineering, Software Engineering, or Analytics EngineeringStrong proficiency in SQL and Python, with working knowledge of Bash/Shell scriptingHands-on experience building and maintaining data pipelines using:Apache SparkApache AirflowSnowflakeAWS S3Proven experience with Kubernetes and Docker, including deployment, management, and troubleshooting of containerized workloadsFamiliarity with CI/CD pipelines, version control (GitHub), and DevOps best practicesExperience with monitoring, automation, and improving system reliability in cloud environments (AWS preferred)Strong understanding of data modeling, data warehousing, and distributed data systemsAbility to effectively bridge data engineering and infrastructure responsibilitiesResponsibilitiesDesign, develop, and maintain scalable ELT/ETL pipelines using SQL and PythonBuild and optimize distributed data processing workflows using Spark and AirflowDeploy, manage, and monitor containerized data services using Kubernetes and DockerDevelop and maintain data infrastructure solutions on AWS, including S3-based data storage systemsImplement and enhance CI/CD pipelines to support automated deployment and delivery of data servicesEnsure system reliability through monitoring, logging, alerting, and performance optimizationCollaborate with cross-functional teams to deliver robust, well-documented data solutionsSupport urgent data requests, reporting needs, and ad-hoc analytical requirements as neededEducationMaster's degree in Computer Science, Engineering, Data Science, or a related field preferred(or equivalent professional experience)Russell Tobin offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.Applicant Privacy DisclosureWe collect personal information from applicants during the recruiting, pre-offer, and offer process.During the recruiting, pre-offer process and offer process, we may collect the following categories of personal information:Identifiers, such as name, address, and email address.Professional and Employment-Related Information, such as resume, work history, education, and qualifications.Information Voluntarily Provided by You in connection with the recruiting and pre-offer process.Sensitive Personal Information, where legally permitted and necessary, such as Social Security number and date of birth.Personal information is collected and used for the following business purposes: evaluating qualifications and eligibility for employment; communication regarding the recruitment and application process; verifying eligibility for employment; and complying with applicable legal, regulatory, and contractual obligations.Personal information is collected and used only as necessary, and we are committed to data minimization, privacy, and providing equal employment opportunities. We are an international organization, and personal information may be accessed or processed by authorized personnel or service providers located outside the United States, subject to appropriate safeguards. We restrict use and access to personal information to authorized personnel and service providers with confidentiality and data security obligations. We maintain administrative, technical, and physical safeguards designed to protect personal information from unauthorized access, use, or disclosure.For information about our privacy practices, please review our Privacy Policy at:If you do not consent to the collection of such personal information, please advise us immediately in writing at datasecurity@prideglobal.comPride GlobalWith our global network of specialized firms, we offer human resources and workforce solutions that ensure compliance and drive business success.