Data Engineer (AWS, Azure, GCP)

Overview CapTech seeks a Cloud Data Engineer who builds scalable data pipelines and data products across AWS, Azure, or GCP. You work closely with clients and cross-functional teams to translate data into actionable insights, shaping architecture and data flows for decision-makers. You’ll apply engineering best practices to solve complex data problems and help clients scale their data capabilities. This role combines hands-on cloud data work with advisory collaboration to maximize data value. Compensation / Benefitscomprehensive benefits packagegenerous PTOhealth coveragedisability insurancepaid family leaveflexible work environment with remote options ResponsibilitiesDevelop data pipelines and data products on cloud platforms (AWS, Azure, GCP)Advise clients on technologies and methodologies for efficient data ingestion and processingApply engineering best practices to solve complex data problemsCollaborate with end users, developers, and business analysts to maximize data valueArticulate architectural trade-offs between solution methods and their pros/cons Key requirementsExperience delivering solutions on a major cloud platformAbility to relate architectural decisions to business needs and client cultureDesign and implementation experience of data architecture solutionsStrong production database experience with SQL, scripting pipelinesAbility to deliver production data pipelines and data productsHands-on experience, degree, certification, bootcamp, or equivalent learningcollaborationcommunicationstrategic thinkingLanguages: SQL, Python, Java, R, C# / C++ / CDatabases: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, OracleDevOps: git, docker, subversion, Kubernetes, Jenkins