Hiring: Senior Data Engineer (Apache Spark & Databricks) Company: Synechron Location: San Francisco Bay Area Job Posted Time: 2026-09-11 18:07:36 Target Skills & Keywords : AI, Blockchain, Compliance, Data Pipeline, Databricks, ELT, ETL, Event-Driven, REST, SQL, Salesforce, Spark About the job Experience: •20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. •5+ years of experience in software engineering, data engineering, integration engineering, or platform engineering roles. Required Skills: •Design, develop, and support data pipelines, integrations, and reusable technical capabilities across marketing technology platforms. •Build and maintain APIs, data services, and system integrations between marketing platforms, enterprise applications, and cloud-based data environments. •Partner with business and technology stakeholders to improve data quality, operational processes, governance controls, and platform performance. •Develop technical documentation, solution designs, architecture artifacts, and operational procedures. •Support platform modernization efforts, including automation, standardization, security, observability, and operational excellence. •Identify and resolve technology, data, and integration issues through root-cause analysis and remediation. •Establish and promote engineering best practices, technical standards, and governance processes. •Collaborate across architecture, security, risk, and delivery teams to ensure solutions align with enterprise standards and compliance requirements Qualifications: •Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent experience. •5+ years of experience in software engineering, data engineering, integration engineering, or platform engineering roles. •Strong experience developing and supporting distributed data processing solutions using Apache Spark, Databricks, or similar data engineering technologies. •Experience designing and implementing REST APIs, event-driven integrations, and enterprise integration patterns. •Proficiency in SQL and data modeling concepts. •Experience building and maintaining ETL/ELT pipelines and data transformation frameworks. •Experience working in cloud environmen Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!