Senior Data Engineer - Spark, Databricks & Data Pipelines

Synechron; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Synechron seeks a Senior Data Engineer to support a large-scale Data and Marketing Technology transformation within a complex enterprise environment. You will design scalable data pipelines, data models, and integration solutions across cloud platforms, with strong focus on Spark and Databricks.

The role involves building REST APIs and data services, collaborating with business and tech stakeholders to improve data quality, governance, and platform performance.

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.
• Experience with 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 environments and modern data platforms.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent written and verbal communication skills.

Responsibilities

• 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, governance, 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 with architecture, security, risk, and delivery teams to ensure compliance with enterprise standards.

Skills

Apache Spark/Databricks

SQL

Data Modeling

REST APIs

Distributed data processing

Cloud environments

ETL/ELT pipelines

Problem solving

Written/Verbal communication

Education

Bachelor's degree in Computer Science/Engineering or equivalent

Tools

Databricks

Azure/AWS/Google Cloud

Job description

Synechron seeks a Senior Data Engineer to support a large-scale Data and Marketing Technology transformation within a complex enterprise environment. You will design scalable data pipelines, data models, and integration solutions across cloud platforms, with strong focus on Spark and Databricks.

The role involves building REST APIs and data services, collaborating with business and tech stakeholders to improve data quality, governance, and platform performance.