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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer (Apache Spark & Databricks) - **Company:** Synechron Inc - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Big Data, Cloud Computing, Cloud Database, Continuous Integration, Customer Data Management, Data as a Services, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Systems, Distributed Computing Environment, Cloud Services, Software Engineering, SQL Databases, Systems Integration, Enterprise Data Management, Enterprise Application Integration, Enterprise Software Applications, Cloud Platform System, Azure Data Factory, System Availability, Apache Spark, Infrastructure Automation Frameworks, Information Technology, Enterprise Integration, Restful APIs, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** August 31, 2026 - **Apply:** https://www.disabledperson.com/jobs/74614246-senior-data-engineer-apache-spark-databricks ## About the Role We are seeking an experienced Senior Data Engineer to support a large-scale Data and Marketing Technology transformation initiative within a complex enterprise environment. The primary focus of this role is Data Engineering, with strong hands-on expertise in Apache Spark/Databricks, SQL, and Data Modeling. The engineer will design and develop scalable data pipelines, transformation frameworks, and integration solutions across enterprise applications and cloud-based data platforms. The role will also involve REST APIs and system integrations as part of building end-to-end data solutions. Experience with marketing technology platforms such as Salesforce Marketing Cloud (SFMC) is beneficial but not required, * 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 environments and modern data platforms. * Strong analytical, troubleshooting, and problem-solving skills. * Excellent written and verbal communication skills Preferred Qualifications * Experience with Salesforce Marketing Cloud (SFMC), including data extensions, automation frameworks, journeys, APIs, and platform administration. * Experience with AMPscript, SSJS, Automation Studio, Cloud Pages, or related SFMC technologies. * Experience with Azure Databricks, Synapse Analytics, Azure Data Factory, or similar cloud-native data platforms. * Experience designing scalable enterprise data and integration architectures. * Understanding of security, risk, compliance, and governance requirements within regulated environments. * Experience supporting large-scale customer engagement, digital marketing, or customer data platforms. * Knowledge of CI/CD, infrastructure automation, monitoring, and operational support practices. Success Factors * Ability to independently drive complex technical initiatives from analysis through implementation. * Strong partnership and influence skills across business and technology stakeholders. * Focus on operational excellence, platform reliability, and sustainable engineering practices. * Proven track record of delivering scalable solutions in complex enterprise environments. ## Description * 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 ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)