Job Description
Data Developer
📍 San Diego, CA (Onsite / Hybrid)
We are seeking a highly skilled Data Developer to join our team in San Diego. The ideal candidate will be passionate about data engineering, experienced in building scalable ETL pipelines, and comfortable working in modern big data ecosystems. You’ll work closely with cross-functional teams to design, develop, and optimize pipelines that power critical business insights.
Responsibilities :
- Design, develop, and maintain robust ETL / data pipelines for large-scale datasets
- Work with Python, SQL, and PySpark to process structured and unstructured data
- Develop solutions within big data ecosystems, data lakes, and streaming datasets
- Leverage AWS (Redshift, Athena, and related services) and Databricks to deliver scalable solutions
- Collaborate with analysts, data scientists, and business stakeholders to translate requirements into technical specifications
- Drive continuous improvements in data engineering best practices, performance, and scalability
Required Qualifications :
8+ years of hands-on experience building and maintaining ETL / data pipelinesStrong proficiency in Python and SQLExpertise with PySpark and big data ecosystemsExperience with data lakes and streaming data processingFamiliarity with AWS cloud services (Redshift, Athena, and core concepts)Hands-on experience with DatabricksNice to Have :
Experience working with clickstream dataProven ability to create clear technical specifications and deliver solutions from requirementsStrong communication and collaboration skillsProactive learner with a passion for driving continuous improvement