Deep Sync is the industry leader in deterministic identity. Leveraging our 35-year foundation of compiling direct mail-grade datasets, Deep Sync develops data-first technologies that power marketing, measurement, AI, and business intelligence for agencies and brands with our fully deterministic identity graph, privacy-first audiences, comprehensive data solutions, and integrations with leading platforms and cloud providers.
Position Overview
We are looking for a Data Engineer with a strong background in data engineering. The ideal candidate will play a critical role in designing, developing, and maintaining our data infrastructure.
Key Responsibilities:
Data Pipeline Development:
Design, implement, and maintain scalable data pipelines to collect, process, and store data from various sources.
Ensure data quality, accuracy, and consistency throughout the pipeline.
Data Integration:
Work closely with cross-functional teams to integrate data from diverse sources, including databases, APIs, and external data providers.
Develop and maintain ETL processes to transform and enrich raw data into actionable insights.
Performance Tuning:
Monitor and optimize the performance of data pipelines and databases to meet business requirements.
Identify and resolve bottlenecks and performance issues.
Requirements
Experience:
3+ years experience in SQL Query Design, SQL Performance Tuning and Query Optimization.
3+ years of relevant experience in Data Warehouse Design, Data Warehouse Technical Architectures, Development and Implementation.
3+ years of relevant experience in ETL Development, ETL Implementation, Unit Testing, Troubleshooting and Support of ETL Processes.
Knowledge and Skills:
Proficiency in SQL Query Design and Implementation.
Strong Experience with Relational Data Warehouse Systems.
Data Warehouse Management Systems.
Optimization by Indexing, Partitioning and Denormalization.
Strong Ability to build and optimize data sets, ‘big data’ data pipelines and architecture.
Programming skills in languages such as Python, Java, or C# required.
Strong analytical and problem-solving skills.
Location:
Hybrid to Kirkland, WA ( Tu-Th in office)
Benefits:
Salary $80,000 - $120,000, commensurate with experience and expertise.
Data Engineer (Hybrid)