Senior Data Engineer

We are looking for a skilled Data Engineer to own and scale our data processing pipelines and search infrastructure. This role is ideal for someone with strong AWS and Elasticsearch expertise, a passion for clean data, and the ability to think deeply about data architecture, scalability, and distributed systems — not just implement pipelines, but design robust foundations for growth and search performance in real-world applications.



Responsibilities

• Own and maintain our data pipelines using AWS Glue (PySpark) and S3
• Process and manage large-scale datasets stored in Elasticsearch and MongoDB
• Build and optimize workflows for data transformation, cleaning, and normalization
• Improve the performance and relevance of our search system through algorithmic tuning and semantic enhancements (e.g. LLMs, DeepL, embeddings)
• Monitor data quality, handle schema evolution, and ensure operational stability
• Collaborate with backend and product teams to ensure fast, reliable, and accurate data-driven features
• Contribute to data architecture and system design decisions, with a focus on scalability, maintainability, and distributed processing

Must-Have Skills

• Solid experience with AWS data engineering tools (Glue, S3, Lambda)
• Strong knowledge of Elasticsearch (query design, aggregations, performance tuning)
• Proficiency in Python, especially with PySpark and Pandas
• Experience with data quality, schema evolution, and pipeline monitoring
• Experience with Kafka or other streaming systems
• Strong understanding of data architecture, data modeling, and scalable system design
• Ability to reason about distributed data systems and build solutions that scale reliably

Nice-to-Have 

• Experience with CDC pipelines (Debezium or similar)
• Experience designing distributed data platforms
• Familiarity with LLMs, embeddings, or search ranking improvements
• Previous experience with B2B datasets, contact enrichment, or lead intelligence

Why Join

• Shape the tech direction and build from the ground up
• Collaborate closely with the founder on product execution
• Work with real user feedback and fast iteration cycles

Interview Process

1. HR Interview
2. Cultural Fit Interview
3. Technical Interview

Benefits

• 100% remote
• Competitive salary in USD
• PTO (vacation, sick leave, holidays)
• International experience
• Udemy trainings covered
• $200 for home-office equipment