About the job 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 an interest in semantic search enhancements to real-world problems.
Responsibilities
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Own and maintain our data pipelines using AWS Glue (PySpark) and S3
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Process and manage large-scale datasets stored in Elasticsearch and MongoDB
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Build and optimize workflows for data transformation, cleaning, and normalization
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Improve the performance and relevance of our search system through algorithmic tuning and semantic enhancements (e.g., LLMs, DeepL, embeddings)
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Monitor data quality, handle schema evolution, and ensure operational stability
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Collaborate with backend and product teams to ensure fast, reliable, and accurate data-driven features
Must-Have Skills
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Solid experience with AWS data engineering tools (Glue, S3, Lambda)
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Strong knowledge of Elasticsearch (query design, aggregations, performance tuning)
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Proficiency in Python, especially with PySpark and Pandas
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Experience with data quality, schema evolution, and pipeline monitoring
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Familiarity with LLMs, embeddings, or search ranking improvements is a plus
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Previous experience with B2B datasets, contact enrichment, or lead intelligence is highly valuable
Why Join
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Shape the tech direction and build from the ground up
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Collaborate closely with the founder on product execution
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Work with real user feedback and fast iteration cycles
Interview Process
- HR Interview
- Code Task
- Cultural Fit Interview
- Technical Interview
Benefits
- 100% remote
- Competitive salary in USD
- PTO (vacation, sick leave, holidays)
- International experience
- Udemy trainings covered
- $200 for home-office equipment