Senior Data Engineer - Identity Team

New
U
UppeopleHealthcare Marketing SaaS
Ukraine, EU timezones for syncsFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English: B2+ (Upper-Intermediate) or higher
Experience
4-5+ years of experience
Required Skills
PostgreSQLPythonGCPKubernetesSparkBigQueryLLMNetworking

Requirements

  • 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus
  • Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API
  • Understanding of latency, token limits, and how to structure data for AI scoring
  • Expertise in GCP (Cloud Functions, IAM, Networking)
  • Strong Python for clean, efficient, and testable code
  • Experience with BigQuery
  • Experience with Apache Spark
  • Experience with Apache Iceberg
  • Kubernetes (K8s) for deploying and scaling services
  • Understanding of workflow orchestration tools, familiarity with N8N
  • PostgreSQL Mastery for heavy write/read loads and optimizing schemas
  • English: B2+ (Upper-Intermediate) or higher

Responsibilities

  • Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time
  • Integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost
  • Architect scalable data solutions using GCP and Python
  • Manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data
  • Utilize Apache Spark for data transformations and batch processing
  • Maintain and optimize our system instances for 10k+ executions/minute
  • Take ownership of the deployment process, ensuring safe releases with testing and rollback strategies
  • Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies
  • Use Claude Code and other AI engineering tools to accelerate development, refactoring, and testing
  • Proactively monitor the system and investigate/fix root causes of incidents
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