Analytics Engineer

• Develop REST API integrations and data pipelines for ingestion and transformation
• Build and maintain data processing solutions using Python (Pandas, Jupyter)
• Store and manage data in MS SQL databases
• Develop interactive dashboards and data visualizations using Streamlit and Plotly
• Deploy solutions using CI/CD pipelines and containerization (Podman, VHS environment)

Senior Data Engineer / Analyst

• Design and operate reliable data pipelines using Python and SQL to ingest and transform interaction data from voice and text channels.
• Manage the data lifecycle within our core databases: PostgreSQL for structured application data and Elasticsearch for search and retrieval.
• Build and maintain scalable dbt projects to transform raw logs into high-quality, governed data models.
• Act as a Data Analyst expert: collaborate with stakeholders to define key performance indicators (KPIs) like resolution rates, intent accuracy, and cost-per-interaction.
• Build and maintain business-facing dashboards in Looker and internal data applications in Streamlit.
• Translate complex technical traces into actionable insights for the product and business teams.
• Own the "Retrieval" layer: optimize how data is indexed and queried in Elasticsearch to improve AI response context.
• Develop the pipelines that manage chunking, metadata tagging, and context window optimization.
• Instrument our data stack and AI services with Prometheus and Grafana to monitor system health, latency, and pipeline reliability.
• Ensure proactive alerting for data quality issues or service degradations.

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Senior Data Engineer / Analyst

Data & Analytics Engineer – AI Platform