Data Engineer

- Experience creating dashboards and supporting reporting workflows (BI tools) for both internal and external audiences - Understanding of data modeling and working with large-scale datasets (batch and streaming) - Strong hands-on experience with Databricks, AWS (S3, Glue, Athena, EMR, etc.), and Kafka - 6+ years of experience in data engineering or a related field - Familiarity with reverse ETL / data activation workflows and syncing data to tools like Salesforce, HubSpot, Braze - Experience building and maintaining ETL/ELT pipelines (DBT/Airflow or similar experience preferred) - Strong communication skills and ability to work collaboratively across teams - Proficiency in Python (PySpark) and SQL for large-scale data processing - Strong problem-solving skills and ability to debug production data issues - Experience with data ingestion tools such as Fivetran (or similar) - Experience working with Finance and building finance specific metrics and pipelines - Familiarity with agent-based systems, MCP integrations, or LLM-powered applications - Exposure to or experience with AI/ML data pipelines, including RAG architectures, vector databases, or embeddings workflows Join our team as a Data Engineer and help build and scale our modern data platform. You will work closely with various teams to develop reliable, high-performance data pipelines and systems. Your role will involve both batch and real-time data processing, ensuring data quality, accessibility, and usability across…