About The Position

Solvd Inc. is hiring a Senior Data Engineer to join a small, cross-functional engineering team modernizing a data platform for a global financial services client. The role is hands-on with Snowflake and dbt, designing data models, migrating legacy Oracle-based ETL processes, and contributing to architectural decisions with client stakeholders. This delivery-oriented position provides ownership of assigned components from end to end. The engineer will participate in client-facing technical discussions and work with engineering and business teams to define and implement solutions.

Requirements

  • Strong hands-on experience with Snowflake, including data transformation, modeling, and performance optimization.
  • Solid understanding of data modeling principles, data architecture, and scalable data solution design.
  • Practical experience with dbt for developing and maintaining data transformation workflows.
  • Proficiency in Python for data engineering, scripting, and automation.
  • Experience with ETL/ELT processes and modern data pipeline development.
  • Familiarity with DevOps practices and containerized environments, including Kubernetes.
  • Strong analytical and troubleshooting skills related to data quality, performance, and reconciliation.
  • Good communication skills and ability to collaborate directly with client stakeholders and participate in regular technical discussions with US-based teams.
  • English proficiency sufficient for regular technical discussions with US-based teams.

Nice To Haves

  • Experience with Oracle databases, Oracle ETL, and legacy reporting environments.
  • Prior involvement in data platform modernization or migration from Oracle to Snowflake.
  • Experience with Power BI and semantic reporting models.
  • Snowflake professional certification.
  • Experience designing and optimizing analytical data models for enterprise reporting.
  • Experience working with distributed, cross-functional engineering teams.
  • Background in insurance, reinsurance, or financial services.
  • Availability for occasional business trips to St. Louis, USA, approximately once every three weeks for one to two days.

Responsibilities

  • Design, develop, and optimize data models and transformation workflows using Snowflake and dbt.
  • Contribute to the design and implementation of scalable data architecture spanning raw through semantic data layers.
  • Support modernization of existing Oracle-based ETL and reporting processes.
  • Investigate and address data performance, consistency, and reconciliation challenges.
  • Develop and maintain data processing, transformation, and automation solutions using Python.
  • Participate in solution design discussions and contribute to architectural decisions.
  • Support DevOps activities, including deployment, configuration, and operational aspects of the data platform.
  • Take ownership of assigned technical components and deliverables within the team.
  • Participate in client-facing technical discussions and project meetings.

Benefits

  • Opportunity to shape real-world AI-driven projects across key industries, from startup innovation to enterprise transformation.
  • Global team offering opportunities for collaboration across continents and cultures.
  • Inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service