Senior Data Engineer (Snowflake)

Solvd; St. Louis (MO); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Solvd in St. Louis is seeking a Senior Data Engineer to modernize a global data platform for a financial services client, working hands-on with Snowflake, dbt, and Python to model data and migrate legacy Oracle ETL.

You will own components end-to-end, participate in client-facing technical discussions, and collaborate with US-based teams to deliver scalable, reliable data solutions. This delivery-focused role emphasizes end-to-end ownership, architecture input, and collaboration across

Formación

• Hands-on Snowflake data transformation and modeling.
• Strong 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 around data quality, performance, and reconciliation.
• Good communication skills — able 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.

Responsabilidades

• Design, develop, and optimize data models and transformation workflows using Snowflake and dbt.
• Contribute to the design and implementation of scalable data architecture covering 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-related activities including deployment, configuration, and operational aspects of the data platform.
• Take ownership of assigned technical components and deliverables within the team.
• Participate actively in client-facing technical discussions and project meetings.

Conocimientos

Snowflake

Data modeling

dbt

Python

ETL/ELT

DevOps

Kubernetes

Data quality

Communication

English proficiency

Herramientas

Snowflake

dbt

Python

Kubernetes

Power BI

Oracle

Descripción del empleo

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.

Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery - from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.

We are looking for a Senior Data Engineer to join a small, cross-functional engineering team modernizing a data platform for a global financial services client. You'll be working hands-on with Snowflake and dbt - designing data models, migrating legacy Oracle-based ETL processes, and contributing to architectural decisions alongside client stakeholders.

This is a delivery-oriented role with real ownership. You'll take responsibility for assigned components end to end, participate in client-facing technical discussions, and work directly with both engineering and business teams to define and implement solutions.

What you'll do

• Design, develop, and optimize data models and transformation workflows using Snowflake and dbt.

• Contribute to the design and implementation of scalable data architecture covering 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-related activities including deployment, configuration, and operational aspects of the data platform.

• Take ownership of assigned technical components and deliverables within the team.

• Participate actively in client-facing technical discussions and project meetings.

Required skills & experience

• Strong hands-on experience with Snowflake – 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 around data quality, performance, and reconciliation.

• Good communication skills — able 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.

Preferred qualifications

• 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.

When you join Solvd, you'll…

• Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.

• Be part of a global team with equal opportunities for collaboration across continents and cultures.

• Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.

Ready to make an impact?

Solvd is an equal opportunity employer.