We are seeking a highly skilled senior data engineer with deep experience in snowflake, etl development, python, and matillion to design, build, and optimize scalable data solutions. This role will play a key part in enabling analytics, reporting, and advanced data use cases while staying ahead of emerging snowflake capabilities, including technologies such as snowflake cortex.
the ideal candidate is hands-on, technically strong, and comfortable working across the full data lifecycle—from ingestion and transformation through optimization and enablement of downstream analytics and ai-driven use cases.
key responsibilities
* design, develop, and maintain scalable, high-performance data pipelines using snowflake as the core data platform
* build and optimize etl/elt workflows using matillion and python
* develop reusable, well-documented python code for data processing, orchestration, and automation
* optimize snowflake performance through effective use of clustering, partitioning, warehouses, and cost-management best practices
* partner with analytics, data science, and business teams to translate requirements into reliable data solutions
* ensure data quality, reliability, and governance across pipelines and datasets
* stay current on emerging snowflake technologies and features, including snowflake cortex, and evaluate opportunities for adoption
* support advanced analytics, reporting, and ai/ml use cases by delivering clean, well-modeled data
* participate in architectural discussions and contribute to data platform best practices and standards
* troubleshoot and resolve data pipeline and performance issues in production environments
required qualifications
* 6+ years of hands-on experience as a data engineer or in a similar role
* 6+ years of snowflake experience, including schema design, performance tuning, and optimization
* strong experience designing and building etl/elt pipelines
* advanced proficiency in python for data engineering use cases
* strong experience with matillion for snowflake-based data integration
* solid understanding of data modeling concepts (e.g., dimensional modeling, star/snowflake schemas)
* experience working with large-scale, cloud-based data platforms
* strong sql skills and experience optimizing complex queries
* ability to work independently and collaborate effectively in cross-functional teams
preferred / nice-to-have qualifications
* experience or exposure to snowflake cortex or other emerging snowflake ai/ml capabilities
* familiarity with cloud platforms (aws, azure, or gcp)
* experience supporting analytics, bi, or data science teams
* knowledge of ci/cd practices for data pipelines
* experience with data governance, security, and compliance in cloud data environments