Key Responsibilities
- Data Pipeline Architecture & Development
- Design and implement scalable ETL/ELT pipelines from multiple source systems to Snowflake
- Create automated, monitored workflows to ensure reliable data processing
- Optimize pipeline performance and troubleshoot data flow issues
- Snowflake Development
- Develop and maintain efficient SQL views and tables to support analytics needs
- Optimize Snowflake performance through proper warehouse sizing and query tuning
- Implement data quality checks and validation processes
- Analytics & ML Support
- Collaborate with analytics team to ensure data accessibility and usability
- Structure data to support Python-based predictive modeling initiatives
- Create efficient data models that enable quick analysis and reporting
- Continuous Improvement
- Research and recommend tools, technologies, and practices to enhance the data engineering process.
- Stay up-to-date with the latest advancements in Snowflake, ETL technologies, and cloud data platforms.
- Data Quality & Governance
- Implement and maintain data governance frameworks focusing on security, privacy, and compliance standards
- Establish automated data quality monitoring with clear documentation and alerting mechanisms
- Create and enforce data access controls and retention policies while maintaining comprehensive data lineage
- Partner with stakeholders to ensure regulatory compliance and data security best practices
Requirements
- Technical Skills
- Proven experience with Snowflake, including designing and optimizing data lakes and warehouses.
- Proficiency in SQL for writing queries, creating views, and managing data structures.
- Hands-on experience building ETL/ELT pipelines from multiple data sources.
- Proficiency in Python for scripting, automation, and supporting predictive modeling workflows.
- Familiarity with data integration tools (e.g., Airflow, dbt, Fivetran) is a plus.
- Experience with data pipeline monitoring and troubleshooting.
- Experience implementing data governance frameworks in a Snowflake environment
- Soft Skills
- Strong problem-solving skills and attention to detail.
- Excellent communication skills, with the ability to work collaboratively across teams.
- A proactive mindset, with a passion for continuous learning and improvement.
- Experience
- Bachelor’s degree in Computer Science, Data Engineering, or a related field (or equivalent experience).
- 3+ years of experience in data engineering or a similar role.
- Experience working in a cloud-based environment (AWS, Azure, or GCP).
Why Join Us?
- Opportunity to work with cutting-edge tools and technologies.
- Be part of a collaborative and innovative team dedicated to driving data-driven decision-making.
- Competitive salary, benefits, and opportunities for professional development and growth.
Compensation & Benefits
- Competitive salary range of $120k-$140k with annual bonus potential of 10%
- Bonus eligibility based on performance
- Monthly cell phone stipend
- 401k with employer match
- Health, dental, & vision insurance
- Flexible PTO
- Free drop in classes at [solidcore]
- And MORE
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What We Do
[solidcore] is unlike any other workout out there. Our 50-minute, full-body, high energy, low-impact classes use slow, controlled movements on our resistance-based machine to work your muscles to [failure]. With hundreds of moves stemming from planks, lunges, and squats – as well as many different resistance options – every class is different, leaving your body and mind always challenged. Classes are intense but small, designed to allow our [solidcore]-certified coaches to deliver each client with personalized attention and accountability in a team-environment. The lights are low, the music is on point, and the community is [inspiring].








