Snowflake Engineer
Indexed description
Key Responsibilities
Architecture & Design:
- Design and build scalable, secure, and cost-effective data solutions using Snowflake's architecture, including virtual warehouses, databases, and schemas.
- Develop and optimize complex SQL, Python, and other code for ELT/ETL processes to load, transform, and manage data within the Snowflake environment.
- Implement data pipelines using Snowflake features like Snowpipe, Streams, and Tasks, along with orchestration tools like dbt or Airflow.
- Serve as a Snowflake authority, guiding performance tuning, cost optimization, and workload management.
- Monitor and fix query performance, analyze execution plans, and implement solutions to ensure efficient data processing.
- Implement robust data governance and security measures, such as role-based access control (RBAC), data masking, and encryption.
- Ensure data solutions align with all relevant regulations and standards, like HIPAA and GDPR.
- Automate essential data processes and deployment workflows using CI/CD pipelines, Git-based version control, and scripting languages.
- Use Infrastructure as Code (IaC) tools, like Terraform, to manage and automate Snowflake infrastructure deployment.
- Collaborate with data engineers, architects, data scientists, and business partners to define requirements and deliver solutions that meet business needs.
- Mentor other engineers and support collaboration within the team, setting and promoting data engineering standards and proven methods.
- Fully document all solution work, including designs, configurations, and data lineage.
Education: Bachelor's degree in Computer Science, Engineering, or a related quantitative field; or equivalent practical experience (two years’ relevant work experience is equivalent to one-year college).
Experience: 3-5+ years of experience in data engineering, data warehousing, or a similar role, preferably in healthcare. Experience should also span:
- 2-3+ years of hands-on experience demonstrating skills with Snowflake, including advanced features like Zero Copy Cloning and Time Travel.
- Deep expertise in SQL, data modeling techniques (dimensional modeling, data vault), and ELT concepts.
- Strong proficiency in Python for scripting and automation, as well as experience with cloud platforms (AWS, Azure, or GCP).
- Demonstrable experience with data pipeline orchestration tools such as dbt, Airflow, or Fivetran.
- Experience with DevOps principles and CI/CD standard processes.
- Excellent analytical, problem-solving, and communication skills, with a diligent approach.
- Have, or willing to obtain, SnowPro Core Certification
- Experience in leveraging AI-Driven Development; using Snowflake Cortex AI, Cortex Code, and Snowpark to accelerate the development lifecycle—automating SQL generation, optimizing complex queries, and speeding up data transformation tasks.
- Experience in implementing Modern, Intelligent Workflows; adopting AI-native tools like Cortex Search, Notebooks, and Streamlit to build agentic, AI-powered applications, reducing manual engineering effort and improving productivity.
- Advanced Snowflake certifications (e.g., SnowPro Advanced Architect)
We offer a robust package of benefits including paid time off, paid holidays, community service and self-care days, medical/dental/vision/pharmacy insurance, 401(k) matching and non-contributory plan, life insurance, short and long term disability, education reimbursement, employee assistance plan (EAP), adoption assistance program and paid family leave program.
We will adhere to all relevant state and local laws concerning employee leave benefits, in line with our plans and policies.
Reasonable accommodations
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
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