Senior Data Engineer

Snowflake; Menlo Park (CA); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Comprehensive health insurance plans

Health savings accounts

Robust retirement plans

Life and disability insurance

Quarterly bonus or commission program

Job summary

Snowflake is seeking a data engineer to manage and oversee key data infrastructure at our Menlo Park, CA office. Your role will involve collaborating with product managers and stakeholders, designing, implementing, and maintaining complex data ingestion pipelines. Successful candidates will demonstrate proficiency in Python, SQL, and have a strong understanding of data pipeline architecture.

We offer comprehensive health plans, robust retirement plans, and flexible work options including remote working. Join us for a dynamic experience at the data forefront!

Qualifications

• 3-5 years of experience in data engineering or related field.
• Experience with designing and building complex data pipelines.
• Proficiency in Python and SQL.

Responsibilities

• Design, build, and own key data infrastructure.
• Collaborate with data scientists, product managers, and stakeholders.
• Create and maintain custom data ingestion pipelines.
• Support executive team with data insights for reporting.

Skills

Data Pipeline Development

ETL Processes

Python

SQL

Apache Airflow

Education

BS in a technical field (CS, Physics, Math)

MS/PhD (optional)

Tools

Snowflake

Job description

Responsibilities

• Design, build, and own the key data infrastructure to manage data and usage across our Snowflake account
• Interface with data scientists, product managers, and business stakeholders to understand data needs and help build data products and tools that scales across the company
• Design, implement and maintain custom data ingestion pipelines sourcing data from application apis
• Collaborate closely with Engineering, Product Management, IT, Finance, and Compliance to inform product decision making with data and to identify opportunities for system improvements
• Answer questions from the executive team for board reporting, publications, and industry reports
• Think creatively to find optimal solutions to our complex, often unstructured & ambiguous problems

Benefits

• Comprehensive health insurance plans
• Health savings accounts
• Robust retirement plans
• Life and disability insurance
• Weekly online lunch and learns
• Virtual workout classes
• Ergonomic work-from-home equipment
• On-demand mental health and wellness programs
• Fertility benefits and family planning resources
• Generous time-off and various leave plans
• Onsite and Remote Work
• Employee discounts and pre-tax selections
• New hire equity + Employee Stock Purchase Plan (ESPP)
• Quarterly bonus or commission program

Qualifications

• Ability to clearly present learnings to business leaders and technical stakeholders
• Experience with ETL and sourcing data from various sources
• Designing and building complex data pipelines in a large scale data environment
• Experience using Snowflake a plus
• The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful
• BS in a technical field (CS, Physics, Math, etc), MS/PhD a plus
• Familiarity with developing data products to drive data science and analytics initiatives
• Proficiency in Python & SQL 3-5 years experience including:
• Experience with Apache Airflow is desirable