Python Data Engineer

If you are a self-motivated, detail-oriented, and data-driven individual with a passion for Python and data engineering, we want to hear from you! Apply now and be part of our dynamic team of experts.

Position: Python Data Engineer

Location: San Francisco, California, United States

Salary: $190000 - $224000

Overview: We are seeking a highly skilled Python Data Engineer to join our dynamic and innovative team. As a Python Data Engineer, you will play a crucial role in designing, building, and maintaining our data infrastructure and pipelines. You will work closely with our data scientists, analysts, and other cross-functional teams to ensure the efficient and accurate delivery of data for various business requirements. This is an exciting opportunity for someone who is passionate about data and has a strong background in Python development.

Key Responsibilities:

• Design, develop, and maintain Python-based data pipelines to support data ingestion, processing, and transformation.
• Collaborate with data scientists to implement data models and algorithms for machine learning and predictive analytics.
• Build and maintain scalable and performant databases and data warehouses.
• Write efficient and optimized SQL queries for data extraction and manipulation.
• Troubleshoot and resolve issues related to data quality, integrity, and availability.
• Work closely with stakeholders to understand data requirements and develop solutions to meet business needs.
• Implement data governance and security measures to ensure the confidentiality and integrity of data.
• Develop and maintain documentation for data processes, data models, and data dictionaries.
• Stay updated with industry trends and best practices in data engineering and continuously improve our data infrastructure.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience as a Data Engineer or in a similar role.
• Strong proficiency in Python and SQL.
• Experience with data warehousing concepts and technologies (e.g., Redshift, Snowflake).
• Hands-on experience with ETL tools and frameworks (e.g., Airflow, Spark).
• Knowledge of data modeling and database design principles.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work independently and in a team environment.

We Offer:

• Competitive salary and benefits package.
• Opportunity to work with cutting-edge technologies and solve challenging data problems.
• A collaborative and inclusive work environment that values diversity and promotes personal growth.
• Flexible working hours and the option for remote work.
• Ongoing learning and development opportunities.