Sr. Data Engineer (Remote)

CrowdStrike

151d • $125,000 - $180,000

About The Position

As a Senior Data Engineer, you will design and build reusable data integration components, frameworks, and libraries at scale to support Operational Data Store / Enterprise Data Lake Platforms.

Requirements

• 12+ years' experience in design and development of data pipeline automation extracting data from Cloud API based sources.
• Experience developing complex automation frameworks, queries, data modeling, and extract, transform, and load (ETL) processes in SQL, Python, DBT, Apache Airflow or similar technical languages.
• Deep Experience in scripting languages such as Python and Cloud database experience such as Snowflake, Redshift, etc.
• Proficient in transforming structured and unstructured data.
• Experience working on CI/CD processes such as Jenkins, Gitlab CI/CD etc., and source control tools such as GitHub.
• Experience identifying and solving issues concerning data management to improve data quality, and clean, prepare and optimize data for ingestion and consumption.
• Proven experience integrating and managing business data from enterprise applications to drive analytics and insights.
• Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.

Responsibilities

• Design, develop, and maintain scalable, automated, framework driven and efficient data pipelines using scripting languages like Python, Airflow, Dbt and Cloud databases such as Snowflake, RedShift, etc.
• Implement data integration solutions for various data sources like SFDC, Product Telemetry, NetSuite and other systems, ensuring data accuracy, consistency, and completeness.
• Work closely with DevOps and data scientists to support their data platform automation needs.
• Review design, code, and test plans with Data Engineering teammates to increase knowledge and application of key frameworks and methodologies.
• Assist internal and external stakeholders with data-related technical issues and support data infrastructure needs.

Benefits

• Remote-friendly and flexible work culture
• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees regardless of level or role
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
• Vibrant office culture with world class amenities
• Great Place to Work Certified™ across the globe

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees