Data Engineering Manager

PayPal • Austin, TX

3d • $160,500 - $273,500 • Hybrid

About The Position

PayPal, Inc. seeks a Data Engineering Manager in Austin, Texas. The role defines and executes data engineering strategy for developer productivity platforms and ensures alignment with company objectives. It designs and oversees scalable data architectures for collecting, processing, and analyzing information, and develops platforms that provide actionable insights to help teams identify bottlenecks, streamline processes, and accelerate software delivery. The role establishes ingestion, processing, and storage strategies for data from developer tools and the software development lifecycle (SDLC), and creates reports and visualizations for engineers, managers, and leaders. It translates complex data challenges into opportunities to improve productivity and efficiency, and collaborates with stakeholders to establish developer productivity metrics using frameworks such as DORA and SPACE. Partial telecommuting is permitted from a commutable distance. The stated schedule is 40 hours per week, Monday through Friday, 9:00 a.m. to 5:00 p.m.; PayPal's general hybrid model describes three days in the office and two days in the office or at home.

Requirements

• Master’s degree, or foreign equivalent, in Computer Science, Engineering, or a closely related field.
• At least three years of experience in the job offered or a related occupation.
• Three years of experience designing and building large-scale data platforms and real-time analytics systems using cloud data solutions and tools including AWS, Azure, Snowflake, Databricks, Airflow, Kafka, and Spark.
• Three years of experience using Python and SQL for data processing, pipeline development, and model development.
• Two years of experience with BI tools and data visualization techniques, including PowerBI and Tableau.
• Three years of experience with data modeling and data aggregation methodologies, including technical architecture for data pipelines.
• Three years of experience building applications, data pipelines, and analytics solutions while ensuring data privacy and regulatory compliance, using SSIS, Airflow, and Spark.
• Three years of experience with data warehousing solutions such as Snowflake, Databricks, Redshift, or BigQuery.
• Two years of experience ensuring data accuracy, integrity, and compliance with data governance standards.
• Three years of software engineering and development experience with Java and similar object-oriented programming skills.
• Three years of experience managing software and data management teams.
• Two years of experience driving SDLC team adoption and practices for software teams.
• Must be legally authorized to work in the United States without sponsorship.

Responsibilities

• Define and execute the data engineering strategy for developer productivity platforms, aligning it with company objectives.
• Design and oversee scalable data architectures for data collection, processing, and analysis.
• Develop a platform that provides actionable insights so teams can identify bottlenecks, streamline processes, and accelerate software delivery.
• Define data ingestion, processing, and storage strategies for data from developer tools and the SDLC.
• Design and develop reports and visualizations for engineers, managers, and leaders.
• Use data to drive business outcomes and identify opportunities to improve productivity and efficiency across development teams.
• Collaborate with stakeholders to define and implement developer productivity metrics using DORA, SPACE, and other relevant frameworks.
• Manage software and data management teams.
• Drive SDLC team adoption and practices for software teams.

Benefits

• Generous paid time off.
• Healthcare coverage for the employee and family.
• Resources to support financial security and mental health.
• An annual performance bonus, equity, or other incentive compensation may be available, as applicable.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager