Staff Data Engineer

Job Description

The Job

As the Staff Data Engineer-Marketing on the HBO Max Data Insights & Ops team, you will be a part of the team that is responsible for developing, constructing, test existing and new architectures. You will play an integral role in identifying ways to improve data reliability, efficiency and quality. This position will work closely with the Marketing team on marketing, media and subscriber data sets.

The Daily
• Design, implement and fully own critical portions of HBO Max's analytical data models and pipelines used to populate them.
• Collaborate with stakeholders to understand requirements, design data structures using best practices, and develop batch or real-time data pipelines to ensure the timely delivery of high quality data.
• Own, maintain and support existing data pipelines and platforms storing petabytes of data quickly and reliably.
• Strive for a culture of high quality, innovation and incremental experimentation.
• Creatively explore and demonstrate the value of data for HBO Max team. Be part of a driving force that enables and empowers better decision making through data.
• Has a knack of using flexible and scalable methodologies that can be applied to a broad set of problems across the Data Engineering organization.

The Essentials
• Bachelor's or Master's degree in computer science or related field.
• SQL Rockstar: can code complex SQL logic.
• Strong Computer Science fundamentals in Algorithms and Data Structures.
• Strong Software Engineering and Coding skills: 7-8 years of experience in Python or other programming languages such as Scala or Java.
• Significant experience with Big Data technologies such as Apache Spark.
• 2-3 years of experience with MPP/Cloud Data Warehouses such as Snowflake.
• Five years of experience with core AWS services related to data engineering.
• Always be thirsty for optimizations and always be eager to find new, improved ways to address an old problem.

The Nice to Have
• Experience with using Apache Kafka or AWS Kinesis as a message bus for storing and processing high-velocity real-time data
• Experience with building data notebooks using Jupyter, AWS Sagemaker, or Databricks
• Experience with building and productionizing ML Pipelines and other solutions
• Experience with Graph-based workflow orchestration engine such as Apache Airflow
• Familiarity with marketing and media platforms/data sets

The Perks
• Paid time off to volunteer
• Access to well-being tools, resources, and freebies
• Access to in-house learning and development resources
• Part of the WarnerMedia family of powerhouse brands

Jobcode: Reference SBJ-gknqqg-18-189-14-219-42 in your application.