Senior Staff Data Engineer

Posted 1 day ago

This is a fully remote position, open to applicants in California, +7 more states.

📋 Description

• Create and develop high-performance, reliable, and scalable reporting APIs and data pipelines.

• Facilitate high-level architecture discussions and planning sessions focused on ad measurement, revenue, and addressability data.

• Collaborate with engineering teams to build software through a cooperative development approach.

• Partner with the Product team to clarify project objectives and provide input on requirements.

• Execute tasks with clarity and precision, show ownership, and offer guidance to propel projects forward.

• Work closely with Global Operations and Cloud Infrastructure teams to ensure successful production deployments and assist the Incident Management team.

• Mentor and provide guidance to junior engineers.

• Build, manage, and sustain backend services, data products, and reporting applications for AdsWizz.


⛳️ Requirements

• Over 12 years of software engineering experience in Python or Java, preferably with JDK17 or higher.

• More than 7 years of experience in designing, building, and overseeing data pipelines using Spark, BigQuery, AWS EMR, and GCP Cloud Analytics.

• At least 7 years of expertise in developing REST API-based microservices and scalable products, ideally utilizing AWS.

• Familiarity with cloud data warehouses and analytics platforms, including Snowflake and BigQuery.

• Experience with observability tools such as Prometheus, Grafana, and the ELK stack.

• Knowledge of data pipeline expectations frameworks like Monte Carlo Data, Great Expectations, or Soda.

• Proficient in working with Docker and Kubernetes.

• Experience with messaging platforms and stream data processing tools such as Kafka, Flink, or Pub/Sub.

• Proficient in using Miro or Lucidchart, Jira, and Confluence.

• Strong understanding of software engineering processes, lifecycle methodologies, configuration management, release management, system verification, and testing.

• Ability to work autonomously and manage entire projects or significant components, with a focus on research and timely task completion.

• Exceptional analytical and problem-solving skills, a keen attention to detail, and a commitment to continuous improvement.

• Bachelor’s Degree in Computer Science, Mathematics, or a related field.

• Must possess the legal right to work in the U.S.


🏝️ Benefits

• Discretionary short-term incentives.

• Discretionary long-term incentives.

• Equal opportunity employment environment.

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