Senior Data Engineer

6 days ago

Philadelphia, Pennsylvania, United States Pepperjam Full time

Who We Are:

The partnership channel offers scale and automation on a pay-for-performance model that delivers the operating leverage necessary for brand survival. Partnerize empowers marketers with technology built to discover, engage, and convert audiences, at scale, all while maintaining brand safety and control.

Why Join Us?

Our commitment to growing partnerships doesn't end with our clients. Our employees are carefully selected to be a part of our company because they emulate a carefully crafted and practiced set of core values that define us and our business. Joining Partnerize means joining a company that sincerely values your talent, expertise, and passion. We strive each day to hire and retain only the best. Doing so affords us the opportunity to be the best in the business, to exceed our clients' expectations, to innovate, to teach—and most importantly—to earn and maintain our clients' loyalty.

The things you care about

At the heart of our platform, we track performance marketing data and build solutions to turn this data into useful information for our customers. We work with a lot of data, generating over a billion events across our infrastructure daily. We aim to make as much of this data available in real-time as possible, which is no mean feat at this scale

We are looking for a highly skilled Senior Data Engineer to join our team. The ideal candidate should have extensive experience with Google Cloud Platform, Google BigQuery, Apache Airflow, Airbyte, HDFS, Apache Spark, and Hive.

As a Senior Data Engineer at Partnerize, you will:

Design, build, and maintain data pipelines using Google Cloud Platform, Google BigQuery, Apache Airflow, Airbyte, HDFS, Kafka and Apache Spark Integrate large sets of data from numerous internal and external sources Ensure the reliability and performance of data systems by implementing best practices for data quality, security, and scalability Collaborate with cross-functional teams to understand business objectives and translate them into technical solutions Collaborate with data scientists and other stakeholders to support data-driven decision making and implement data solutions Design and implement data models and explain trade-offs of different modeling approaches Stay up to date with the latest developments and technologies in the data engineering field

You are a data engineer with:

Strong experience with Google Cloud Platform, Google BigQuery, Apache Airflow, Airbyte, HDFS, and Apache Spark Experience with data warehousing, data modeling, and ETL data pipelines design, implementation, and maintenance Good knowledge of software engineering practices and hands-on experience with writing Python production-level code Good knowledge of SQL and approaches to query optimization Strong understanding of data security and privacy principles Excellent problem-solving and critical thinking skills Strong communication and collaboration skills

We hope you have:

Good understanding of CI/CD Experience of working in an Agile environment and understanding of key agile practices Experience with data management for BI tools like Tableau

US Benefits & Perks

Flexible Time Off Policy – Take the time you need Enhanced Parental Leave: 16 weeks for birth parent, 8 weeks for non-birth parent at full pay after one year employment Robust Company Sponsored Health & Welfare Benefits 401k Plan – 4% employee match Enhanced Wellness Program including access to EAP, Wellness Coaching & Wellness Fridays program Regular company events and activities

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