About JWP:

JWP is transforming the Digital Video Economy as a trusted partner for over 40,000 broadcasters, publishers, and video-driven brands through our cutting-edge video software and data insights platform. JWP empowers customers with unprecedented independence and control over their digital video content. Established in 2004 as an open-source video player, JWP has evolved into the premier force driving digital video for businesses worldwide. With a rich legacy of pioneering video technology, JWP customers currently generate 8 billion video impressions/month and 5 billion minutes of videos watched/month. At JWP, everyone shares a passion for revolutionizing the digital video landscape. If you are ready to be a part of a dynamic and collaborative team then join us in shaping the future of video! 

The Data Engineering Team: 

At JWP, our data team is a dynamic and innovative team, managing the data lifecycle, from ingestion to processing and analysis, touching every corner of our thriving business ecosystem. Engineers on the team play a pivotal role in shaping the company's direction by making key decisions about our infrastructure, technology stack, and implementation strategies. 

The Opportunity: 

We are looking to bring on a Software Engineer to join our Data Engineering team. As an Engineer on the team, you will be diving into the forefront of cutting-edge big data tools and technology. In this role, you will have the opportunity to partner closely with various teams to tackle crucial challenges for one of the world's largest and rapidly expanding video companies. Join us and make an impact at the forefront of digital innovation.

As a Data Engineer, you will:

• Contribute to the development of distributed batch and real-time data infrastructure.
• Mentor and work closely with junior engineers on the team. 
• Perform code reviews with peers. 
• Lead small to medium sized projects, documenting and ticket writing the projects. 
• Collaborate closely with Product Managers, Analysts, and cross-functional teams to gather insights and drive innovation in data products. 

Requirements for the role:

• Minimum 3+ years of backend engineering experience with a passionate interest for big data.
• Expertise with Python or Java and SQL. 
• Familiarity with Kafka
• Experience with a range of datastores, from relational to key-value to document
• Demonstrate humility, empathy, and a collaborative spirit that fuels team success. 

Bonus Points:

• Data engineering experience, specifically with data modeling, warehousing and building ETL pipelines
• Familiarity with AWS - in particular, EC2, S3, RDS, and EMR
• Familiarity with Snowflake
• Familiarity with Elasticsearch
• Familiarity with data processing tools like Hadoop, Spark, Kafka, and Flink
• Experience with Docker, Kubernetes, and application monitoring tools
• Experience and/or training with agile methodologies
• Familiarity with Airflow for task and dependency management

Perks of being at JWP, United States

Our goal is to take care of you and ensure you will be successful in your new role. Your success is our success! 

As a full time employee, you will qualify for:

• Private Medical, Vision and Dental Coverage for you and your family
• Unlimited Paid Time Off
• Stock Options Purchase Program
• Quarterly and Annual Team Events
• Professional Career Development Program and Career Development Progression
• New Employee Home Office Setup Stipend
• Monthly Connectivity Stipend
• Free and discounted perks through JWP's benefit partners
• Bi-Annual Hack Weeks for those who are interested in using their coding knowledge
• Fireside chats with individuals throughout JWP

*Benefits are subject to location and can change at the discretion of the Company. 

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We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.