Senior Data Engineer

At Scribd (pronounced scribbed ), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products : Everand, Scribd, and Slideshare.

We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.

We love collaborating and investing time in our Scribd community, and we create intentional in-person moments with each other to build culture and connection.

And, it is through our flexible work benefit Scribd Flex that we enable employees, in partnership with their manager, to choose the work-style that best suits their individual needs and preferences.

What You'll Do : You will play a pivotal role in managing and optimizing our data stream of analytics events. Your responsibilities will include designing and implementing robust data pipelines and transformations, ensuring data integrity through automated quality monitoring.

We’re looking for someone who is not only skilled in data engineering but also understands the high stakes of working with business-critical data.

Your expertise will directly contribute to the efficiency and reliability of our financial operations, making it essential for the success of our partners and our business.

Based on the project, this might involve cross-functional work with the Data Science or Content Engineering teams to troubleshoot, process, or optimize our business-critical pipelines, or working with Core Platform to implement better processing jobs for scaling our consumption of streaming data sets.

Almost everything you would be working on would be to increase the "customer satisfaction" for internal customers of Scribd data. Required Skills :

• Strong written and verbal communication skills.
• You have at least 3 years of experience in data engineering creating or managing end-to-end data pipelines on large complex datasets.
• 5+ years of relevant experience in Data Engineering, Backend Engineering, BI Engineering, or Software Engineering
• You have engineered scalable software using big data technologies ( Hadoop, Spark, Hive, Flink, Samza, Storm, Elasticsearch, Druid, Cassandra, etc).
• Fluency with at least one dialect of SQL.
• Expertise in Scala, Java, or Python. Desired Skills :
• You have worked on and have knowledge of Streaming platforms, typically based around Kafka.
• Strong grasp of AWS data platform services and their strengths / weaknesses.
• Strong experience using Jira, Slack, JetBrains IDEs, Git, GitLab, GitHub, Docker, Jenkins, Terraform.
• Experience using DataBricks.At Scribd, your base pay is one part of your total compensation package and is determined within a range.

Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States.

In the state of California, the reasonably expected salary range is between $136,000 minimum salary in our lowest geographic market within California to $220,000 maximum salary in our highest geographic market within California .

In the United States, outside of California, the reasonably expected salary range is between $112,000 minimum salary in our lowest US geographic market outside of California to $209,000 maximum salary in our highest US geographic market outside of California .

In Canada, the reasonably expected salary range is between $133,000 CAD minimum salary in our lowest geographic market to $197,500 CAD maximum salary in our highest geographic market .

We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets;

relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped.

In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.

Benefits, Perks, and Wellbeing at Scribd *Benefits / perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.

• Healthcare Insurance Coverage (Medical / Dental / Vision) : 100% paid for employees
• 12 weeks paid parental leave
• Short-term / long-term disability plans
• 401k / RSP matching
• Tuition Reimbursement
• Learning & Development programs
• Quarterly stipend for Wellness, Connectivity & Comfort
• Mental Health support & resources
• Free subscription to Scribd + gift memberships for friends & family
• Referral Bonuses
• Book Benefit
• Sabbaticals
• Company wide events
• Team engagement budgets
• Vacation & Personal Days
• Paid Holidays (+ winter break)
• Flexible Sick Time
• Volunteer Day
• Company-wide Diversity, Equity, & Inclusion programs Want to learn more about life at Scribd? We want our interview process to be accessible to everyone.

You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing about the need for adjustments at any point in the interview process.

Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas.

Come join us in building something meaningful. Remote employees must have their primary residence in : Arizona, California, Colorado, Connecticut, Delaware, DC, Florida, Georgia, Hawaii, Iowa, Massachusetts, Maryland, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), British Columbia (Canada), or Mexico.#LI-Remote