Python (Node or Java)  Apache Spark, Apache Flink Airflow Kafka, Apache Pulsar MySQL Kubernetes AWS (including EMR, S3, Redshift)

Implement scalable, fault-tolerant data pipelines using distributed processing frameworks like Apache Spark and Flink on AWS EMR, optimizing for throughput and latency Design batch and real-time, event-driven data workflows to process billions of data points daily, leveraging streaming technologies like Kafka and Flink. - Optimize distributed compute clusters and storage systems (e.g., S3, HDFS) to handle petabyte-scale datasets efficiently, ensuring resource efficiency and cost-effectiveness. Develop robust failure recovery mechanisms, including checkpointing, replication, and automated failover, to ensure high availability in distributed environments Optimize data storage and processing systems to handle petabyte-scale datasets efficiently, ensuring performance and cost-effectiveness. Collaborate with cross-functional teams to deliver actionable datasets that power analytics and AI capabilities. Implement data governance policies and security measures to maintain data quality and compliance. Own the technical direction of highly visible data systems, improving monitoring, failure recovery, and performance. Mentor engineers, review technical documentation, and articulate phased approaches to achieving the team’s technical vision. Contribute to the evolution of internal data processing tools and frameworks, enhancing their scalability and usability   Must Have: 4+ years of experience in software development, with at least 2 years focused on data engineering and distributed systems. Hands on with Python and SQL, with experience in backend development. Experience with distributed data processing frameworks such as Apache Spark and Flink. Proven track record of designing and implementing scalable ETL/ELT pipelines, ideally using AWS services like EMR. Strong knowledge of cloud platforms, particularly AWS (e.g., EMR, S3, Redshift), and optimizing data workflows in the cloud. Experience with data pipeline orchestration tools like Airflow. Familiarity with real-time data streaming technologies such as Kafka or Pulsar. Understanding of data modeling, database design, and data governance best practices. Excellent problem-solving skills and the ability to thrive in a fast-paced, collaborative environment. Strong communication skills with experience mentoring or leading engineering teams. Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.   We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey hereMassachusetts Applicants:It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Please visit Klaviyo Rewards to find out more about our Total Rewards package. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.Base Pay Range For US Locations:$120,000—$180,000 USDGet to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.