Senior Data Engineer

Senior Data Engineer at Sezzle Salary: $5,000 - $9,500 per month (gross in USD) Location: Santiago, Chile Employment Level: Mid‑Senior Employment Type: Full‑time About Sezzle Sezzle is a fintech company on a mission to financially empower the next generation by blending cutting‑edge technology with seamless, interest‑free installment plans. We drive real impact on merchant sales through increased conversions and higher order values while shaping the future of retail and payments. About the Role We are seeking a talented and motivated Senior Data Engineer to help grow and evolve Sezzle’s data ecosystem. The role involves building large‑scale, high‑performance data pipelines and collaborating with cross‑functional teams to deliver robust, high‑quality datasets. Responsibilities Design, build, and optimize large‑scale, high‑performance data pipelines to support analytics, product insights, and operational workflows. Architect and evolve Sezzle’s data ecosystem, driving improvements in reliability, scalability, and efficiency. Lead development of ETL/ELT workflows using Redshift, DBT, AWS DMS, and related modern data tooling. Partner with cross‑functional teams (engineering, analytics, product, finance, risk) to gather or adapt requirements and deliver robust, high‑quality datasets. Evaluate and integrate new technologies, guiding the evolution of Sezzle’s data stack and infrastructure. Optimize Redshift and warehouse performance, including query tuning, modeling improvements, and cost management. Qualifications 9+ years of experience in data engineering, with a strong track record of production‑grade systems. Deep expertise with AWS Redshift or similar products, including performance tuning, table design, and workload management. Strong hands‑on experience with ETL/ELT frameworks, especially DBT, AWS DMS, and similar tools. Proficiency in SQL (advanced level) and at least one programming language such as Python, Scala, or Java. Experience building and maintaining AWS‑based data platforms, including S3, Lambda, Glue, or EMR. Track record designing scalable, fault‑tolerant data pipelines using modern orchestration tools (Airflow, Dagster, Prefect, etc.) processing more than 100 GB – 1 TB of new data a day. Strong understanding of data modeling, distributed systems, and warehouse/lake design patterns. Ability to work in a fast‑paced, collaborative environment with excellent communication and documentation skills. Preferred Knowledge and Skills Prior experience in high‑growth, data‑intensive fintech or similar regulated environments. Familiarity with streaming technologies (Kafka, Kinesis, Flink, Spark Streaming). Knowledge of lakehouse architectures and modern stacks such as Snowflake, Databricks, Iceberg, or Delta Lake. Exposure to machine‑learning pipelines, feature stores, or MLOps concepts. Experience leading data platform migrations, warehouse re‑architectures, or large‑scale performance overhauls. Enthusiasm for automation, CI/CD for data, and infrastructure as code (Terraform, CloudFormation). About You Have relentlessly high standards, continually raising the bar and driving others to deliver great results. Not bound by convention—success lies in developing new ways to do things. Take action and value calculated risk‑taking—speed matters in business. Earn trust through attentive listening, candid speaking, and respectful treatment of others. Show backbone—disagree when needed, then commit fully to decisions. Deliver results with quality and timeliness, rising to occasion despite setbacks. Why Working at Sezzle Is Awesome We value not just brilliant engineers but a diverse community of musicians, yogis, cyclists, chefs, golfers, dog‑lovers, and rock‑climbers, fostering an environment where unique, purpose‑driven individuals thrive. #J-18808-Ljbffr