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Principal Engineer - Data Infrastructure

3 hours, 6 minutes ago
Latin America
Full-time
Lead
Data Engineer
Data Science and Analytics
Apache Airflow AWS Dagster Databricks dbt Elasticsearch Flink Git GitLab Go Kafka Kubernetes MySQL PostgreSQL Prefect Python React React Native Snowflake SQL TypeScript
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Sezzle

Sezzle

Sezzle is a payments company revolutionizing the buy now, pay later experience with interest-free installment plans, empowering consumers and merchants alike.

Diversified Financial Services
251-1K
Founded 2016
View All Jobs 147

Description

  • Own end-to-end database and data warehousing infrastructure, including KPIs and SLAs for MySQL, Postgres, CDC capture, and Redshift.
  • Lead database and query performance optimizations.
  • Build and maintain tooling to manage, upgrade, migrate, and optimize data infrastructure.
  • Partner with development teams to ensure queries and schemas support product and business needs.
  • Evolve data systems to handle higher volumes of writes, events, and complex ETL workloads.
  • Evaluate and integrate new technologies to advance Sezzle’s data infrastructure.
  • Support data engineers and analysts with Redshift optimization, query tuning, modeling improvements, and cost management.

Requirements

  • 12+ years of experience in DBA, SRE, or Data Engineering roles with a track record of scaling production-grade systems.
  • Deep expertise with MySQL, Postgres, and AWS Redshift or similar systems, including performance tuning, table design, and workload management.
  • Advanced proficiency in SQL.
  • Strong hands-on experience with data replication and ETL/ELT frameworks, especially DBT and AWS DMS or similar tools.
  • Strong understanding of data modeling, distributed systems, and warehouse/lake design patterns.
  • Experience working in a fast-paced, collaborative environment with strong communication and documentation skills.
  • Preferred experience in high-growth, data-intensive fintech or other regulated environments.
  • Preferred knowledge of lakehouse architectures and tools such as Snowflake, Databricks, Iceberg, or Delta Lake.
  • Preferred experience designing scalable, fault-tolerant data pipelines with orchestration tools such as Airflow, Dagster, or Prefect.
  • Preferred familiarity with streaming technologies such as Kafka, Kinesis, Flink, or Spark Streaming.
  • High enthusiasm for using AI to improve productivity is preferred.

Benefits

  • Salary range of $6,000-$12,500 USD gross per month, based on location and experience level.
  • Full-time remote role.
  • Opportunity for career advancement in a rapidly growing team.
  • Work on modern data infrastructure and new tooling initiatives.
  • Open-source-first engineering culture.

Interested in this position?

Apply directly on the company website

Apply Now

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