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Principal Engineer - Data Infrastructure

3 hours, 21 minutes ago
Colombia
Full-time
Lead
Data Engineer
Data Science and Analytics
Apache Airflow AWS Dagster Databricks dbt Elasticsearch Git GitLab Go Kafka Kubernetes Microservices 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 the 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 improve data infrastructure.
  • Partner with development teams to ensure queries and schemas support product and business needs.
  • Help evolve data systems to handle high volumes of writes, events, and complex ETL processing.
  • Evaluate and integrate new technologies to advance the data infrastructure stack.
  • 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 products.
  • 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.
  • Ability to work in a fast-paced, collaborative environment with excellent communication and documentation skills.
  • Prior experience in high-growth, data-intensive fintech or similar regulated environments (preferred).
  • Knowledge of lakehouse architectures and modern stacks such as Snowflake, Databricks, Iceberg, or Delta Lake (preferred).
  • Experience designing scalable, fault-tolerant data pipelines with modern orchestration tools such as Airflow, Dagster, or Prefect processing 100GB to 1 TB of new data per day (preferred).
  • Familiarity with streaming technologies such as Kafka, Kinesis, Flink, or Spark Streaming (preferred).
  • High enthusiasm for using AI to increase productivity (preferred).

Benefits

  • Compensation of $6,000-$12,500 USD gross per month, based on location and experience level.
  • Full-time remote role.
  • Opportunity to work on a rapidly growing, high-scale data infrastructure team.
  • Career advancement opportunities in a dynamic, fast-paced environment.
  • Open-source-first engineering culture.

Interested in this position?

Apply directly on the company website

Apply Now

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