Sezzle

Senior Data Engineer

Sezzle

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇵🇱 Poland

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Salary

💰 $5,000 - $9,500 per month

Job Level

Senior

Tech Stack

AirflowAmazon RedshiftAWSDistributed SystemsETLJavaPythonScalaSQL

About the role

  • 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.

Requirements

  • 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 100GB - 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringETLELTSQLPythonScalaJavadata modelingdistributed systemsperformance tuning
Soft skills
communicationcollaborationdocumentationleadershiporganizational