Senior Data Engineer

Jampp

. Own the architecture and technical roadmap for key pieces of Jampp's data infrastructure .

Posted 9/23/2026full-timeRemote • ArgentinaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and scaling distributed data processing systems, with a strong focus on Python programming, AWS Big Data stack, and ETL processes. Proven ability to mentor engineers and drive data consistency across machine learning infrastructures.

Highest-signal resume keywords

Python ProgrammingAWS Big Data StackDistributed Data Processing SystemsETL Process DesignMentoring Engineers

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonETL ProcessesSQLPerformance TuningDistributed SystemsData ModelingMachine Learning InfrastructureData Consistency StandardsBenchmarkingRoot-Cause Diagnosis

Soft Skills

MentoringCoachingProblem-SolvingCollaborationOwnership

Tools & Technologies

AWS KinesisAWS EMRAWS LambdaTrinoDBPrestoDBDockerKubernetesPySparkDatabricks

Industry Keywords

Data InfrastructureReal-Time MLScalable Data ModelsData Access ToolsOpen Source Engagement

Tech Stack

Tools & technologies

AWSDistributed SystemsDockerETLKubernetesOpen SourcePySparkPythonSQL

About the role

Key responsibilities & impact

Own the architecture and technical roadmap for key pieces of Jampp's data infrastructure
Design and implement scalable, incremental, and maintainable ETL processes from varied sources
Partner with Data Scientists and Senior/Staff engineers on scalable data models and pipelines supporting real-time ML infrastructure
Drive data consistency and reliability standards across systems and machine learning inputs
Identify and resolve systemic bottlenecks through benchmarking, root-cause diagnosis, and architectural solutions
Build and evolve tools and frameworks enabling company-wide data access and reliable, scalable transformations
Mentor and coach mid-level and junior engineers
Contribute to technical decisions about tooling and infrastructure choices

Requirements

What you’ll need

5+ years of programming experience in Python, with a track record of building and owning production-grade distributed systems
Proven experience architecting and scaling distributed data processing systems
Deep hands-on experience with the AWS Big Data stack, including Kinesis, EMR, and Lambda, in high-throughput, transaction- or event-scale environments
Strong experience managing and operating TrinoDB/PrestoDB clusters in production
Production experience with Docker, Kubernetes, and PySpark
Rock-solid knowledge of databases and SQL, including performance tuning at scale
Databricks experience is a strong plus
A track record of mentoring and coaching engineers
Engagement with the open source community is a strong extra
Comfort operating with significant ownership and ambiguity and making sound architectural calls without everything being spelled out

Benefits

Comp & perks

Competitive salary, benchmarked to attract senior talent from high-growth tech, fintech, and e-commerce companies
High technical ownership from day one, with real influence over architecture decisions and the team's technical direction
An entrepreneurial environment
A dynamic remote-first work culture with the possibility of accessing coworking spaces as needed
A structured remote onboarding process and continuous training with a supportive team
Work with a talented global team you can constantly learn from
Cool swag and team activities, even when working from home