(1231) Senior Data Engineer

Nearsure; Argentina; A distancia; ARS 116.140.000 - 174.211.000; Jornada completa

Descripción de la vacante

A dynamic technology company in Argentina is seeking a Senior Data Engineer to shape the foundation of their data platform. The ideal candidate will design scalable infrastructure, mentor other engineers, and ensure clean, reliable data assets. Must have 5+ years of relevant experience, including SQL and Python proficiency. This fully remote position offers a competitive salary and flexible work arrangements.

Servicios

Competitive USD salary

100% remote work

Paid time off

National holidays celebrated

Sick leave

Refundable annual credit

Team-building activities

Birthday day off

Formación

• 5+ years of data engineering experience designing, building, and operating data systems.
• 5+ years of SQL experience for analytics and performance optimization.
• 5+ years of Python experience for data manipulation and pipeline development.

Responsabilidades

• Architect and evolve scalable infrastructure for data processing.
• Lead improvements to existing frameworks for performance and reliability.
• Establish robust data governance practices.

Conocimientos

Data engineering

SQL

Python

Data governance

Apache Spark

Cloud platforms

Educación

Bachelor's Degree in Computer Science, Engineering, or related field

Herramientas

AWS

GCP

Git

Descripción del empleo

Overview

Explore the Nearsure experience!

Join our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management.

Say goodbye to micromanagement! We champion autonomy, open communication, and respect for diversity as our core values.

Your well-being matters: Our People Care team is here from day one to support you with everything from time-off requests to wellness check-ins.

Plus, our Accounts Management team ensures smooth, effective client relationships, so you can focus on what you do best.

Ready to grow with us?

Here’s what we offer you by joining us!

Competitive USD salary – We value your skills and contributions!

100% remote work – While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM!

Paid time off – Take the time you need according to your country’s regulations, all while receiving your full salary. Rest, recharge, and come back stronger!

National Holidays celebrated – Take time off to celebrate important events and traditions with loved ones, fully embracing your culture.

Sick leave – Focus on your health without the stress. Take the necessary time to recover and feel better.

Refundable Annual Credit – Spend it on the perks you love to enhance your work-life balance!

Team-building activities – Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nearsure family and feel part of our vibrant community.

Birthday day off – Enjoy an extra day off during your birthday week to celebrate in style with friends and family!

About the project

As a Senior Data Engineer, you will be a strategic professional shaping the foundation of our data platform. You will design and evolve scalable infrastructure, enable data governance at scale, and ensure our data assets are clean, reliable, and accessible.

You will be a go-to expert, mentoring other engineers and influencing architectural decisions across the company.

How your day-to-day work will look like

• Architect and evolve scalable infrastructure to ingest, process, and serve large volumes of data efficiently.
• Lead improvements to existing frameworks and pipelines to ensure performance, reliability, and cost-efficiency.
• Establish and maintain robust data governance practices that empower cross-functional teams to access and trust data.
• Transform raw datasets into clean, usable formats for analytics, modeling, and reporting.
• Investigate and resolve complex data issues, ensuring data accuracy and system resilience.
• Maintain high standards for code quality, testing, and documentation, with a strong focus on reproducibility and observability.
• Stay current with industry trends and emerging technologies to continuously raise the bar on our engineering practices.

This would make you the ideal candidate

• Bachelor's Degree in Computer Science, Engineering, or a related field.
• 5+ Years of experience working with data engineering experience designing, building, and operating scalable data ingestion, processing, and serving layers in production.
• 5+ Years of experience working with SQL for analytics, transformations, and performance optimization (windowing, partitioning, query tuning).
• 5+ Years of experience working with Python for data manipulation, pipeline development, packaging, and integration (e.g., PySpark, pandas).
• 5+ Years of experience working with data modeling for Data Warehouses/Lakehouse (dimensional, wide tables, partitioning, Z-ordering, schema evolution) and building efficient ELT/ETL pipelines.
• 3+ Years of experience working with distributed data processing (Apache Spark) for batch and/or streaming at scale.
• 3+ Years of experience working with cloud platforms (AWS and/or GCP) for data engineering workloads (storage, compute, IAM, networking, cost controls).
• 2+ Years of experience working with implementing data governance at scale (policies, lineage, quality checks, access controls) across multiple domains/teams.
• 2+ Years of experience working with improving existing data frameworks/pipelines for performance, reliability, and cost efficiency (profiling, caching, partitioning, autoscaling).
• 1+ Years of experience working with automated testing and CI/CD for data pipelines (unit/integration tests, data quality tests, environment promotion) and observability (logging/metrics/tracing).
• Expert-level SQL (query design, performance tuning, troubleshooting execution plans).
• Experience with API-based integrations (JDBC/ODBC, REST, SOAP) and data ingestion patterns.
• Intermediate shell scripting (Bash and/or PowerShell).
• Logging, auditing, and tracing for data platforms; strong observability mindset.
• Data security and privacy (PII handling, encryption, tokenization, IAM, least privilege).
• Automation of data pipelines and environments (schedulers, CI/CD, packaging, reproducibility).
• Hands-on with diverse data types and formats (structured, semi-structured, unstructured; JSON, Avro, ORC, Parquet; columnar vs. row).
• Proficiency with Git-based workflows (branching strategies, code reviews, PRs).
• Understanding of modern data architectures: Data Lake, Data Warehouse, Lakehouse, Data Mesh, Data Fabric, Delta/transactional lakes.
• Advanced English Level is required for this role, as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.

What to expect from our hiring process

1. Let’s chat about your experience!
2. Impress our recruiters, and you’ll move on to a technical interview with our top developers.
3. Nail that, and you’ll meet our client - your final step to joining our amazing team!

At Nearsure, we’re dedicated to solving complex business challenges through cutting-edge technology and we believe in the power of tailored solutions. Whether you are passionate about transforming businesses with Generative AI, building innovative software products, or implementing comprehensive enterprise platform solutions, we invite you to be part of our dynamic team!

We would love to hear from you if you are eager to make an impact and join a collaborative team that values creativity and expertise.

Let’s work together to shape the future of technology!

Apply now!

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