Data Engineer - Work from home

Nearsure; Córdoba; A distancia; ARS 85.429.000 - 113.907.000; Jornada completa

Descripción de la vacante

A leading technology company is seeking a Senior Data Engineer to design and evolve scalable data infrastructure. This remote role requires expertise in SQL, Python, and data governance practices. The ideal candidate will have at least 5 years of experience handling data in production environments. Join us and contribute to a collaborative team focused on innovative technology solutions while enjoying generous benefits including competitive salary and paid time off.

Servicios

Competitive USD salary

100% remote work

Paid time off

National Holidays

Sick leave

Annual credit for perks

Team-building activities

Birthday day off

Formación

• 5+ years of experience in data engineering.
• 5+ years of experience with SQL for analytics and optimizations.
• 5+ years of Python experience for data manipulation.
• 3+ years of experience with distributed processing (Apache Spark).
• Advanced English level required for interactions with US clients.

Responsabilidades

• Architect and evolve scalable infrastructure for data processing.
• Lead improvements to frameworks ensuring performance and reliability.
• Establish robust data governance practices.
• Transform raw datasets for analytics.
• Maintain high standards for code quality and documentation.

Conocimientos

SQL

Python

Data governance

Data modeling

Cloud platforms (AWS/GCP)

Apache Spark

API-based integrations

CI/CD for data pipelines

Shell scripting

Git-based workflows

Educación

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

Descripción del empleo

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.

What you’ll contribute

• 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, designing, building, and operating scalable data ingestion, processing, and serving layers in production.
• 5+ Years of experience with SQL for analytics, transformations, and performance optimization (windowing, partitioning, query tuning).
• 5+ Years of experience with Python for data manipulation, pipeline development, packaging, and integration (e.g., PySpark, pandas).
• 5+ Years of experience 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 with distributed data processing (Apache Spark) for batch and/or streaming at scale.
• 3+ Years of experience with cloud platforms (AWS and/or GCP) for data engineering workloads (storage, compute, IAM, networking, cost controls).
• 2+ Years of experience implementing data governance at scale (policies, lineage, quality checks, access controls) across multiple domains/teams.
• 2+ Years of experience improving existing data frameworks/pipelines for performance, reliability, and cost efficiency (profiling, caching, partitioning, autoscaling).
• 1+ Years of experience 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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