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Software Engineer with Data and AI Engineering

  • Monterrey
  • Montevideo
  • Remote.AR
  • Remote.Brazil
  • Remote.Colombia
  • Rosario
Small team (1-10 people)

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Client

Our client is a leading global corporate and investment bank, providing a wide range of financial services to large corporates, financial institutions, and institutional investors across international markets.

Join a great company, not merely an individual project

Project overview

The project involves migrating production data pipelines from legacy environments into a modern, cloud‑native data platform. The new platform enables domain‑oriented data products, scalable analytics, and embedded governance, with AI‑based tools supporting data quality, anomaly detection, privacy, and compliance.

Team

You will be part of a cross functional team of data engineers, software engineers, and AI specialists working in close collaboration. The team follows an agile delivery model with shared ownership of design, development, and production support.

Position overview

We are looking for a Software Engineers with a strong background in data engineering and applied AI engineering. This role is part of a dual skill track where deep data engineering expertise is essential and hands on experience with AI enablement is expected.

Candidates from other countries may be considered if they are able to work US East Coast hours.

Technology stack

Python, SQL, NoSQL, Snowflake, Airflow, LLM/RAG, Flask, Streamlit, Azure/AWS/GCP

Responsibilities

  • Design and develop scalable ETL and ELT data pipelines
  • Build and maintain data orchestration workflows using Apache Airflow or similar tools
  • Collaborate with AI engineers to integrate LLMs into data‑driven applications
  • Develop RAG pipelines using embeddings and vector‑based search
  • Optimize Snowflake data models for performance and cost efficiency
  • Contribute to cloud native application design and deployment
  • Support integration or development of MCP servers where applicable
  • Collaborate closely with product, data, and platform teams

Requirements

  • Mid‑level candidates with 4+ years and Senior candidates with 10+ years of professional experience in software or data engineering.
  • Strong experience building production-grade data pipelines
  • Hands-on experience with Apache Airflow or similar orchestration tools
  • Solid experience with Snowflake, including data modeling and performance tuning
  • Advanced SQL skills and working knowledge of NoSQL databases
  • Strong Python development experience
  • Experience working in cloud environments Azure, AWS or GCP
  • Ability to work US East Coast hours

Nice to have

  • Hands on experience with large language models
  • Experience with retrieval augmented generation patterns
  • Experience with embeddings and vector databases
  • Experience using Streamlit or similar tools for GenAI interfaces
  • Exposure to MCP server development or integration

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We offer

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Vacation

As per the laws of your country. We do ask you to take a proper rest

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Health insurance

We help you to take out an insurance policy for you and your loved ones

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Sick pay

10 days without a doctor's note, afterwards - as per the laws of your country

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Time off for state holidays

According to the official calendar, regardless of the client’s schedule

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Pleasant environment

Two large corporate parties and many small get-togethers for colleagues

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Comfort service

Solving technical and everyday problems at work

The benefits package may vary depending on the region and the type of contract
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FAQ for Candidates

Work on global projects, grow your career in a supportive, flexible, and innovative tech environment. We help cover the cost of IT certifications and provide access to top-tier courses and learning platforms. View current openings and take the next step with us.

DataArt is a global software engineering company that helps businesses build powerful data, analytics, and AI solutions. We work with clients across a range of industries — including Finance, Healthcare & Life Sciences, Consumer Goods & Retail, Travel, Media & Entertainment, Mobility, and Manufacturing.

Learn more about what we do here.

DataArt supports flexible work formats to help you find the balance that works best for you. You can choose to work from the office, go hybrid, or stay fully remote—each option comes with equal opportunities for growth. We’ll help set you up with secure access and the equipment you need. With 46 remote and onsite official locations, you can join us from almost anywhere in the world.

Learn more about how we work here.

At DataArt, we put people first—fostering a culture built on trust, flexibility, and professional growth. We believe in open communication, mutual respect, and the freedom to choose how and where you work. Diversity, equity, and inclusion are core to our values, and we actively support a workplace where everyone can thrive. From mental health support to global sustainability efforts, we aim to create a healthy, empowering environment for all.

Read more about our culture and values.

There's no one-size-fits-all career path at DataArt—your growth is yours to shape. Whether you want to deepen your technical skills, move into management or sales, or even switch professions entirely, you'll have the support to do it. With exam fees fully covered, you can also earn professional certifications, like AWS, Azure, or Google Cloud. With tools like the Professional Development Map, the Talent Lab, and access to expert mentoring, we help you build your desired career.

Learn how we support both newcomers starting their careers and experienced professionals looking to grow further.

DataArt offers competitive compensation along with a range of thoughtful benefits that support your well-being, growth, and daily comfort. You’ll get flexible vacation and sick leave, mental health programs, and access to a corporate laptop or BYOD option. We also offer bonuses for referrals, parental leave, and smooth exit and return-to-work options.

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At DataArt, we focus on creating an environment where people want to stay and grow. With 95% of employees recommending us to a friend on Glassdoor and a 100% CEO approval rating, we’re proud of the trust we’ve built. From mentoring programs and professional development services to support and conflict resolution programs, we invest in our colleagues' growth and wellbeing—because when people feel valued, they stick around.

Learn more about our company >here.

Our interview process is designed to be thorough, transparent, and supportive. It starts with a CV review, followed by an HR interview to discuss your background and goals. You'll then go through communication and technical assessments, where we evaluate your English skills and knowledge of relevant technologies. If all goes well, you’ll meet someone from the project team to learn more about the work, and we’ll guide you every step of the way—including helping you prep for any client interviews.

Read more and get tips for each stage here.

DataArt looks for candidates with strong technical skills, analytical thinking, and a commitment to continuous learning. We value experience in relevant technologies and industries, adaptability, and excellent communication skills. If you’re a junior or just starting out, don’t worry—our mentorship programs and training will support your growth from day one. The most important thing is your willingness to learn and develop professionally in our collaborative, people-first environment.

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At DataArt, continuous learning is part of our culture. You’ll have access to expert mentors, leadership guidance, and thousands of courses from top platforms like Udemy and LinkedIn Learning. You can shape your own path—whether it’s growing within your role or switching to a new one.

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