Senior Data Engineer

Svitla Systems, Inc.; Argentina; Remote; ARS 136,310,000 - 227,183,000; Full time

Benefits offered by this job

US/EU projects

Competitive pay

Performance appraisals

Remote or office flexibility

Article writing bonuses

Generous vacation

Personalized learning

Tech webinars

Corporate activities

Friendly team

Job summary

Svitla Systems, Inc. is seeking a Senior Data Engineer for a full-time role (40 hours/week) in LATAM to support a US-based fintech platform that enables small loans and digital banking.

You will own data pipelines, data quality, analytics, risk, fraud, and AI-driven workflows across the client’s ecosystem, designing scalable systems and evaluation standards.

We offer remote or office work, competitive pay, learning programs, and regular performance appraisals.

Qualifications

• 5+ years shipping production data or software systems.
• Strong Python, systems design, SQL, and data warehousing.
• Hands-on experience directing AI agents or LLM workflows in production.
• Portfolio, GitHub history, or shipped systems you can discuss in depth.
• Ability to operate with high autonomy and ownership.

Responsibilities

• Orchestrate AI agents across the full data lifecycle, owning the code and architecture they touch.
• Build and refine evaluation harnesses that keep agent output accurate and auditable.
• Write and review production Python and SQL for pipelines, services, and models.
• Make systems-design decisions on how data infrastructure scales.
• Monitor scoring model performance, default and delinquency trends, and fraud signals, intervening when human judgment must lead.
• Stand up dashboards and BI that give the team a live view of marketplace health.
• Partner with product and risk to ship data-informed decisions fast.

Skills

Production systems

Python

SQL & Data Warehousing

AI Agents workflows

Portfolio / GitHub

Tools

GitHub

Job description

Svitla Systems Inc. is looking for a Senior Data Engineer for a full-time position (40 hours per week) in LATAM. Our client is a US-based fintech company that runs a community finance platform where members can borrow and lend small amounts to cover emergency expenses. Launched in 2018, it offers an alternative to payday loans, with borrowers setting their own terms, along with financial education and digital banking services. The platform serves around 2 million users and has facilitated about $1 billion in transactions.

Our client is building the data function of the future: one professional operating a team of AI agents rather than managing a team of people. In this builder-operator role, you will own data science, analysis, business intelligence, risk, fraud, and data engineering across the client’s ecosystem, using agents as the workforce and your judgment as the control layer. You will design the pipelines, systems, and evaluation standards that turn transaction and behavioral data into signals the business can act on, while keeping data quality, lending risk, and fraud detection sharp end to end.

Requirements

• 5+ years as a data or software engineer shipping production systems (not just analysis or reporting).
• Strong Python fundamentals and systems-design judgment, plus deep fluency in SQL and data warehousing.
• Hands-on experience directing AI agents or LLM-based workflows in production, not just experimenting with them.
• A portfolio, GitHub history, or shipped systems that you can point to and discuss in depth.
• Comfort operating with high autonomy and full ownership.

Will be a plus

• Risk and fraud analytics experience in fintech, lending, or payments.
• Credit scoring or alternative underwriting background.
• Track record of building evaluation or observability systems for ML or agent pipelines.
• Background in consumer fintech or marketplaces.
• Experience working in a high-pace, high-accountability environment.

Responsibilities

• Orchestrate AI agents across the full data lifecycle, from ingestion and pipeline health to modeling and reporting, while owning the code and architecture they touch.
• Build and refine evaluation harnesses that keep agent output accurate and auditable.
• Write and review production Python and SQL for pipelines, services, and models.
• Make systems-design decisions on how data infrastructure scales.
• Monitor scoring model performance, default and delinquency trends, and fraud signals, intervening when human judgment must lead.
• Stand up dashboards and BI that give the team a live view of marketplace health.
• Partner with product and risk to ship data-informed decisions fast.

WE OFFER

• US and EU projects based on advanced technologies.
• Competitive compensation based on skills and experience.
• Regular performance appraisals to support your growth.
• Flexibility in workspace, either remote or our welcoming office.
• Bonuses for article writing, public talks, other activities
• Generous time off, including vacation, national holidays, sick leaves, and family days.
• Personalized learning programs tailored to your interests and skill development.
• Free tech webinars and meetups organized by Svitla.
• Regular corporate online activities.
• Awesome team and a friendly, supportive community!