Data Engineering Manager

Felix is hiring a Data Engineering Manager for a remote role open to applicants in United States. Level rates it ; you can apply on Felix.

Level's read on this job

Works on AI ●●●○ is how Level rates this data engineer role: the daily work is on AI products, without building the model.
The posting lists this role as remote.
Tools and skills the posting cites include Google Cloud, data engineering and team management.
Level classifies it as a lead role.
Level lists 145 other open roles at Felix.

AI in this role

Lead data engineering squads and infrastructure projects while utilizing AI to automate platform operations and code generation.

Google Cloud

data-engineeringteam-managementdatabase-administrationcloud-infrastructure

About Us
At Félix, we are building the indispensable financial companion for Latinos in the US. We combine an AI-powered, conversational-first interface with real-time financial infrastructure to make cross-border money movement as easy as sending a text. Starting with fast, affordable remittances powered by AI and crypto rails, we are expanding into credit, savings, and wallet services to support the complete immigrant financial journey. Our ambition is to deliver a white-glove financial experience with the simplicity of a conversation to a community the traditional financial system has historically overlooked.
We are a hyper-growth Series C company, backed by over $300 million in funding from top-tier global investors, including Andreessen Horowitz, QED, Castle Island, Switch Ventures, HTwenty, Monashees, General Catalyst Customer Value Fund. This isn't just about the numbers; it's a testament to the trust our investors have in our vision and our team. Additionally, Félix was selected as an “Endeavour Entrepreneur” and was a recipient of the CrossTech Fintech Startups Award.
Joining Félix means you will be part of a team building a legacy, a company that will outlive us all. This is a rare opportunity to apply your skills to a deeply meaningful mission—serving a community that has been underserved for too long because we are obsessed with our customers. We get things done with urgency and focus, driven by extreme ownership over our impact. We collaborate without ego, fostering radical transparency and fierce loyalty so we can grow together. Because we aim for insanely great rather than just good enough, we stay insatiably curious—always experimenting, building the future today, and delivering a product that truly makes our users' lives better.

About the Role
We are looking for a proactive, detail-oriented Data Engineering Manager to lead our core data engineering squad and oversee our DBA team. In this role, you will lead infrastructural platform projects while remaining ready to roll up your sleeves and get your hands dirty alongside your team.We operate in a GCP-native environment and build with an AI-native mindset—using AI to automate code generation, streamline platform operations, and reduce manual friction so our engineers can focus on architecture and business impact.

Responsibilities
• Engineering & Team Leadership: Lead, scale, and mentor a team of Data Engineers, while providing leadership and high-level management for our DBA team.• Hands-on Platform Projects: Drive critical infrastructure initiatives across streaming and batch environments using GCP, BigQuery, DBT, and Apache Flink.• AI-Native Operations: Champion an AI-first engineering culture—embedding AI into how we write pipeline code, operate platforms, and build data access layers.• Relational & DBA Oversight: Partner with and support our DBA team to ensure transactional database reliability, uptime, and seamless integration with our analytical platform (light technical involvement, heavy strategic alignment).• Attention to Detail & Standards: Set high standards for data quality, testing, observability, and cost optimization across our cloud resources.• Business-Driven Value: Focus on why data and metrics exist—aligning pipeline development directly with key business decisions and product goals.

Requirements
• Hands-on Builder Mindset: Proven experience leading data engineering teams with a willingness to write code, review PRs, and tackle complex system problems directly.• GCP-Native Mastery: Strong background in Google Cloud Platform, specifically BigQuery and cloud data processing.• Modern Stack Experience: Practical expertise with dbt for transformation models and Apache Flink (or Dataflow) for real-time streaming data.• AI-Native Mindset: Active user of modern AI coding assistants and automation workflows; passionate about leveraging AI to scale team impact.• DBA Team Management: Comfort managing relational database teams (e.g., PostgreSQL/MySQL) without needing to perform deep day-to-day DBA execution.• Rigorous Detail Orientation: High standards for clean architecture, platform governance, and documentation.• Excellent communication skills and an advanced English level (Spanish speaker is a nice plus!)

These are the applicable requisites, although equivalent competencies in any of the above will also be considered.

What We Offer

Competitive salary
Initial stock options grant
Annual performance bonus
Health, dental, and vision plans
Work model: currently fully remote, with a future transition to a hybrid set up
401 (k)
Continuous learning opportunities
Unlimited PTO
Paid parental leave
Empowering opportunities for growth in a dynamic entrepreneurial environment

Equal Opportunity Employer
At Félix, we are committed to providing equal employment opportunities to all qualified employees and applicants without regard to race, religion, nationality, sex, sexual orientation, gender identity, age, or disability. This policy applies to all terms and conditions of employment, including recruitment, hiring, placement, promotion, training, compensation, benefits, and termination.
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How we rate this

Data Engineering Manager at Felix rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Engineering Manager is an open job at Felix.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Miami, United States and is marked remote.
The job was posted on September 18, 2026.
Seniority: lead.
Applications are handled by Felix. Apply on Felix

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringTeam ManagementDatabase AdministrationCloud InfrastructureGoogle Cloud

Also common in data engineer jobs at this level

Python SQL AWS Spark Databricks Machine learning

Pay

Typical data engineer job: $148k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where team management was part of your work. What did you do?
Tell me about a project where database administration was part of your work. What did you do?
Tell me about a project where cloud infrastructure was part of your work. What did you do?
Walk me through how you've used Google Cloud in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Engineering, Team Management, Database Administration, Cloud Infrastructure, and Google Cloud. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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