Data Engineer (Python)

Reposted 17 Days Ago
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Hiring Remotely in Colombia
Remote
Senior level
Information Technology • Consulting
The Role
The Senior Data Engineer will lead a team to migrate existing data infrastructure to Snowflake, oversee data modeling, ensure quality, and mentor engineers.
Summary Generated by Built In

We are:
Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve

Are you a fit?

Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:

We are seeking a Data Engineer (Python) with a strong development mindset and the ability to rapidly translate high-level requirements into working solutions using modern AI-assisted development tools. This role is focused on building fast, iterating quickly, and adapting to new frameworks and systems, leveraging tools such as AI coding assistants (e.g., Cursor, Copilot, Claude Code) to accelerate development workflows.

Responsibilities

  • Design, implement, and maintain backend services using Python and modern frameworks (e.g., FastAPI).
  • Translate high-level product or business requirements into working technical solutions quickly.
  • Use AI-assisted development tools (e.g., Cursor, Copilot, similar) to accelerate coding, refactoring, and migrations.
  • Adapt rapidly to new codebases, frameworks, and architectures.
  • Build and iterate on features with a strong focus on speed and practicality.
  • Collaborate with cross-functional teams to ship solutions under evolving requirements.

Must-have Skills 

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
  • 5+ years of progressive experience in data engineering, with at least 3 years in a lead or leadership capacity.
  • Strong proficiency in Python and backend development (FastAPI or similar frameworks).
  • Solid understanding of software engineering fundamentals (APIs, databases, system design basics).
  • Demonstrated ability to learn new technologies and frameworks quickly.
  • Experience using AI-assisted coding tools to speed up development (e.g., Cursor, GitHub Copilot, Claude Code, etc.).
  • Strong problem-solving skills with a bias toward execution and delivery.
  • Comfortable working in fast-changing, ambiguous environments.
  • Micro Services and API experience is also important.

Nice-to-have:

  • AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
  • Experience with LLMs or generative AI APIs.
  • Experience with rapid prototyping or MVP development.
  • Experience with system migrations or working across different tech stacks.

What we offer:

  • A High-Impact Environment
  • Commitment to Professional Development
  • Flexible and Collaborative Culture
  • Global Opportunities
  • Vibrant Community
  • Total Rewards

*Specific benefits are determined by the employment type and location.


Find out more about our culture here.

Skills Required

  • Bachelor's or Master's degree in Computer Science or related field
  • 5+ years of experience in data engineering
  • 3 years in a lead or leadership capacity
  • Deep expertise in data migration projects
  • Extensive experience with Snowflake
  • Proficiency in dbt
  • Strong proficiency in Apache Airflow
  • Expert-level SQL scripting
  • Proficiency in Python
  • Experience with data warehousing
  • Familiarity with PySpark, Athena, and BigQuery
  • Experience with version control systems
  • Fluent in English
Am I A Good Fit?
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The Company
1,444 Employees
Year Founded: 2014

What We Do

Wizeline, a global technology services provider, builds the best digital products and platforms at scale. We focus on measurable outcomes, partnering with our customers to modernize core technologies, mature data-driven capabilities, and improve user experience.

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