Hire Data Engineers

Discover top Data Engineers with Lupa. Leverage Latin American talent for 70% less. Build-ready in 21 days. Tap into expert, seamless remote hiring today!

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Hire Remote Data Engineers

Francisca Valdés
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9 years of experience
Part-Time

Francisca, a skilled data scientist, excels in part-time roles with precision and insight.

Skills
  • Python
  • Statistics
  • Feature Engineering
  • Machine Learning
  • Data Cleaning
Natalia Solís
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11 years of experience
Part-Time

Natalia excels in data analysis, delivering insights with precision and creativity.

Skills
  • Power BI
  • Data Visualization
  • A/B Testing
  • Excel
  • SQL
Tomás Araya
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10 years of experience
Full-Time

Tomás is a skilled data analyst with a decade of experience, excelling in insightful analysis.

Skills
  • Excel
  • Data Visualization
  • Power BI
  • A/B Testing
  • SQL
Micaela Guerrero
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7 years of experience
Part-Time

Micaela, a skilled data analyst, excels in uncovering insights with precision and expertise.

Skills
  • Excel
  • SQL
  • Power BI
  • A/B Testing
  • Data Visualization
Alejandro Hernández
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13 years of experience
Full-Time

Alejandro is a skilled data engineer with a knack for innovative solutions.

Skills
  • SQL
  • Big Data
  • Python
  • ETL Pipelines
  • Data Warehousing
Nicolás Fernández
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12 years of experience
Full-Time

Nicolás is a skilled data engineer, known for crafting efficient, reliable data solutions.

Skills
  • Python
  • SQL
  • Big Data
  • ETL Pipelines
  • Data Warehousing
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Testimonials

"Over the course of 2024, we successfully hired 9 exceptional team members through Lupa, spanning mid-level to senior roles. The quality of talent has been outstanding, and we’ve been able to achieve payroll cost savings while bringing great professionals onto our team. We're very happy with the consultation and attention they've provided us."

RaeAnn Daly
Vice President of Customer Success, Blazeo

“We needed to scale a new team quickly - with top talent. Lupa helped us build a great process, delivered great candidates quickly, and had impeccable service”

Phillip Gutheim
Head of Product, Rappi Bank

“With Lupa, we rebuilt our entire tech team in less than a month. We’re spending half as much on talent. Ten out of ten”

Dan Berzansky
CEO, Oneteam 360

Data Engineer Skills

Strategic technical skills that benefit your projects

Data Integration

Proficient in ETL tools and frameworks for seamless data integration across systems.

Big Data Technologies

Experience with Hadoop, Spark, and Kafka for processing large data sets efficiently.

Data Warehousing

Skilled in building and managing data warehouses using solutions like Snowflake and Redshift.

Scripting Languages

Proficient in Python or Scala for data manipulation and automation tasks.

Data Modeling

Designing data models for structured and unstructured data to meet business needs.

Data Quality and Governance

Implementing and maintaining data quality and governance standards.

Data Engineers Soft Skills

Essential soft skills that define successful Data Engineers

Communication

Convey complex ideas clearly

Problem Solving

Creative solutions to challenges

Team Collaboration

Smooth working in diverse teams

Adaptability

Thrive in fast-changing environments

Time Management

Efficient prioritization of tasks

Attention to Detail

Ensure data accuracy and quality

How to Hire Data Engineers with Lupa

Discover how to hire the best with Lupa. Our Remote Recruiting Solutions connect you with top talent. Need flexibility? Our Remote Staffing Services adapt to your needs. For seamless integration, explore our RPO Solutions and enhance your HR processes.

Day 1
Aligning Roles to Your Business Needs

Together, we'll create a precise hiring plan, defining your ideal candidate profile, team needs, compensation and cultural fit.

Day 2
Targeted Search

Our tech-enabled search scans thousands of candidates across LatAm, both active and passive. We leverage advanced tools and regional expertise to build a comprehensive talent pool.

Day 3 & 4
Evaluation

We carefully assess 30+ candidates with proven track records. Our rigorous evaluation ensures each professional brings relevant experience from industry-leading companies, aligned to your needs.

Day 5
Shortlist Delivery

Receive a curated selection of 3-4 top candidates with comprehensive profiles. Each includes proven background, key achievements, and expectations—enabling informed hiring decisions.

Day 6 and beyond
Client interviews

Top candidates ready for your assessment. We handle interview logistics and feedback collection—ensuring smooth evaluation. Not fully convinced? We iterate until you find the perfect fit.

Ongoing Support
Post Selection

We manage contracting, onboarding, and payment to your team seamlessly. Our partnership extends beyond hiring—providing retention support and strategic guidance for the long-term growth of your LatAm team.

How to Write an Effective Job Post for Hiring Data Engineers

This is an example job post, including a sample salary expectation. Customize it to better suit your needs, budget, and attract top candidates.

Recommended Titles

  • Data Engineer
  • Data Analyst
  • Data Scientist
  • Machine Learning Engineer
  • BI Developer
  • ETL Developer

Role Overview

  • Tech Stack: Expertise in SQL, Python, Spark, and Hadoop.
  • Project Scope: Design and manage scalable data pipelines, ensure data accuracy, and optimize performance.
  • Team size: Work within a dynamic team of 7 data professionals.

Role Requirements

  • Years of Experience: Minimum of 4 years in data engineering.
  • Core Skills: Strong in data modeling, ETL processes, and data warehousing.
  • Must-Have Technologies: Mastery of SQL, Apache Kafka, AWS, and Redshift.

Role Benefits

  • Salary Range: Competitive salary based on experience and skills, $90,000 - $130,000.
  • Remote Options: Flexible remote work arrangements available to support work-life balance.
  • Growth Opportunities: Access to continued education, mentorship programs, and leadership opportunities.

Do

  • Specify salary range and perks
  • Outline essential skills and experience
  • Convey company culture and principles
  • Emphasize career advancement options
  • Use clear and appealing language

Don't

  • Don’t use unclear language.
  • Don’t exclude essential skills.
  • Don’t make it overly lengthy.
  • Don’t leave out company information.
  • Don’t skip the salary details.

Top Data Engineer Interview Questions

Essential questions for evaluating Data Engineers

Can you describe your experience with data pipeline tools like Apache Kafka or Apache NiFi?

Look for candidates who can articulate their hands-on experience with these tools, including any projects they’ve implemented or maintained. They should demonstrate an understanding of data ingestion, streaming, and real-time processing.

How do you ensure data quality and integrity in your workflows?

Seek candidates who mention specific techniques or tools they use for data validation, cleaning, or deduplication. They should discuss practices that ensure data consistency and accuracy throughout the pipeline.

How proficient are you with SQL, and how have you used it in your previous roles?

The candidate should explain complex querying and data manipulation they've handled using SQL. Look for depth in their understanding of writing, optimizing, and maintaining database queries.

What experience do you have with cloud platforms like AWS, GCP, or Azure for data solutions?

Look for familiarity with cloud services and tools such as Redshift, BigQuery, or Azure Data Factory. They should provide examples of deploying data storage or processing solutions in these environments.

Can you discuss your experience with data modeling and schema design?

The candidate should describe their approach to structuring data for efficient storage and retrieval. Seek examples of their thought process for designing scalable database schemas aligned with business requirements.

Can you describe a complex data pipeline you've built? What challenges did you encounter and how did you solve them?

Look for specific examples that demonstrate the candidate's ability to handle complex systems and overcome obstacles. Evaluate their analytical and troubleshooting skills.

When tasked with optimizing a slow-running query, how do you approach the problem?

Listen for a structured approach, including analysis of execution plans and indexing strategies. Check for problem-solving techniques and attention to detail.

Explain a time when your data solution improved business decision-making. What was the impact?

Assess how effectively they can translate technical solutions into business value. Gauge their understanding of aligning data work with organizational goals.

How do you handle situations where data quality is causing issues in your pipelines?

Look for an understanding of data validation, cleansing techniques, and proactive measures. Their response should show adaptability and a focus on quality assurance.

Describe a time you had to collaborate with cross-functional teams to solve a data-related problem. How did you ensure success?

Evaluate their communication and teamwork skills. Consider their ability to work with others to tackle challenges, emphasizing collaboration and compromise.

Can you tell me about a time you had to work closely with a team that was not performing well? How did you handle it?

Listen for examples where the candidate demonstrates problem-solving and conflict resolution. They should mention fostering open communication and taking steps to improve group dynamics.

Describe a situation where you had to explain a technical concept to a non-technical audience. How did you approach it?

Look for clarity and patience in their approach. The candidate should mention tailoring their communication to the audience's level of understanding and checking for comprehension.

How do you prioritize tasks when you have multiple deadlines and how do you communicate your progress?

Assess their time management skills and ability to communicate effectively with stakeholders. Look for a structured approach to prioritization and regular updates or check-ins with the team or manager.

Give an example of a time you faced a significant setback at work. How did you handle the stress?

The candidate should highlight resilience and adaptability. They should provide examples of stress management techniques and maintaining focus under pressure.

Have you ever disagreed with a team member or manager? How did you resolve it?

Check for their ability to navigate conflict constructively. Listen for an emphasis on respectful dialogue and finding common ground.

  • Poor Communication Skills
  • Inability to Receive Feedback
  • Lack of Problem-Solving Ability
  • Consistently Missing Deadlines
  • Unwillingness to Learn

LatAm Talent: A Smart Recruiting Solution

High-Performing Talent, Cost-Effective Rates

Top LatAm tech professionals at up to 80% lower rates — premium skills, unbeatable savings

Zero Time Zone Barriers, Efficient Collaboration

Aligned time zones enable seamless collaboration, efficiency and faster project deliveries

Vibrant Tech Culture, World-Class Tech Skills

World-class training and a dynamic tech scene fuel LatAm’s exceptional talent pool

Our All-in-One Hiring Solutions

End-to-end remote talent solutions, from recruitment to payroll. Country-compliant throughout LatAm.

Recruiting

Our recruiting team delivers pre-vetted candidates within a week. Not the perfect match? We iterate until you're satisfied. You control hiring and contracts, while we provide guidance.

Staffing

Our recruiters deliver pre-vetted remote talent in a week. You select the perfect candidate, we manage onboarding, contracts, and ongoing payroll seamlessly.

RPO

Our RPO services deliver flexible talent solutions. From targeted support to full-cycle recruitment, we adapt and scale to meet your hiring goals while you focus on strategic growth.

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