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Senior Data Engineer (Remote - Latam) Job Opening In WorkFromHome – Now Hiring Jobgether


Job description

This role is a Senior Data Engineer based in Latin America, working remotely.

The position focuses on designing, building, and maintaining robust data pipelines and cloud-based architectures that enable advanced analytics and data‑driven decision making.

You will collaborate with cross‑functional teams to integrate multiple data sources, ensure data quality, and optimize performance at scale.

The role offers a fully remote, collaborative, and inclusive environment that values creativity, autonomy, and technical excellence.

Accountabilities

  • Design, implement, and maintain end‑to‑end data solutions, ensuring performance, scalability, security, and reliability
  • Integrate multiple data sources, including relational databases, streaming platforms, and cloud storage systems
  • Develop and optimize SQL queries and programmatic pipelines to support analytics and reporting
  • Collaborate with software engineers, analysts, and stakeholders to translate business requirements into technical solutions
  • Create detailed technical documentation, including POCs, system diagrams, and architecture roadmaps
  • Participate in the full software development lifecycle: design, implementation, testing, deployment, and maintenance
  • Support workflow management and orchestration using tools such as Airflow, Luigi, or equivalent platforms

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • 4+ years of experience as a Software Engineer, Data Engineer, or Data Analyst
  • Strong programming skills in Python, Java, and/or Scala
  • Proficiency with cloud platforms, including Snowflake, AWS, Azure, GCP, and Databricks
  • Advanced SQL skills, including writing, debugging, and optimizing complex queries
  • Experience with data integration and transformation technologies such as Spark, Kafka, Streamsets, Matillion, Fivetran, NiFi, or dbt
  • Knowledge of distributed data storage systems (S3, ADLS, HDFS, GCS, Kudu, NoSQL databases)
  • Familiarity with workflow orchestration tools like Airflow, AWS Managed Airflow, Luigi, or NiFi
  • Strong English communication skills (written and verbal) for client‑facing interactions and presentations
  • Preferred experience with multiple data sources, automated pipelines, and production‑ready cloud data platforms

Benefits

  • Fully remote work environment across Latin America
  • Competitive compensation and benefits package, including generous PTO and public holidays
  • Collaborative culture emphasizing autonomy, creativity, and professional growth
  • Opportunities for accelerated learning through advanced training, certifications, and exposure to cutting‑edge technologies
  • Inclusive and diverse work environment promoting employee well‑being and engagement

Seniority level

  • Mid‑Senior level

Employment type

  • Full‑time

Job function

  • Information Technology
  • Industries: Non‑profit Organizations and Primary and Secondary Education

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Required Skill Profession

Bases De Datos, Analítica Y Bi


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


Real-time Senior Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior Data in WorkFromHome, Colombia, highlighting market share and opportunities for professionals in Senior Data roles.

9316 Jobs in Colombia
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Are You Looking for Senior Data Engineer (Remote Latam) Job?

Great news! is currently hiring and seeking a Senior Data Engineer (Remote Latam) to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Jobgether adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Colombia laws and regulations

What Is the Average Salary Range for Senior Data Engineer (Remote Latam) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior Data Engineer (Remote Latam)?

Key qualifications for Senior Data Engineer (Remote Latam) typically include Bases De Datos, Analítica Y Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Senior Data Engineer (Remote Latam)?

To improve your chances of getting hired for Senior Data Engineer (Remote Latam), consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Senior Data Engineer (Remote Latam) Job Success

Jobgether interview tips for Senior Data Engineer (Remote   Latam)

Here are some tips to help you prepare for and ace your Senior Data Engineer (Remote Latam) job interview:

Before the Interview:

Research: Learn about the Jobgether's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Data Engineer (Remote Latam) interview at Jobgether, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Jobgether's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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