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Senior Data Engineer Job Opening In Chile, Chile – Now Hiring Jobgether


Job description

This position is posted by Jobgether on behalf of a partner company.

We are currently looking for a Senior Data Engineer in Latin America.
We are seeking a skilled Senior Data Engineer to design, build, and maintain scalable data infrastructure in a fully remote environment.

In this role, you will work closely with product teams to translate requirements into robust, cloud-native solutions, leveraging Snowflake, AWS services, and modern data pipelines.

You will ensure high-quality, reliable data processing and feature engineering while optimizing workflows and troubleshooting complex issues.

This is an excellent opportunity to work on impactful data projects, continuously expand your technical expertise, and contribute to a collaborative and innovative team.

If you are passionate about data, automation, and delivering scalable solutions, this role offers a chance to make a tangible impact.

Accountabilities

  • Collaborate with product teams to gather requirements and propose effective solutions
  • Design, build, and maintain scalable data pipelines and feature engineering pipelines
  • Analyze and resolve software and data infrastructure issues efficiently
  • Implement robust solutions using Python, SQL, and relevant programming languages
  • Ensure thorough testing and validation of data workflows and applications
  • Contribute creative, out-of-the-box solutions to complex challenges
  • Prioritize and execute tasks independently or as part of a collaborative team in a fast-paced environment
  • Uphold best practices in cloud architecture, CI/CD processes, and data security

Requirements

  • Strong verbal and written communication skills
  • Hands-on experience designing and developing enterprise applications
  • Proficiency with cloud-native data platforms, especially Snowflake and AWS services (Lambda, Glue, Kinesis, Firehose, Athena, S3, CloudWatch, DynamoDB, API Gateway)
  • Expertise in databases (Snowflake, DB2, Redshift) and dimensional modeling
  • Proficient in Python, SQL, and scripting (Unix shell scripts)
  • Experience with feature stores such as Tecton or SageMaker
  • Familiarity with NoSQL databases and building feature engineering pipelines
  • Experience with CI/CD tools such as GitHub, GitHub Actions, CodePipeline, and CloudFormation
  • Knowledge of user authentication and authorization across systems
  • Ability to take ownership of projects and deliver on timelines proactively
  • Bonus: experience with ETL tools like Informatica PowerCenter or IICS, and Airflow

Benefits

  • Fully remote role across Latin America
  • Opportunity to work on cutting-edge cloud data and feature engineering projects
  • Professional growth through exposure to modern data platforms and best practices
  • Collaborative and innovative work environment with a focus on technical excellence
  • Flexibility and autonomy to manage your workflow while meeting project goals

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly:

Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

It compares your profile to the job's core requirements and past success factors to determine your match score.

Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.

Once the shortlist is completed, we share it directly with the company that owns the job opening.

The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest

Required Skill Profession

Other General


  • 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 Chile, Chile, highlighting market share and opportunities for professionals in Senior Data roles.

14304 Jobs in Chile
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Are You Looking for Senior Data Engineer Job?

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

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

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 Chile laws and regulations

What Is the Average Salary Range for Senior Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Chile. 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?

Key qualifications for Senior Data Engineer typically include Other General 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?

To improve your chances of getting hired for Senior Data Engineer, 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 Job Success

Jobgether interview tips for Senior Data Engineer

Here are some tips to help you prepare for and ace your Senior Data Engineer 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 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!

How to Set Up Job Alerts for Senior Data Engineer Positions

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