Data Engineer
San Salvador, San Salvador Department, El Salvador
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s listing: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s listing: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign and run data migration processes across multiple sources and platforms
Build, maintain and optimize ETL/ELT pipelines
Transform, cleanse and standardize data from multiple systems
Ensure data quality, consistency and integrity across environments
Integrate data with analytical platforms and AI-driven components
From the employer’s posting
Design and execute data migration processes across multiple data sources and platforms.
Build, maintain, and optimize ETL/ELT pipelines.
Transform, cleanse, and standardize data from multiple systems.
Ensure data quality, consistency, integrity, and reliability across environments.
Integrate data with analytical platforms and AI-driven components.
What you’ll bring
All qualificationsCore experience
- 3+ years as a Data Engineer or in a similar role
- Advanced SQL
- Strong ETL/ELT design and implementation experience
- Experience integrating and migrating data between database engines and platforms
- Python or similar language for automation and data processing
Preferred experience
- Bachelor's degree in computer science, software engineering or a related field
Qualification wording
3+ years of experience as a Data Engineer or in a similar role.
Advanced SQL expertise.
Strong experience designing and implementing ETL/ELT processes.
Experience integrating and migrating data between different database engines and platforms.
Proficiency in Python or a similar language for automation and data processing.
Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, or a related field is desired, or equivalent professional experience.
Education & alternatives
You Bring to Applaudo the Following Competencies: - Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, or a related field is desired, or equivalent professional experience. - 3+ years of experience as a Data Engineer or in a similar role.
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- Experience working with analytical platforms and large datasets. - Proficiency in Python or a similar language for automation and data processing. - Strong understanding of data quality, governance, consistency, and integrity principles.
- Experience with Data Migration and Data Integration. - Python proficiency - Advanced English.
- 3+ years of experience as a Data Engineer or in a similar role. - Advanced SQL expertise. - Strong experience designing and implementing ETL/ELT processes.
- 3+ years of experience as a Data Engineer. - Advanced SQL skills. - Experience with ETL/ELT, Data Modeling, and Data Pipelines.
About Applaudo Studios
At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Jun 22, 2026 · 118 days ago
- Recorded sightings
- 129
- Last seen by us
- Oct 18, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
Job Description
About You
You are a Data Engineer passionate about building reliable, scalable, and high-performing data solutions that power analytics, reporting, and AI-driven initiatives. You enjoy solving complex data challenges, transforming fragmented information into trusted datasets, and enabling organizations to make data-driven decisions.
You thrive in collaborative environments, working closely with technical teams and stakeholders to design, migrate, integrate, and optimize data across multiple platforms and technologies. You bring a strong analytical mindset, attention to detail, and a commitment to data quality, consistency, and long-term scalability.
Note: This position is offered under a contractor model for a period of 3 months.
You Bring to Applaudo the Following Competencies:
- Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, or a related field is desired, or equivalent professional experience.
- 3+ years of experience as a Data Engineer or in a similar role.
- Advanced SQL expertise.
- Strong experience designing and implementing ETL/ELT processes.
- Experience with data modeling and data transformation.
- Experience integrating and migrating data between different database engines and platforms.
- Experience building and maintaining scalable data pipelines.
- Experience working with analytical platforms and large datasets.
- Proficiency in Python or a similar language for automation and data processing.
- Strong understanding of data quality, governance, consistency, and integrity principles.
- Strong analytical and problem-solving skills.
- Ability to work independently while collaborating effectively with cross-functional teams.
- Advanced English communication skills.
You Will Be Accountable for the Following Responsibilities:
- Design and execute data migration processes across multiple data sources and platforms.
- Build, maintain, and optimize ETL/ELT pipelines.
- Transform, cleanse, and standardize data from multiple systems.
- Ensure data quality, consistency, integrity, and reliability across environments.
- Integrate data with analytical platforms and AI-driven components.
- Support the design and implementation of scalable data models.
- Collaborate with technical teams to support data modernization initiatives.
- Identify opportunities to improve data reliability, scalability, and operational efficiency.
- Contribute to establishing data governance and best practices.
- Support business intelligence and analytics initiatives through high-quality datasets.
Qualifications
- 3+ years of experience as a Data Engineer.
- Advanced SQL skills.
- Experience with ETL/ELT, Data Modeling, and Data Pipelines.
- Experience with Data Migration and Data Integration.
- Python proficiency
- Advanced English.
Additional Information
About Us
We Are Engineered Different.
At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.
We are building a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication. These define how we work, how we support one another, and how we hold ourselves accountable.
Applaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Salvador, San Salvador Department, El Salvador
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.