San Salvador, San Salvador Department, El Salvador
Open 4 months, first seen by us 139 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Design 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
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.
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.
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.
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
Open 4 monthsWe first saw this posting 139 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 139
Up longer than most. Similar jobs usually come down between day 6 and day 54.
Well past Applaudo Studios’s usual: its jobs come down by about day 13.
From 11,594 similar postings that came down, and 10 of Applaudo Studios’s. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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:
You Will Be Accountable for the Following Responsibilities:
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.
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San Salvador, San Salvador Department, El Salvador
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