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Brazil, Colombia
Live, first seen by us 21 days agoDesign, develop, and maintain data pipelines and ELT processes using SQL and dbt
Build and maintain data transformations to ensure quality and consistency
Manage infrastructure using Terraform and infrastructure-as-code practices
Develop and support web applications and services with Node.js, TypeScript, GraphQL, and React
Serve as primary on-call engineer one week in four and backup one week in four
Design, develop, and maintain reliable, scalable data pipelines and ELT processes using SQL and dbt.
Build, optimize, and maintain data transformations, ensuring data quality, consistency, and reliability.
Manage and maintain infrastructure using Terraform and infrastructure-as-code practices.
Develop and support web applications and services using Node.js, TypeScript, GraphQL, and React.
serving as the primary on-call engineer for one week out of every four and as backup on-call engineer for an additional week out of every four.
Practical experience with Terraform and infrastructure-as-code practices for managing and maintaining technical environments.
Experience with Snowflake and AWS cloud services.
Ability to collaborate effectively with distributed, cross-functional teams and work with colleagues operating in the US Mountain Time zone.
Familiarity with Apache Airflow for workflow orchestration, Looker for analytics and business intelligence, and Python for scripting or data engineering.
Experience with GitHub-based development workflows, including version control, pull requests, and collaborative code reviews.
Our customer is a leading education technology company that develops digital platforms and software solutions to support learning and improve educational experiences.
In the employer’s words · Read in context
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Day 21
Similar jobs usually come down between day 6 and day 54.
From 10,764 similar postings that came down. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Experience with Snowflake and AWS cloud services. - Familiarity with Apache Airflow for workflow orchestration, Looker for analytics and business intelligence, and Python for scripting or data engineering. - Experience with GitHub-based development workflows, including version control, pull requests, and collaborative code reviews.
What You’ll Do - Design, develop, and maintain reliable, scalable data pipelines and ELT processes using SQL and dbt. - Build, optimize, and maintain data transformations, ensuring data quality, consistency, and reliability.
What You Bring - Strong hands-on experience with data engineering and ELT processes, including advanced SQL and dbt for building and maintaining data transformations and pipelines. - Practical experience with Terraform and infrastructure-as-code practices for managing and maintaining technical environments.
- Manage and maintain infrastructure using Terraform and infrastructure-as-code practices. - Develop and support web applications and services using Node.js, TypeScript, GraphQL, and React. - Collaborate with data, product, and engineering teams to deliver integrated data and application solutions.
- Practical experience with Terraform and infrastructure-as-code practices for managing and maintaining technical environments. - Proven web application development experience with Node.js, TypeScript, GraphQL, and React, with the ability to contribute across backend and frontend components. - Strong problem-solving and troubleshooting skills, with a focus on reliability, maintainability, and production support.
Nice to have - Experience with Snowflake and AWS cloud services. - Familiarity with Apache Airflow for workflow orchestration, Looker for analytics and business intelligence, and Python for scripting or data engineering.
- Build, optimize, and maintain data transformations, ensuring data quality, consistency, and reliability. - Manage and maintain infrastructure using Terraform and infrastructure-as-code practices. - Develop and support web applications and services using Node.js, TypeScript, GraphQL, and React.
- Strong hands-on experience with data engineering and ELT processes, including advanced SQL and dbt for building and maintaining data transformations and pipelines. - Practical experience with Terraform and infrastructure-as-code practices for managing and maintaining technical environments. - Proven web application development experience with Node.js, TypeScript, GraphQL, and React, with the ability to contribute across backend and frontend components.
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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.
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
Our customer is a leading education technology company that develops digital platforms and software solutions to support learning and improve educational experiences. The organization combines technology, data, and innovation to deliver scalable solutions to users and institutions worldwide.
Intermediate/Upper-Intermediate
As an AI-first company, Exadel uses an AI recruiter to conduct a brief initial screening for this highly specialized position. This conversation helps us understand each applicant’s relevant experience and alignment with the role’s core requirements. The AI recruiter supports the process but does not make the final hiring decision. Candidates who successfully complete the initial screening will be connected directly with a member of our Talent team for the next step. If you require an accommodation or an alternative screening format, please let us know.
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
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Brazil, Colombia
- International projects - In-office, hybrid, or remote flexibility - Medical healthcare
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