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Part-Time Domo Data Engineer - Remote - Latin America

Fullstack

Teletrabalho

BRL 220.000 - 332.000

Tempo parcial

Ontem
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Resumo da oferta

A leading IT talent network is seeking a Part-time DOMO Data Engineer to connect talented professionals with U.S. clients. This remote position requires over 4 years of experience in Data Engineering, along with strong skills in SQL and DOMO. You will work closely with design and engineering teams on various data solutions. The role offers competitive compensation, a completely remote working environment, and opportunities for career advancement in collaboration with Fortune 500 companies.

Serviços

Competitive pay
100% remote work
Continuing education opportunities

Qualificações

  • 4+ years of professional experience in Data Engineering.
  • Proven experience working with DOMO (dataset creation, DataFlows, connectors, and visualization layers).
  • Experience building and maintaining data pipelines in cloud environments.

Responsabilidades

  • Work alongside existing designers and engineers daily.
  • Ensure continuous integration and delivery of applications.
  • Identify and solve complex issues related to data processes.

Conhecimentos

Data Engineering
Advanced English proficiency
SQL
Experience with DOMO
ETL processes
API-based data integrations
Cloud environments (AWS, GCP, Azure)
Data modeling
Agile/Scrum

Formação académica

Four-year college degree

Ferramentas

MySQL
PostgreSQL
Snowflake
BigQuery
Descrição da oferta de emprego
Part-time DOMO Data Engineer – Remote – Latin America

FullStack is a transparent IT talent network that connects highly skilled professionals with top global companies and Silicon Valley startups for remote, on-demand projects.

Opportunity

Join our talent network and connect with U.S. clients for flexible, project-based development work as a Part-time DOMO Data Engineer.

You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.

What We're Looking For
  • 4+ years of professional experience in Data Engineering.
  • Advanced English proficiency.
  • Successful completion of a four-year college degree.
  • Proven experience working with DOMO (dataset creation, DataFlows, connectors, and visualization layers).
  • Strong proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, Snowflake, and BigQuery.
  • Solid understanding of ETL processes and API-based data integrations.
  • Experience building and maintaining data pipelines in cloud environments such as AWS, GCP, or Azure.
  • Strong knowledge of data modeling, transformation, and performance optimization.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can‑do attitude.
  • Experience working on Agile / Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.
  • Ability to consistently work 20 hours per week.
What We Offer
  • Competitive pay.
  • 100% remote work.
  • Opportunity to work with leading startups and Fortune 500 companies.
  • Continuing education opportunities.
  • Opportunity to grow and expand your career.

Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills.

We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences.

Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration.

Learn more about our Applicants Privacy Notice.

Job Details

Seniority level: Associate | Employment type: Part‑time | Job function: Information Technology | Industries: IT Services and IT Consulting, Computer and Network Security, Information Services

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