Data Engineer (AI,Machine Learning)

Modus-create
Latin America
Workplace: RemoteFull-timeFunction: Data Science & Machine LearningExperience: 4-7 yearsSkills: ["Communication","Collaboration","Problem-solving","Teamwork"]

Data Engineer to join an ambitious, fully remote data team working on large-scale data systems and ML/AI workflows. You'll build ETL/ELT pipelines, optimize data quality and performance, and collaborate with product and design in a distributed, remote-first environment, supporting production ML/AI workloads across cloud data ecosystems.

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FursaFursa
Modus-create
Modus-create
6 months ago

Data Engineer (AI,Machine Learning)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Data Engineer to join an ambitious, fully remote data team working on large-scale data systems and ML/AI workflows. You'll build ETL/ELT pipelines, optimize data quality and performance, and collaborate with product and design in a distributed, remote-first environment, supporting production ML/AI workloads across cloud data ecosystems.
Location: Latin America
Workplace: Remote
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Design, build, and maintain ETL/ELT pipelines for large-scale data systems to enable ML/AI workflows in production.
  • •Collaborate with product, design, and engineering to shape data models and data quality standards.
  • •Optimize data processing performance and ensure robust data quality across cloud data platforms.
  • •Work with workflow orchestration tools (Airflow, Dagster, Prefect) to manage data pipelines.
  • •Participate in technical discussions, code reviews, and architectural decisions in a distributed team.

Pay and Benefits

Perks:Remote WorkLearning Budget

Key Requirements

  • •4–7+ years of experience as a Data Engineer or in a closely related role.
  • •Strong programming skills in Python and solid experience with SQL.
  • •Hands-on experience building ETL/ELT pipelines for large-scale data systems.
  • •Experience supporting Machine Learning or AI workflows in production.
  • •Familiarity with cloud data ecosystems (e.g., BigQuery, Snowflake, Redshift).
Experience:4-7 years
Skills:CommunicationCollaborationProblem-solvingTeamwork
Languages:English
Tech Stack:PythonSQLETLELTBigQuerySnowflakeRedshiftAirflowDagsterPrefectDockerKafkaKinesisMLflowWeights & BiasesML lifecycle toolsCloudData modelingData qualityPerformance optimization

Company Brief

Modus-create
Digital transformation consultancy delivering product design, cloud-native engineering, DevOps, and organizational change services to help enterprises build and scale modern digital products and platforms.
Industry: Consulting
Company Size: Medium (51 to 250 employees)
Growth: Established Company
Funding: Bootstrapped
Headquarters: Raleigh, United States
Founded: 2007
WebsiteLinkedIn