18 publicaciones de empleo destacadas de ai pipeline engineer en b (¡Están contratando!)

Senior AWS Data Engineer
ON.energy —Capital Federal, Buenos Aires
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CapsLock —Buenos Aires, Buenos Aires
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Marvik —Buenos Aires, Buenos Aires
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Sweat Pants Agency —Buenos Aires, Buenos Aires
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3d
Veeam Cloud and Service Provider (VCSP ) Senior Territory Manager
Veeam Software —Capital Federal, Buenos Aires
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Sezzle —Capital Federal, Buenos Aires
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Capgemini Sogeti —Buenos Aires, Buenos Aires
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Payoneer —Capital Federal, Buenos Aires
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Senior Data Engineer – Data Operations
MetLife —Capital Federal, Buenos Aires
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Remitee (26594529) —Buenos Aires, Buenos Aires
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Palo Alto Networks —Buenos Aires, Buenos Aires
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Sezzle —Capital Federal, Buenos Aires
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Modus Digital —Capital Federal, Buenos Aires
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Scale AI —Buenos Aires, Buenos Aires

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Senior AWS Data Engineer

ON.energy -
Capital Federal, Buenos Aires

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Detalles del empleo

Descripción completa del empleo

ON.energy is building the backbone of energy and AI infrastructure powering grid-safe data centers and mission-critical facilities. The company supplies and operates hyperscale power systems that solve the toughest resilience challenges, delivering custom solutions for AI data centers, mission-critical facilities, and front-of-the-meter assets. ON recently announced a 5GW partnership, with 3GW currently under construction across multiple hyperscale data center campuses. With patented technology and proprietary software, ON.energy develops projects worldwide that set new benchmarks for resilience.

We are looking for a hands-on Senior Data Engineer to join a small team (2 Data Engineers + 1 Data Analyst). You will help scale our AWS-based data infrastructure, working primarily with industrial data sources and high-volume time-series data.

Responsibilities Will Include:

Engage directly with end users to understand how they consume data, and design solutions that serve their needs.
Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time processing, including high-frequency time-series ingestion.
Evolve the Data Lakehouse—optimizing storage, performance, and data consistency.
Manage orchestration workflows with complex dependencies and error handling.
Implement data governance, security controls, and audit policies across the AWS ecosystem, leveraging services such as AWS Lake Formation for centralized data lake permissions and governance.
Optimize performance and cost (FinOps); identify and resolve technical bottlenecks.
Partner with the Data Analyst to deliver production-ready, analytics-optimized datasets.
Build monitoring, alerting, and data quality testing for platform reliability.

Requirements:

Bachelor's degree in Computer Science, Computer Engineering, or a closely related discipline is required.
At a minimum, 5+ years of experience in Data Engineering, Analytics Engineering, or related roles.
Deep hands-on experience with core AWS data services: Glue, Athena, Step Functions, Lambda, Kinesis, and Lake Formation.
Hands-on experience with Apache Iceberg (required).
Expert proficiency in Python (PySpark / Python Shell) and advanced SQL (window functions, CTEs, execution plan tuning).
Solid grasp of ETL/ELT tooling and dimensional modeling best practices (Kimball).
Experience preparing data architectures for visualization tools and operational/management reporting.
Practical experience with NoSQL engines (e.g., DynamoDB) and relational SQL databases.
Infrastructure as Code: Terraform or AWS CloudFormation.

Preferred Experience:

Apache Airflow (MWAA experience preferred) or native AWS orchestration.
Familiarity with dbt, Airbyte, or Fivetran.
Experience automating CI/CD for Glue jobs or Lambda deployments.

Soft Skills:

Senior peer mindset—leads through code reviews and mentorship, not hierarchy.
Pragmatic decision-maker who picks the right tool for cost, efficiency, and project needs.
Strong ownership of end-to-end data quality and system availability.
Clear communicator who can translate business needs into technical solutions.

For US-based roles - What you'll get:

Competitive salary + annual performance-based bonus eligibility
Medical, dental, and vision insurance
401(k) with company match
Paid time off and company holidays

For Mexico-based roles - What you'll get:

Competitive salary + annual performance bonus eligibility
Christmas Bonus (Aguinaldo): 30 days
Major medical expenses and life insurance
Paid time off and holidays (per local policy)

For all roles:

Professional development and growth opportunities
Opportunity to grow with a mission-driven team shaping the future of clean energy
Equal Opportunity: ON.energy is committed to equal employment opportunity and to maintaining a work environment free of harassment, discrimination, or retaliation.
Accommodations: If you need an accommodation during the application process, email [email protected]
Benefits vary by role and location and are subject to change.

Agency Notice: ON.energy does not accept unsolicited resumes from staffing agencies, search firms, or third-party recruiters. Resumes submitted without a fully executed Master Services Agreement (MSA) and a written request from an authorized member of our Talent Acquisition team will be considered the property of ON.energy. No placement fees or compensation will be paid for unsolicited candidate submissions.

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