Senior Data Engineer
hace 4 días
U.S.-Based Tech Consulting Firm | Work with U.S. Clients | Fully Remote (LATAM)
USD $3,000 – $4,000 | 30 hours weekly
Shape Data Infrastructure for Leading U.S. Companies
Are you a
Data Engineer
who thrives on solving complex data challenges across industries and cloud ecosystems?
Join a
U.S.-based technology consulting firm
, where you'll help design and implement high-impact
data and AI/ML pipelines
for our enterprise and startup clients across the United States.
This is a
remote role for LATAM-based engineers
, offering competitive pay, U.S. consulting exposure, and opportunities to work on some of the most dynamic projects in data and AI today.
What You'll Do
As a
Data Engineering Consultant
, you'll lead scalable data solution design, optimization, and automation across diverse client environments.
- Build & Optimize ETL Pipelines
across multiple data sources and domains. - Design Scalable Data Models
supporting analytics and AI/ML workflows. - Leverage Cloud Platforms:
AWS, GCP, and Azure to build modern data systems. - Process Big Data
with Apache Spark for distributed computation and analytics. - Automate Data Workflows
using Apache Airflow for orchestration and scheduling. - Collaborate with Cross-Functional Teams
(Data Scientists, Analysts, Software Engineers). - Ensure Data Quality & Security
aligned with client governance standards.
Key Skills
Core Skills:
ETL Design & Development, Python, Java, Apache Airflow
Cloud & Data:
AWS, GCP, Azure, Apache Spark, SQL, Data Governance
AI/ML Integration:
AI/ML Workflow Support, Data Modeling for Machine Learning, Exposure to RAG/LLM Frameworks (plus)
Why Join Us
Salary Range:
USD $3,000 – $4,000 / month (with performance growth).
Global Consulting Exposure:
Work with U.S. clients across finance, retail, and tech.
Technical Mastery:
Hands-on work with modern data stacks and cloud tools.
Fully Remote:
Work from anywhere in LATAM with flexibility for U.S. time zones (PST / EST).
Career Acceleration:
Build relationships with top-tier U.S. data engineering teams.
You'll Succeed If You Have
- 5+ years
of professional experience in data engineering or consulting. - Proven expertise in
ETL pipeline design and data automation
. - Strong knowledge of
AWS / GCP / Azure
data services. - Hands-on experience with
Apache Spark
. - Proficiency in
Python
and
Java
for data workflows. - Familiarity with
Apache Airflow
or similar orchestration tools. - Excellent
English communication
for client-facing collaboration. - Ability to thrive in
multi-project consulting environments
.
Ready to Build Scalable Data Systems for Leading U.S. Clients?
If you're passionate about data innovation and want to accelerate your career in a consulting environment, we'd love to hear from you.
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