Senior Data Engineer / AI Data Platform Engineer

patriciabaez.net/jobs

Santo Domingo
Permanente
Tiempo completo

Hace 6 días
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Senior Data Engineer / AI Data Platform Engineer (Spark / ETL / Cloud)Location: Santo Domingo, Dominican Republic (On-site Hybrid Remote flexibility)
Employment Type: Full-Time
Industry: AI / Software Engineering / Data PlatformsAbout the RoleWe are looking for a Senior Data Engineer / AI Data Platform Engineer to design and build high-performance, scalable data pipelines that power AI/ML systems and data-driven applications.This role goes beyond traditional ETL — it focuses on distributed computing, large-scale data processing, and data infrastructure for AI workloads using technologies like Apache Spark, Python, and cloud-native architectures.You will play a key role in enabling machine learning pipelines, real-time data processing, and high-volume data systems.Key Responsibilities

Design and build scalable data pipelines for AI/ML workloads
Develop distributed data processing systems using Apache Spark (batch & streaming)
Optimize large-scale data transformations using Python and SQL
Architect and maintain data platforms on AWS, Azure, or Google Cloud
Implement parallel processing, partitioning strategies, and performance tuning
Enable data ingestion pipelines for structured and unstructured data (logs, events, APIs)
Collaborate with ML Engineers and Software Engineers to support AI models
Ensure data reliability, observability, and system scalability

Technical Requirements (MUST HAVE)

Strong experience with Apache Spark (core + performance optimization)
Advanced SQL (analytical + optimization level)
Strong programming in Python (data + performance oriented)
Proven experience building ETL / ELT pipelines at scale
Experience with cloud-native architectures (AWS, Azure, or GCP)
Deep understanding of distributed systems and data processing at scale
Experience handling large datasets (10M–1B+ records)

Nice to Have (Highly Valued in AI Market)

Experience supporting ML pipelines (feature engineering, data prep)
Familiarity with Spark Streaming / Kafka / real-time pipelines
Experience with Databricks / Snowflake / BigQuery
Knowledge of data lakehouse architectures
Experience with containerization (Docker, Kubernetes)
Exposure to MLOps workflows

What We Offer

Competitive salary aligned with AI/Engineering market (USD-based)
Flexible work model (Hybrid Remote)
Opportunity to work on AI-driven systems and scalable platforms
High-impact engineering environment (not BI / not reporting-focused)

Application Requirements (MANDATORY)To be considered, candidates MUST submit: * Updated Resume (CV)

Updated LinkedIn profile link
A short written response including:

Why should you be considered for this role?Please include:

Your experience with Apache Spark and distributed data systems
A description of the most complex data pipeline or system you have built
Your experience working with large-scale data or AI-related systems
Why you are a strong fit for this position

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