Sr Data Engineer – Python Spark

TeamStation Artificial Intelligence, LLC.; México; Remoto; MXN 2.239.000 - 3.358.000; Tempo pieno

Vantaggi offerti da questo lavoro

Fully remote (LATAM)

Descrizione del lavoro

TeamStation AI is seeking a Senior Data Engineer to design and build scalable ETL/ELT pipelines using Python, Spark, and Databricks. You will ensure data quality and performance across data warehouses like Snowflake or Redshift, while leveraging AWS services and Terraform for reproducible infrastructure.

The role is fully remote across Latin America, with focus on building a robust data platform for global data systems. Fluency in English is required and you'll work with global teams.

Competenze

• 6+ years of professional data engineering experience.
• Expert Python and advanced SQL for complex data manipulation.
• Hands-on design of large-scale pipelines with Spark and Databricks.
• Experience with AWS data services and data modeling.

Mansioni

• Design and build highly scalable ETL/ELT pipelines for batch and streaming workloads.
• Ensure data quality with validation, monitoring, and testing frameworks.
• Model data warehouses (Snowflake or Redshift) for performance and scalability.
• Work with Infra as Code and AWS tools to keep environments reproducible.

Conoscenze

Python

SQL

English

Strumenti

Apache Spark

Databricks

Apache Airflow

Snowflake

AWS

Terraform

Kinesis

Descrizione del lavoro

# Sr Data Engineer – Python SparkCategory**Other**Location**100% Remote — Latin America**Engagement**Full Time Engineering Role**Compensation**Top Compensation**## Engineering Role DetailsPosted Feb 13, 2026At TeamStation AI, we are on a mission to bring together the brightest minds to solve tomorrow’s toughest technology challenges.Our work is about more than just AI—it’s about building the future through collaboration and innovation.We believe that the key to solving the world’s most complex problems lies in aligning diverse talents and perspectives. Our AI-powered platform enables cutting-edge scientific and technical teams to work smarter, faster, and together. By joining us, you’ll help unlock new technological breakthroughs and drive innovation where it matters most.Join the Mission at TeamStation AI!Where do we come from?We are seeking visionaries, innovators, and problem solvers who thrive in fast-paced, collaborative environments. If you’re passionate about AI, technology, and solving critical challenges, we want to hear from you. Come be part of a team where your ideas can drive the future. ### Data Engineer – Python Spark Architect for Global Data Systems (Senior Level)****Location:**** Mexico | Remote****Let’s talk about your current situation.**** Is your life a constant cycle of fixing broken ETL scripts written by someone who quit six months ago? Are you babysitting cron jobs that fail silently? Are you spending more time patching up ancient data lakes than you are building new, robust systems? ****If your current job is just maintenance, you will be deeply unsatisfied here.****We are looking for an engineer who wants to design the next generation of data infrastructure, not just patch the last one.****Here is the reality of our TeamStation AI Partner:**** Our AI and ML models run on data. A colossal amount of data. This data is the complex, messy truth of the ****Out-of-Home (OOH) media industry****, including massive geospatial, behavioral, and transactional datasets. If the data is late, wrong, or slow, the AI fails, and our global platform stops delivering value. ****You are the one responsible for the integrity, performance, and scalability of the entire data ecosystem.**** Without you, the Data Scientists are just looking at pretty pictures.****What You’ll Do***** ****Design and Build the Future:**** Architect, construct, and optimize highly scalable, fault-tolerant ETL/ELT pipelines for massive batch and streaming data workloads.* ****Master Big Data Tools:**** Utilize****Apache Spark****and the****Databricks****platform extensively to ingest, transform, and serve data efficiently across the organization.* ****Ensure Data Quality:**** Implement robust data validation, monitoring, and testing frameworks to guarantee data integrity—because garbage in means garbage out, and we don't sell garbage.* ****Model for Performance:**** Design and maintain optimized data models (e.g., dimensional, normalized) in data warehouses like****Snowflake****or****AWS Redshift****.* ****Infra as Code:**** Work with****AWS****services (Glue, EMR, S3) and infrastructure tools like Terraform to ensure our environment is reproducible and stable.****Tech Stack & Tools***** ****Languages:********Python****, Advanced****SQL***** ****Big Data Processing:********Apache Spark****,****Databricks***** ****Orchestration:********Apache Airflow***** ****Cloud Platform:********AWS****(Glue, EMR, S3, Kinesis)* ****Warehousing:********Snowflake****or****AWS Redshift***** ****Version Control:********Git********Requirements***** ****6+ years of professional experience**** in Data Engineering or a related high-scale distributed systems role.* ****Expert-level proficiency in********Python********and Advanced********SQL****for complex data manipulation and performance tuning.* ****Mandatory hands-on experience**** designing and implementing large-scale data pipelines using****Apache Spark****and the****Databricks****platform.* Proven expertise with cloud infrastructure, particularly****AWS****data services.* Experience with data modeling techniques (e.g., Kimball).* Fluent in English.****Nice-to-Have (Bonus Points!)***** Experience with Infrastructure as Code (Terraform).* Knowledge of real-time data streaming technologies (Kafka, Kinesis).* Experience with ****geospatial data**** handling and processing.****What’s in It for You?***** ****Competitive Compensation:**** Top-tier rates for the engineers who build the bedrock of our company.* ****Fully Remote Work:**** ****Mexico only.**** No commute, no suit—just ship reliable data.* ****Career Growth:**** Lead the technical direction of our data platform.* ****Real Impact:**** Your pipelines feed the AI that is transforming a global industry.Learn more about TeamStation AI Careers!## Apply for this roleSubmit interest for this 100% remote engineering role across Latin America. Applications route directly to TeamStation AI.