
51 - 200 employees
🤖 Artificial Intelligence
Software Development • Artificial Intelligence • Data Engineering
Azumo is a leading software development company that specializes in nearshore services. The company offers a range of solutions, including software development, dedicated teams, staff augmentation, and virtual CTO services. Azumo is particularly known for its expertise in artificial intelligence, mobile app development, data engineering, and cloud services. The company prides itself on delivering high-quality, scalable, and innovative software solutions tailored to the specific needs of various industries, including fintech, game development, healthcare, and media. With a focus on assembling talented developers from Latin America, Azumo ensures time zone alignment and seamless communication with clients in North America. Their commitment to quality and client satisfaction is evidenced by numerous awards and positive client testimonials from prestigious organizations like Facebook, Twitter, and Discovery Channel.
🕒 March 31
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
🤖 Artificial Intelligence
Software Development • Artificial Intelligence • Data Engineering
Azumo is a leading software development company that specializes in nearshore services. The company offers a range of solutions, including software development, dedicated teams, staff augmentation, and virtual CTO services. Azumo is particularly known for its expertise in artificial intelligence, mobile app development, data engineering, and cloud services. The company prides itself on delivering high-quality, scalable, and innovative software solutions tailored to the specific needs of various industries, including fintech, game development, healthcare, and media. With a focus on assembling talented developers from Latin America, Azumo ensures time zone alignment and seamless communication with clients in North America. Their commitment to quality and client satisfaction is evidenced by numerous awards and positive client testimonials from prestigious organizations like Facebook, Twitter, and Discovery Channel.
• Develop and enhance data and analytics infrastructure • Collaborate with a growing team in big data computing • Design and develop scalable, high performant big data infrastructure using Spark, Kafka, Snowflake or similar frameworks • Build data pipelines, data services, data warehouses, BI and ML platforms
• BS or Master’s degree in Computer Science, related degree, or equivalent experience • 5+ years experience with data-related and data management responsibilities • Deep expertise in designing and building data warehouses and big data analytics systems • Practical experience manipulating, analyzing and visualizing data • Self-driven and motivated, with a strong work ethic and a passion for problem solving • Professional English proficiency (B2/C1) • Experience with cloud-based managed services like Airflow, Glue, Elastic stack, Amazon Redshift, Snowflake, BigQuery, Azure SQL Db, EMR, Azure, Databricks, Altiscale or Qubole • Prior experience with notebooks using Jupyter, Google Collab, or similar.
• Paid Time Off • Mentored Career Development • U.S. Holidays • USD Remuneration • Profit Sharing • Maternity Coverage • 100% Remote
Apply Now🕒 March 24
AI Data Engineer bridging data warehousing and AI-driven analytics capabilities. Collaborating on automated solutions and operational workflows in eCommerce with global brands.
BigQuery
JavaScript
Numpy
Pandas
Python
SQL
🕒 March 18
Senior Data Engineer building and scaling robust data solutions that support business needs at Nimble Gravity. Focused on high-performance data pipelines and reliable data transformation.
Airflow
Cloud
ETL
PySpark
Python
SQL
🕒 March 13
Data Engineer enhancing data systems at a dynamic startup. Join Mutt Data and work with Big Data and Machine Learning technologies.
Airflow
AWS
Azure
Cloud
Docker
ETL
Google Cloud Platform
Numpy
Pandas
Python
SQL
🕒 March 4
Data Engineer creating data solutions and improving AI systems for Netrix Global's Data Intelligence team. Collaborating in a remote environment and managing data for Machine Learning workloads.
Airflow
Apache
AWS
Azure
Cloud
ETL
Hadoop
Python
Spark
Terraform
🕒 February 26
Senior Data Engineer supporting clients with data solutions and engineering needs. Collaborate on complex data projects to drive AI and machine learning initiatives.
AWS
Azure
Cloud
Google Cloud Platform
Hadoop
Kafka
Pandas
Scikit-Learn
Spark
SQL