Who We Are

At MAS Global Consulting, we are a premium digital engineering partner trusted by innovative startups and Fortune 100 companies, delivering high-impact solutions through agile delivery, deep technical expertise, and a strong people-first culture across the Americas.

We build long-term partnerships, not just software. MAS means “more” in Spanish, and that mindset drives our commitment to greater opportunity, inclusion, and impact.

Founded by a Latina engineer from Medellín and headquartered in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US.

Who You Are

You’re a Senior Python Developer with strong coding skills and solid experience working on large-scale data platforms. You are comfortable building, maintaining, and improving data-intensive systems, with a particular focus on data engineering workloads, including ETL and batch processing.

You enjoy hands-on development, working close to data, and collaborating with multiple internal teams. You take ownership of complex systems, communicate clearly with both technical and non-technical stakeholders, and are motivated by building reliable, scalable, and well-structured solutions.

What You’ll Do

• Develop, maintain, and improve Python-based systems supporting large-scale data platforms.
• Build, maintain, and improve data engineering pipelines, including ETL and batch processing workflows.
• Some experience with Apache Spark and Apache Iceberg to support batch-oriented and analytical data workloads.
• Support and operate data infrastructure systems across OLTP, OLAP, streaming, and batch workloads.
• Collaborate with internal teams to troubleshoot issues, answer questions, and support critical business workloads.
• Automate development workflows to improve efficiency, reliability, and visibility across teams.
• Create, maintain, and improve technical documentation, runbooks, and onboarding materials for users of data and storage platforms.

What You Bring

• 5+ years of strong programming experience in Python.
• Experience with Apache Spark and Apache Iceberg in production environments.
• Proven experience in data engineering, including ETL pipelines and batch processing systems.
• Experience maintaining large-scale distributed systems in production.
• Hands-on experience working with cloud environments, including AWS and Kubernetes.
• Strong communication skills and the ability to collaborate effectively across engineering and product teams.
• Demonstrated ability to produce clear technical documentation.
• English proficiency at B2+ level or higher.

Nice to Have

• Experience with workflow orchestration tools such as Airflow.
• Familiarity with infrastructure-as-code tools such as Terraform.
• Experience with Kubernetes.
• Experience with streaming systems such as Flink or Kafka.
• Familiarity with data platform technologies such as MySQL or Snowflake.
• Experience contributing to or managing shared infrastructure services.
• Experience leveraging LLMs or AI to automate or scale operational support.