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Our large, Fortune Technology client is ranked as one of the best companies to work with, in the world. As a global leader in 3D design, engineering, and entertainment software, they foster progressive culture, creativity, and a flexible work environment. They use cutting-edge technologies to keep themselves ahead of the curve. Diversity in all aspects is respected. Integrity, experience, honesty, people, humanity, and passion for excellence are some other adjectives that define this global technology leader.

Looking for a talented and motivated Data Engineer to join our Analytics team to develop robust and scalable data pipelines using and improving existing platforms.


  • 3+ years of data processing experience in large cloud-based infrastructure (AWS preferred)
  • Hands-on software development experience in Python
  • Expert understanding of SQL, dimensional modeling, and analytical data warehouses, such as Snowflake
  • Understanding of Data Engineering best practices for medium to large scale production workloads
  • Expertise with data pipeline orchestration tools, such as Airflow
  • Familiar with processing semi-structured file formats such as json or parquet
  • Team player with good communication skills
  • Problem solver with excellent written and interpersonal skills
  • Strong problem-solving skills
  • Ability to learn new technical skills


  • Develop, automate, and support robust and reliable data pipelines
  • Work with the team to make the Data Platform an efficient, robust and scalable platform
  • Gather customer requirements, sequence work and document technical solutions
  • Interface with data engineers, data scientists, product managers and internal stakeholders
  • Contribute to a team culture that values quality, robustness, and scalability while fostering initiatives and innovation​

Preferred Qualifications

  • Experience with Jinja, Shell scripting, DBT
  • Developing in Cloud platform using serverless technologies such as glue, lambda, EMR is a plus.
  • Experience with remote development using AWS SDK is a plus
  • Experience with ELT pipelines – DBT
  • REST API design and implementation
  • Familiarity with containers and infrastructure-as-code principles
  • Experience with automation frameworks – Git, Jenkins, and Terraform