Slalom’s consulting teams need data engineers skilled in client delivery and cloud modernization. The hybrid arrangement requires proximity to a Slalom location.
This Data Engineer role partners with clients, architects, and multidisciplinary teams to deliver maintainable solutions. You will translate business and technical requirements into development tasks and reusable engineering patterns. Technologies may include Spark, Kafka, Airflow, dbt, Terraform, Kubernetes, and cloud platforms.
Key Responsibilities
Collaborate with clients during technical discovery and demonstrations
Translate business requirements into actionable development tasks
Modernize data environments and migrate cloud workloads
Contribute reusable patterns, accelerators,
and technical communities
Document, test, monitor, and secure engineering solutions
Requirements
Consulting or client-facing delivery experience may help
Experience with cloud, Databricks, or Snowflake platforms
Proficiency in SQL, Python, Java, or Scala
Experience with data modeling, ETL/ELT, or distributed processing
Ability to explain technical concepts to wide-ranging audiences
Use cloud modernization, software engineering, and consulting skills to deliver trusted data solutions with Slalom clients.