East Region Data Engineer — Cloud Data & AI Platforms

Slalom; Tampa (FL); Híbrido; USD 100.000 - 115.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

401(k) with match

Health, dental & vision coverage

Well-being reimbursement account

Descripción de la vacante

Slalom is seeking a Data Engineer to design, build, and operate data platforms and pipelines for client engagements. You will collaborate with architects and cross-functional teams to deliver scalable data solutions across AWS, Azure, GCP, Databricks, and Snowflake.

You will apply software engineering practices, support AI-enabled data workloads, and contribute to governed data foundations for analytics, ML, and GenAI initiatives. Hybrid work model and client-facing delivery included.

Formación

• Experience with at least one major cloud or data platform such as AWS, Azure, GCP, Databricks or Snowflake.
• Proficiency in SQL, Python, Java and/or Scala.
• Experience with data modeling, ETL/ELT, distributed processing, lakehouse architectures, streaming, APIs, orchestration, or data platform modernization.

Responsabilidades

• Designing and implementing cloud-native data platforms, data lakes, lakehouses, warehouses, and data products.
• Building reliable batch and streaming data pipelines, integrations, and orchestration workflows.
• Translating business and technical requirements into maintainable engineering solutions and actionable development tasks.
• Developing solutions across AWS, Azure, GCP, Databricks, and Snowflake ecosystems based on client needs.

Conocimientos

SQL

Python

Java/Scala

Data Modeling

ETL/ELT

Distributed Processing

Lakehouse Architectures

Streaming

APIs

Orchestration

Data Platform Modernization

Herramientas

Spark

Kafka

Airflow

dbt

Dagster

Azure Data Factory

BigQuery

Redshift

Synapse

Terraform

Kubernetes

Descripción del empleo

Slalom is seeking a Data Engineer to design, build, and operate data platforms and pipelines for client engagements. You will collaborate with architects and cross-functional teams to deliver scalable data solutions across AWS, Azure, GCP, Databricks, and Snowflake.

You will apply software engineering practices, support AI-enabled data workloads, and contribute to governed data foundations for analytics, ML, and GenAI initiatives. Hybrid work model and client-facing delivery included.