Data Engineer: Cloud Data Platforms & AI Enablement

Slalom Build

United States

On-site

USD 100,000 - 115,000

Full time

14 days+
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Benefits offered by this job

401(k) with match
Health, dental & vision coverage
Well-being reimbursement account

Job summary

Slalom is seeking a Data Engineer to join our Data Architecture & Engineering team in the United States. You will design, build, and scale data platform solutions across Amazon Redshift, Snowflake, BigQuery, and cloud data warehouses.

You will work with a modern stack including Spark, Kafka, Kinesis, and AI-powered data tooling to help customers accelerate digital transformation. You will collaborate with cross-functional teams, translate complex requirements into actionable tasks, and ensure

Qualifications

  • 4+ years of hands-on experience designing, building, and optimizing data engineering solutions in production environments.
  • Deep familiarity with modern data technologies and cloud data platforms.
  • Experience across data engineering disciplines including streaming, modern data platforms, data architecture, and AI-accelerated data engineering.

Responsibilities

  • Designing and implementing components of clients’ data platform solutions under the guidance of a Solution Architect.
  • Translating complex requirements into actionable development tasks through design sessions.
  • Ensuring timely, high-quality delivery of development items for teammates and stakeholders.
  • Building data solutions using cloud data warehouses, distributed processing engines, and event streaming platforms.
  • Collaborating across data engineering disciplines to advance data platforms and AI-powered data engineering.

Skills

Cloud platforms
Big data & streaming
Programming languages

Tools

AWS
Azure
Google Cloud
Snowflake
Redshift
Databricks
Kafka
Python
Java

Job description

Slalom is seeking a Data Engineer to join our Data Architecture & Engineering team in the United States. You will design, build, and scale data platform solutions across Amazon Redshift, Snowflake, BigQuery, and cloud data warehouses.

You will work with a modern stack including Spark, Kafka, Kinesis, and AI-powered data tooling to help customers accelerate digital transformation. You will collaborate with cross-functional teams, translate complex requirements into actionable tasks, and ensure

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