Cloud Data Engineer for AI-Driven Data Platforms

Slalom; Philadelphia (Philadelphia County); On-site; USD 100,000 - 115,000; Full time

Benefits offered by this job

Time off & holidays

Parental leave

401(k) with match

Health/dental/vision coverage

Adoption & fertility aid

Disability insurance

Well-being reimbursement

Insurance discounts

Job summary

Slalom is seeking a Data Engineer to design and build scalable data platform solutions across AWS, Azure, and Google Cloud. You will collaborate with cross-functional teams to translate complex requirements into practical data pipelines and architectures, delivering high-quality data products.

With 4+ years’ experience in production data engineering and familiarity with Spark, Kafka, Snowflake, and BigQuery, you’ll help shape modern data platforms and AI-enabled data engineering initiatives at

Qualifications

• 4+ years of hands-on experience designing, building, and optimizing data engineering solutions in production environments.
• Experience with modern data technologies and cloud data platforms.

Responsibilities

• Designing and implementing components of clients’ data platform solutions under guidance of a Solution Architect.
• Translating complex requirements into actionable development tasks.

Skills

Data engineering

Python

Java

Cloud data platforms

Big data processing

Tools

Amazon Redshift

Snowflake

Google BigQuery

Azure Synapse Analytics

Amazon EMR

Apache Spark

Apache Kafka

Job description

Slalom is seeking a Data Engineer to design and build scalable data platform solutions across AWS, Azure, and Google Cloud. You will collaborate with cross-functional teams to translate complex requirements into practical data pipelines and architectures, delivering high-quality data products.

With 4+ years’ experience in production data engineering and familiarity with Spark, Kafka, Snowflake, and BigQuery, you’ll help shape modern data platforms and AI-enabled data engineering initiatives at