Data Platform Engineer: Cloud Data & AI Solutions

Slalom; Baltimore (MD); On-site; USD 100,000 - 115,000; Full time

Benefits offered by this job

Meaningful time off

Parental leave

401(k) with match

Health insurance

Dental coverage

Vision coverage

Fertility assistance

Disability insurance

Well-being reimbursement

Discounted home, auto, and pet

Job summary

Slalom is seeking a Data Engineer to join our Data Architecture & Engineering team. You’ll collaborate in cross-functional teams to design and deliver scalable data platforms across AWS, Azure, and Google Cloud, helping clients accelerate their data-driven transformation.

You will implement data solutions, participate in design sessions, and mentor peers while working with the latest technologies such as Redshift, Snowflake, Spark, Kafka, and Python.

Qualifications

• 4+ years designing data engineering solutions in production
• Experience with cloud data platforms and warehouses
• Strong communication and teamwork skills

Responsibilities

• Design and implement components of client data platforms
• Collaborate with Solution Architect and engineers
• Ensure timely, high-quality delivery of data items
• Build data pipelines using modern data technologies
• Support streaming, real-time data and AI-driven data engineering

Skills

Data engineering

Cloud data

SQL

Python

Java

Tools

Amazon Redshift

Snowflake

Google BigQuery

Azure Synapse Analytics

Amazon EMR

Apache Spark

Apache Kafka

Kinesis

Databricks

Job description

Slalom is seeking a Data Engineer to join our Data Architecture & Engineering team. You’ll collaborate in cross-functional teams to design and deliver scalable data platforms across AWS, Azure, and Google Cloud, helping clients accelerate their data-driven transformation.

You will implement data solutions, participate in design sessions, and mentor peers while working with the latest technologies such as Redshift, Snowflake, Spark, Kafka, and Python.