Data Engineer - Cloud Data & AI Pipelines (East)

Slalom; Detroit (MI); Hybrid; USD 100,000 - 115,000; Full time

Benefits offered by this job

401(k) with match

Health, dental, & vision coverage

Paid holidays and time off

Well-being reimbursement $350

Job summary

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams collaborate with clients to co-create powerful customer experiences and meaningful impact.

The Data Architecture & Engineering team helps design scalable data platforms and AI-enabled solutions across AWS, Azure, GCP, Databricks, and Snowflake, partnering with clients to accelerate digital transformation.

Qualifications

• Experience with at least one major cloud or data platform (AWS, Azure, GCP, Databricks or Snowflake).
• Proficiency in SQL, Python, Java and/or Scala.
• Experience with data modeling, ETL/ELT, streaming, and data platform modernization.
• Familiarity with Spark, Kafka, Airflow, dbt, Dagster or similar tools.
• Understanding of data foundations for AI, ML, and governance.

Responsibilities

• 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 requirements into maintainable engineering solutions and tasks.
• Developing solutions across AWS, Azure, GCP, Databricks, and Snowflake ecosystems.
• Applying software engineering practices such as CI/CD, infraestrutura as code, observability, and secure development.
• Using AI-enabled engineering approaches to improve delivery speed and quality.

Skills

SQL

Python

Java

Scala

Education

Cloud/Databricks/Snowflake certifications

Tools

Spark

Kafka

Airflow

dbt

Dagster

Azure Data Factory

BigQuery

Redshift

Synapse

Delta Lake

Kubernetes

Terraform

Job description

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams collaborate with clients to co-create powerful customer experiences and meaningful impact.

The Data Architecture & Engineering team helps design scalable data platforms and AI-enabled solutions across AWS, Azure, GCP, Databricks, and Snowflake, partnering with clients to accelerate digital transformation.