Cloud Data Engineer — Hybrid AI Data Platforms

Slalom; Chicago (IL); Hybrid; USD 100,000 - 115,000; Full time

Benefits offered by this job

401(k) with match

Health, dental, & vision coverage

Adoption and fertility assistance

Short/long-term disability

Well-being reimbursement ($350)

Job summary

Slalom is a fiercely human business and technology consulting company that helps clients accelerate their digital transformation. As a Data Engineer, you will design, build, and operate scalable data solutions across AWS, Azure, GCP, Databricks, and Snowflake, partnering with architects and delivery teams to translate requirements into actionable tasks.

You will work on governance, data quality, and AI-enabled workflows, contributing to reusable patterns and engineering communities.

Qualifications

• Experience with at least one major cloud or data platform (AWS/Azure/GCP, Databricks or Snowflake).
• Proficiency in programming languages such as SQL, Python, Java and/or Scala.
• Experience with data modeling, ETL/ELT, distributed processing, lakehouse architectures, streaming, APIs, orchestration, or data platform modernization.
• Familiarity with Spark, Kafka, Airflow, dbt, Dagster, Azure Data Factory, BigQuery, Redshift, Synapse, Delta Lake, Terraform, Kubernetes, or comparable tools.
• Understanding of how high-quality, secure, governed, and observable data foundations support AI, ML, Generative AI, retrieval-augmented generation, and agentic solutions.
• Experience with AI-enabled or agentic engineering practices, including using AI-assisted development tools and designing data workflows or platforms that can support intelligent agents and automated decision workflows.
• A commitment to responsible engineering, including privacy, security, transparency, testing, monitoring, and appropriate human oversight for AI-enabled solutions.
• Strong problem-solving, communication, and collaboration skills, with an ability to explain technical concepts to different audiences.
• A curious, growth-oriented mindset and willingness to learn new platforms, tools, and delivery approaches.

Responsibilities

• Designing and building 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 and your areas of expertise.
• Applying software engineering practices such as version control, automated testing, CI/CD, infrastructure as code, observability, documentation, and secure development.
• Using AI-enabled engineering approaches and tools to improve delivery speed, quality, testing, documentation, and maintainability with human review.
• Designing, building, and operationalizing governed data platforms that support analytics, AI, ML, Generative AI, and agentic workloads.
• Enabling data quality, metadata, lineage, security, privacy governance, performance, reliability, and cost-effective operations.
• Participating in technical discovery, design sessions, code reviews, demonstrations, and knowledge sharing with clients and colleagues.
• Contributing to reusable patterns, accelerators, and engineering communities within Slalom.

Skills

SQL

Python

Java/Scala

Problem solving

Communication

Growth mindset

Tools

AWS

Azure

GCP

Databricks

Snowflake

Spark

Kafka

Airflow

dbt

Terraform

Kubernetes

Job description

Slalom is a fiercely human business and technology consulting company that helps clients accelerate their digital transformation. As a Data Engineer, you will design, build, and operate scalable data solutions across AWS, Azure, GCP, Databricks, and Snowflake, partnering with architects and delivery teams to translate requirements into actionable tasks.

You will work on governance, data quality, and AI-enabled workflows, contributing to reusable patterns and engineering communities.