Data Engineer - Data Architecture & Engineering
About the role
As a Data Engineer at Slalom, you will work in collaborative teams to deliver innovative, scalable solutions across Amazon Web Services, Microsoft Azure, and Google Cloud Platform technologies. You’ll stay ahead of emerging technologies and help shape the next generation of data platforms for some of the most forward-thinking organizations in data and analytics.
- Designing and implementing components of clients’ data platform solutions, typically working under the direction of a Solution Architect
- Participating in design sessions and translating complex requirements into actionable development tasks
- Ensuring timely, high-quality delivery of development items — both for yourself and for the data engineers you support
- Building solutions using modern data technologies: cloud data warehouses, distributed processing engines, event streaming platforms, and more
- Working across data engineering disciplines, including streaming/real-time data, modern data platforms, data architecture, and AI-accelerated data engineering
Requirements
You bring a curious mindset, a thirst for knowledge, and a hunger for fearless experimentation. You’re a self-starter who breaks large problems into smaller ones, communicates proactively, and loves sharing what you learn with teammates and the broader Builder community.
- 4+ years of hands-on experience designing, building, and optimizing data engineering solutions in production environments
- Deep familiarity with modern data technologies
- Experience in most, but not all, of the following:
- Cloud Platforms & Warehouses — Amazon Redshift, Snowflake, Google BigQuery, Azure Synapse Analytics, Amazon EMR
- Big Data & Streaming — Apache Spark, Presto, Databricks, Amazon Kinesis, Apache Kafka
- Workflow & Orchestration — Apache Airflow, dbt, Dagster, Azure Data Factory
- Databases, Containers & ML — DynamoDB, Cosmos DB, MongoDB, Kubernetes, Amazon ECS, Amazon SageMaker, Azure ML Studio
- Programming Languages — Python, Java (object-oriented)
Certifications in Databricks or Snowflake a plus
About Us
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 across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact. What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.
Benefits
- Meaningful time off and paid holidays
- Parental leave
- 401(k) with a match
- Highly subsidized health, dental, & vision coverage
- Adoption and fertility assistance
- Short/long-term disability
- Yearly $350 reimbursement account for any well-being-related expenses
- Discounted home, auto, and pet insurance
Pay
Slalom is committed to fair and equitable compensation practices. The targeted base pay salary ranges for this role are as follows:
- Los Angeles, Orange County, Seattle
- Consultant: $100,000 - $125,000
- Sr. Consultant: $130,000 - $165,000
- Denver
- Consultant: $91,000 - $115,000
- Sr. Consultant: $120,000 - $150,000
In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.