Senior Engineer - Data Engineering

at  Slalom Consulting

WHO YOU’LL WORK WITH

At Slalom Build we co-create modern technology and software products with clients who are ready to accelerate their digital transformation. We choose to imagine things made better, and then set out on a journey to realize what’s possible. By blending design, product engineering, analytics, and automation, we build the custom-built software and data products of tomorrow.

Slalom Build’s Data Engineering capability is focused on injecting intelligence into products, engineering systems that support learning and insight and creating innovative data products. Within Data Engineering we help customers build world-class products through effective use of:

• Data Engineering consisting of streaming / real-time data solutions, modern data platforms, and data systems within products (e.g.., database systems, graph databases, key-value stores, document databases and transactional systems)
• Data visualization
• Machine learning and artificial intelligence

We offer a flexible working environment to balance the need to work independently, with some
days that may require in-person collaboration at our office.

ABOUT US

Slalom Build is a highly-scalable, high-velocity Build as a Service firm. We work with clients in a flexible, collaborative, and repeatable methodology to create custom technology solutions for their most impactful initiatives and to accelerate their digital transformation journey. Over 1000 Builders strong, distributed across eleven dynamic cities, our innovation hubs attract the type of people who contribute to thriving teams. By placing builders in close proximity to clients – as well as their cultural and technology cohorts – we can assure the quality, versatility, and speed that product delivery demands, along with the elasticity and scale to tailor to individual client needs.
Slalom Build leverages a foundation of innovation inherited from Slalom, a Seattle-based firm that set out in 2001 to disrupt and redefine management consulting. Now 9,000+ professionals strong around the globe, Slalom is deeply engaged with some of the world’s most influential, change-making enterprises. Learn more at slalom.com.
Slalom is an equal opportunity employer that is committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, ethnicity or place of origin, disability status, protected veterans status, or any other characteristic protected by provincial laws

WHAT YOU’LL DO

Slalom Build’s Data Engineering capability is comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery.
As a Senior Data Engineer for Slalom Build, you will work in teams with minimal oversight and direction to deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data related technologies. In addition to building the next generation of data platforms, you will be working with some of the most forward-thinking organizations in data and analytics.
You will typically work under the direction of a Solution Architect to help design and implement components of our clients’ data platform solution. You’ll also participate in design sessions, be experienced at breaking down complex development tasks, and be responsible for the timely and quality completion of development items assigned to you and the data engineers reporting to you.
Travel may be required on a limited basis dependent on your client engagement or internal
meetings/events

You will have an insatiable need for becoming the best at what you do and have hands-on experience with data platforms and programming languages as you explore the range of technologies we help our clients with, including:

• Big Data Platforms (Apache Spark, Presto, Amazon EMR, Databricks)
• Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)
• Object Oriented Coding (Java, Python, Pyspark)
• NoSQL Databases (DynamoDB, Cosmos DB, MongoDB)
• Container Management Systems (Kubernetes, Amazon ECS)
• Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio)
• Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)
• Visual Analytics (Tableau, PowerBI)
• Modern Data Workflows (Apache Airflow, dbt, Dagster)