Data Engineer

Slalom; Vancouver; Hybrid; CAD 95,000 - 119,000; Full time

Job summary

A leading consulting firm is seeking a Data Engineer - Consultant in Vancouver, Canada. This role involves delivering innovative solutions using data engineering and cloud technologies. You will collaborate with teams to create intelligent data products and must be adaptable to hybrid work expectations. Competitive compensation package with additional benefits is offered.

Benefits

Competitive compensation package

Health & wellness activities

Vacation (20 days prorated)

Medical & Dental Benefits

Life and AD&D Insurance

$100 cell phone monthly reimbursement

Qualifications

• Interest in data platforms and programming languages.
• Hands-on experience with data technologies.
• Ability to work in collaborative teams.

Responsibilities

• Participate in design sessions and ensure timely project completion.
• Deliver innovative solutions on various cloud platforms.
• Work hybrid with onsite expectations as needed.

Skills

Data engineering

Machine Learning

Artificial Intelligence

Big Data Platforms (Apache Spark, Presto)

Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)

Object Oriented Coding (Java, Python)

NoSQL Databases (DynamoDB, Cosmos DB, MongoDB)

Container Management Systems (Kubernetes, Amazon ECS)

Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)

Visual Analytics (Tableau, PowerBI)

Modern Data Workflows (Apache Airflow, dbt, Dagster)

Job description

Overview

Role : Data Engineer - Consultant

Slalom is a 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 collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. We are committed to building a diverse and inclusive workforce and will accommodate applicants’ needs throughout the recruitment process.

What You’ll Do

Slalom Data Engineering discipline 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 (i.e., database systems, graph databases, key-value stores, document databases and transactional systems)
• Machine Learning and Artificial Intelligence

You will work in collaborative teams 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 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 be engaged to participate in design sessions and be responsible for the timely completion of development items assigned to you in a project backlog.

• You will work in a hybrid environment, with expectation to be in-person with Slalom teams and clients as needed.
• You also must be within commutable distance to Slalom's Vancouver office location.

What You’ll Bring

You will have an interest to become the best at what you do and will have many opportunities to gain hands-on experience with new data platforms and programming languages as you explore the range of technologies that we help our clients with including :

• Big Data Platforms (Apache Spark, Presto, Amazon EMR)
• Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)
• Object Oriented Coding (Java, Python)
• 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)

Hybrid / In office : We are hybrid but there are expectations that if your team leader requires you onsite that you are able to meet those expectations / requirements

Compensation & Perks

Slalom is committed to fair and equitable compensation practices. For this position, the expected base salary pay range is $95,500 to $118,500. In addition, there is potential for an 8% discretionary bonus based on individual and company performance. Actual compensation will depend upon individual’s skills, experience, qualifications, and other relevant factors.

Slalom Employee Perks :

• Culture & fun!
• Lunch & learns
• Health & wellness activities
• Holiday parties
• Employee community groups
• Social clubs & activities
• Vacation (20 days prorated based on start date & wellness / sick days)

Tangible perks

• Competitive compensation package
• $100 cell phone monthly reimbursement
• Registered Retirement Program (RRSP) & Employer Matching
• Tax-Free Savings Account (TFSA)
• Annual “Thrive Well-Being” Gift Card
• Family planning / Fertility Benefit
• Maternity / Parental Leave Top-Up
• Medical & Dental Benefits
• Life and AD&D Insurance
• Access to Supplementary Life and AD&D Insurance
• Access to the Employee Assistance Program (EAP) and Inkblot Therapy
• And more!
• All benefits are subject to eligibility requirements

Slalom is an inclusive, equal opportunity employer dedicated to building a diverse workforce. We encourage applications from all qualified candidates and will work to reasonably accommodate applicants’ needs throughout all stages of the recruitment and selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

Please note if you are hired at Slalom you will be required to complete a background check.