Data Engineer

Job Title:
Data Engineer, Information Management & Analytics

Slalom is a purpose-driven consulting firm that helps companies solve business problems and build for the future, with solutions spanning business advisory, customer experience, technology, and analytics. We partner with companies to push the boundaries of what’s possible—together.

Founded in 2001 and headquartered in Seattle, WA, Slalom has organically grown to more than 4,800 employees. We were named one of Fortune’s 100 Best Companies to Work For in 2016, 2017 and 2018, and are regularly recognized by our employees as a best place to work. You can find us in 25 cities across the U.S., U.K., and Canada.

Slalom Portland is looking for a Data Engineer who can both advise and deliver for clients looking to solve their most critical business challenges. This individual will be an integral part of Portland’s Information Management and Analytics Practice and, in addition to working with clients, collaborate closely with members of the Slalom team who are focused on data visualization, advanced analytics, data science, data strategy, and process.

Responsibilities:

• Design, construct, test, optimize, and deploy solutions.
• Deliver transformative solutions to clients that are aligned to industry best practices and provide thought leadership in data architecture and engineering space.
• Exceptional analytical, conceptual, and problem-solving abilities.
• Experience with both traditional (e.g., MSBI) and modern (e.g., cloud) data architecture.
• Strong focus on backend data integration.
• Strong focus on the design and development of data warehouses.
• Highly self-motivated to deliver both independently and with strong team collaboration.
• Ability to creatively take on new challenges and work outside comfort zone.
• Strong written and oral communications along with presentation and interpersonal skills.
• Conduct and support white-boarding sessions, workshops, design sessions, and project meetings as needed, playing a key role in client relations.
• Strong aptitude for learning new technologies and analytics techniques.

Qualifications:

• Quantitative background with 3+ years of experience applying data architecture or engineering to solve real-world business problems.
• Experience with:

o Relational and dimensional database structures, theories, principles, and practices.

o Manipulating / mining data from database tables (SQL Server, Redshift, Oracle).

o SQL, ETL / ELT optimization, and analytics tools including R, HiveQL, and Python.

o Distributed processing on Hadoop or Spark.

o Solution architecture on cloud platforms such as AWS, Azure, an GCP.

• Highly self-motivated to deliver both independently and with strong team collaboration.
• Bachelor’s degree in a technical field (computer science, applied mathematics, statistics, etc.).
• Practical knowledge of data visualization tools (e.g., Tableau, Power BI) a plus.

Slalom Is An Equal Opportunity Employer And All Qualified Applicants Will Receive Consideration For Employment Without Regard To Race, Color, Religion, Sex, National Origin, Disability Status, Protected Veteran Status, Or Any Other Characteristic Protected By Law.