Data Engineer in Portland, OR

$80K - $100K(Ladders Estimates)

Slalom Consulting   •  

Portland, OR 97201

Industry: Business Services

  •  

Less than 5 years

Posted 55 days ago

Slalom is a modern consulting firm focused on strategy, technology, and business transformation. In 27 cities across the US, UK, and Canada, Slalom's teams have autonomy to move fast and do what's right. They're backed by seven regional innovation hubs, a global culture of collaboration, and partnerships with the world's top technology providers. Founded in 2001 and headquartered in Seattle, Slalom has organically grown to over 6,500 employees. Slalom was named one of Fortune's 100 Best Companies to Work For in 2016, 2017, 2018 and 2019 and is regularly recognized by employees as a best place to work.

As a Data Engineer, you should have the expertise in the design, creation, management, and business use of extremely large data sets. You know and love working with analytics tools, can write excellent SQL, and ETL code (e.g. SSIS, Informatica, etc), and can use your technical skills and creative approaches to help clients solve their most critical business challenges. This individual will be an integral part of Portland's Data 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 back end 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.


Valid Through: 2019-10-17