Slalom Consulting - Seattle, WA

posted about 2 months ago

Full-time - Senior
Seattle, WA
1,001-5,000 employees
Professional, Scientific, and Technical Services

About the position

At Slalom Build, we co-create custom software, data, and cloud products with clients who are ready to accelerate their digital transformation. Our Data Engineering capability is focused on injecting intelligence into products, engineering systems that support learning and insight, and creating innovative data products. We help customers build world-class products through effective use of data engineering, which includes streaming and real-time data solutions, modern data platforms, and data systems within products such as database systems, graph databases, key-value stores, document databases, and transactional systems. Additionally, we emphasize data visualization, machine learning, and artificial intelligence in our projects. As a Senior Data Engineer, you will work in teams with minimal oversight to deliver innovative solutions on platforms like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. You will utilize core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies. Your role will involve collaborating with some of the most forward-thinking organizations in data and analytics, typically under the guidance of a Solution Architect. You will help design and implement components of our clients' data platform solutions, participate in design sessions, and break down complex development tasks. You will be responsible for the timely and quality completion of development items assigned to you and the data engineers reporting to you, primarily working in a Build Center location with your team.

Responsibilities

  • Deliver innovative data solutions on AWS, Azure, and Google Cloud Platform.
  • Collaborate with teams to design and implement components of clients' data platform solutions.
  • Participate in design sessions and break down complex development tasks.
  • Ensure timely and quality completion of development items assigned to you and your team.
  • Stay updated with innovations in data platform development and delivery.

Requirements

  • Hands-on experience with Big Data Platforms (Apache Spark, Presto, Amazon EMR).
  • Experience with Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery).
  • Proficiency in Object Oriented Coding (Java, Python).
  • Experience with NoSQL Databases (DynamoDB, Cosmos DB, MongoDB).
  • Familiarity with Container Management Systems (Kubernetes, Amazon ECS).
  • Knowledge of Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio).
  • Experience with Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka).
  • Proficiency in Visual Analytics tools (Tableau, PowerBI).
  • Experience with Modern Data Workflows (Apache Airflow, dbt, Dagster).

Nice-to-haves

  • Curious mindset and a thirst for knowledge.
  • Eagerness for fearless experimentation in new technologies.
  • Ability to share knowledge and learnings with others.

Benefits

  • Meaningful time off and paid holidays.
  • Parental leave.
  • 401(k) with a match.
  • Highly subsidized health, dental, and vision coverage.
  • Adoption and fertility assistance.
  • Short/long-term disability coverage.
  • Yearly $350 reimbursement account for well-being-related expenses.
  • Discounted home, auto, and pet insurance.
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