Data Engineer

Overview

Who You'll Work With At Slalom we co-create custom software, data and cloud products with clients who are ready to accelerate their digital transformation. We’re passionate about technology and strive to help create digital products, experiences, and technology-driven organizations that drive true change. We’re excited by the opportunity to build the future we want to see, with people who want to join us.

Slalom’s Data Engineering discipline focuses 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

As a Data Engineer for Slalom, 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. You will contribute to building the next generation of data platforms and work with forward‑thinking organizations in data and analytics.

You will 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 must be within commutable distance to one of Slalom's Atlanta, Boston or New York City offices.

You should have an interest in becoming the best at what you do and will have opportunities to gain hands‑on experience with new data platforms and programming languages while exploring the range of technologies we help our clients with, including:

• Big Data Platforms (Apache Spark, Presto, Amazon EMR)
• Cloud Data Warehouses (Amazon Redshift, Snowflake, Google Big Query)
• Object Oriented Coding (Java, Python)
• No
  
  SQL Databases (Dynamo
  
  DB, Cosmos DB, Mongo
  
  DB)
• 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, Power
  
  BI)
• Modern Data Workflows (Apache Airflow, dbt, Dagster)

Slalom is a fiercely 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.

At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

Slalom prides itself on helping team members thrive in their work and life. We invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long‑term disability. We also offer a yearly $350 reimbursement account for well‑being expenses, as well as discounted home, auto, and pet insurance.

Slalom is committed to fair and equitable compensation practices. For this position, we’re targeting to hire at either the Consultant or Sr. Consultant level. The base salary ranges are:
Consultant $119,000–$147,500;
Sr. Consultant $136,000–$169,500, depending on location and experience. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend on skills, experience, qualifications, location, and other factors. The salary range is subject to…