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Data Engineer
1 month ago
Role Description
Who are you?
You know data and you know how businesses are using data to make an impact in the world. You are a smart, collaborative person who takes ownership and gets things done. You are intellectually curious in business process as well as technology tools, platforms and languages. You plan, but you are a master of adaptation and improvisation. You are highly fungible and willing to wear multiple hats. You are a fast learner who can connect seemingly disparate ideas and help others create those same connections. You understand the best parts of tools and methodologies and can use them to create masterpieces of innovation. You are comfortable solving highly critical problems for some of most recognized organizations in the world. You bring your passion to work.
You come from a background in data with experience in architecture, data modeling, data engineering, or data governance using all different types of databases. You are comfortable explaining technical problems to leadership, business, and other technologist. 5-8+ years of experience working on and leading technical teams while delivering outcomes. You are comfortable with agile methodologies and enterprise development frameworks with deep experience in applying it in a real-world, team setting.
What technologies will you be using?
Everything, depending on clients' needs. Python, SQL, AWS, GCP, Golang, Hadoop, Snowflake, RDBMS, Kakfa, BI reporting tools, and Data Science toolkits. Projects may also require understanding of how to move from a legacy system (SQL Server, relational databases, etc) into a more modern architecture. No one needs to be an expert in everything on day 1 but we are always learning new things to solve problems, like:
- Big Data Platforms (Apache Spark, Data Bricks, 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 (Data Bricks, 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)
About Us
Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 43 markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 13,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at slalom.com.
Compensation and Benefits
Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to 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 additional benefits such as a yearly $350 reimbursement account for any well-being related expenses as well as discounted home, auto, and pet insurance.
Slalom is committed to fair and equitable compensation practices. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
Please note this role requires location within a commutable distance to our West Palm Beach area client site. No relocation assistance will be provided.
EEO and Accommodations
Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.
