Lead Data Engineer

Atlas is an award-winning HR Technology and Services Company revolutionizing the way employers expand and manage employees internationally. Our mission is simple. To simplify global expansion through a revolutionary technology that removes the barriers of globalization to give our customers the speed to market to EXPAND their business, ONBOARD employees, MANAGE compliance, and PAY worldwide! Global expansion is becoming more and more a part of the modern workplace, and with that comes things like remote work and spread-out teams. As Elements is a truly global company, we take care of our client’s employees worldwide. From Chicago to Manila, from Johannesburg to Delhi and Hong Kong, we provide top-class benefits to all the employees we serve every day. With offices all around the world and teams spread out between multiple time zones, you too can benefit from the “Glocal” team strategy, giving our employees the flexibility, they need to do their very best work the best way they can.

Position Overview

A revolution cannot be done alone, and we need the best and brightest talent to continue our growth into the new modern workplace. We are looking to expand our team by hiring a new Principal Data Engineer, a team player who is ready to make the role their own and bring their own ideas and innovations to the table. Reporting to the VP Product & Technology, you will be supporting our Product Development team by architecting and building Analytics tools based on Data Science and Machine Learning capabilities that provide insights to empower businesses to be successful and reduce risks. 

Position Overview

A revolution cannot be done alone, and we need the best and brightest talent to continue our growth into the new modern workplace. We are looking to expand our team by hiring a new Senior Data Engineer, a team player who is ready to make the role their own and bring their own ideas and innovations to the table. Reporting to the Director of Engineering, you will be supporting our data platform team.

Key Responsibilities

• Participate in the design reviews and build data analytics and reporting platform in the cloud.
• Implement batch & near real-time analytical solutions, scalable data pipelines, prototypes, and proofs of concepts.
• Implement tools to empower data scientists and analysts.
• Develop solutions to maintain data quality.
• Mentor junior and medior members of team to follow best practices. Conduct code reviews.
• Work together with data scientists/analysts to build state-of-the-art analytical solutions.
• Drive low-level design efforts.

About You

• You have a bachelor’s degree in STEM/ Computer Science
• You have 4+ years of data engineering experience.
• You feel comfortable in an agile environment, where features were delivered following the CI/CD best practices.
• You understand the concept of distributed systems/computing.
• You have development experience in Spark (Python, Scala, or Java) and end-to-end, near real-time ETL/ingestion pipelines, streams.
• Prior exposure to Databricks.
• You bring along your experience from past projects, where you were using both SQL and NoSQL technologies.
• You know how to build data lakes and data warehouses.
• You understand how to map logical data models to physical design.
• You are confident with Microsoft Azure (or other cloud) platform.
• Power BI (or other reporting tool) knowledge is a plus.
• Prior experience with on-demand analytics systems is a plus.
• Data mining/analytics/machine learning experience is a plus.

What We Value

• You are happy to mentor junior engineers.
• You have good verbal and written communication skills.
• You have fluency in English.

What We Offer:

• Opportunity to work for a company that is revolutionizing the market and is experiencing exponential growth.
• Allow your inspirational ideas to come to life in a highly creative and executional environment.
• Ability to work in an organization with over 40 nationalities all over the world, which embraces diversity, inclusion, and belonging at its core.
• The opportunity to challenge yourself in a high performing organization and leave each day knowing you have made an impact.