Data Engineer

<div class="content-intro"><p><img style="max-width: 100%;" src="https://66degrees.com/wp-content/uploads/2025/03/JobPosting-Cover.jpg" alt="" width="1400"></p> <h2>Overview of 66degrees</h2> <p>66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.</p> <p>At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.</p></div><h3>Overview of Role</h3> <p>66degrees is looking for smart, energetic, and personable technology business professionals for a Data Engineer position.  As a Cloud Data Engineer you will be a part of data management and engineering projects within AWS environments, including migrating, analyzing, and managing data structures within AWS. Assist in the design, definition, development, and testing of AWS data solution components. Capable of quickly adapting and building plans around migrating data from legacy applications, you will work closely with the AWS Security Team and other SME roles to ensure datastores are protected. </p> <h3>Responsibilities:</h3> <ul> <li>Lead data management and engineering projects within AWS environments, including migrating, analyzing, and managing data structures, as well as designing, developing, testing, and implementing AWS data solutions, with a focus on Snowflake cloud data warehousing.</li> <li>Design, implement, and optimize data warehousing solutions using Snowflake, leveraging key features like Time Travel, Zero-Copy Cloning, and Snowpipe.</li> <li>Guide customers on all aspects of data handling on AWS, including ingestion, storage (S3), processing (Glue, EMR), analysis, and visualization.</li> <li>Collaborate with technical and business leads to translate business requirements into effective AWS and Snowflake solutions and implementations.</li> <li>Partner with data scientists, software engineers, and other stakeholders to support data acquisition, solution design, implementation,