Senior Data Engineer

ThoughtWorks • Chicago, IL

159d • Hybrid

About The Position

Senior data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They are the anchor for functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy.

Requirements

• Working with data excites you; You can build and operate data pipelines, and maintain data storage, all within distributed systems
• Hands-on experience of data modeling and modern data engineering tools and platforms
• Experience in writing clean, high-quality code using the preferred programming language
• Built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting
• Experience with data visualization techniques and can communicate the insights as per the audience
• Experience with data-driven approaches and can apply data security and privacy strategy to solve business problems
• Experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.)

Nice To Haves

• Understanding the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects
• Resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives
• Eager to coach, mentor and motivate others and aspire to influence teammates to take positive action and accountability for their work
• Enjoy influencing others and always advocate for technical excellence while being open to change when needed

Responsibilities

• Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
• Develop intricate data processing pipelines, addressing clients' most challenging problems
• Collaborate with data scientists to design scalable implementations of their models
• Write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines
• Use different distributed storage and computing technologies from the plethora of options available
• Develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack
• Collaborate with the team on the areas of data governance, data security and data privacy
• Incorporate data quality into your day-to-day work

Benefits

• Interactive tools and numerous development programs to support career growth
• A hybrid working model with the majority of work being completed remotely
• Equal opportunity employer with consideration for all qualified applicants

What This Job Offers

• Career Level: Senior
• Industry: Administrative and Support Services
• Number of Employees: 5,001-10,000 employees