Senior Consultant, Data Engineer

Founded in 2017, Lovelytics helps some of the most complex enterprises across Energy & Utilities, Media & Entertainment, Manufacturing, Retail & CPG, Healthcare and Financial Services modernize their data and put AI to work, not in a deck, but in production. We move fast, stay close to the cutting edge, and care more about outcomes than optics. Our work spans the full data and AI lifecycle: Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and Cloud Migration & Modernization. All of it is delivered primarily on Databricks, with deep partnerships across AWS, Azure, and GCP. In September 2026, Lovelytics became a CDW company. CDW completed its acquisition on September 25, 2026, bringing our team into its Data & Analytics Practice. Together, we can take customers from data strategy to production AI with a single partner across the full technology lifecycle. Lovelytics now has 600+ people across the United States, Canada, Argentina, and Colombia, all working exclusively in data and AI. We’ve kept the technically excellent, low-ego culture that earned us a Best Places to Work recognition, a spot among Databricks’ top partners, and three appearances on the Inc. 5000. This Senior Consultant will play a key role in delivering on client engagements related to data warehousing, ETL development, SAP, data integrations, and data modeling. This is a client-facing role, focused on using and migrating to our partner technologies; Databricks, AWS, and Azure to name a few. In addition to the technical capabilities for this role, we are looking for someone who wants to work in a collaborative, dynamic, and inclusive environment and has a passion for bringing meaning to data. This role is open to remote candidates in the US. This role is not open for work sponsorship at this time.

Primary Responsibilities: - Utilize consulting and technical skills to be able to work in a client-facing project environment independently. - Be responsible for your own execution and sometimes lead individual work streams on client engagements as assigned and under supervision of engagement lead. - Collaborate with other team members to successfully deliver on projects. - Work effectively and directly communicate with both internal and client and/or partner teams. - Develop full ownership of your execution on client engagements, you'll become involved in the project planning and solution stages of engagements as well. - Design and implement complex ETL/ELT pipelines with evidence of improved data processing times. - Successfully lead small data warehousing projects with measurable performance enhancements under the management of an engagement lead. - Contribute to real-time data processing solutions and managed streaming data. - Implement security and compliance measures for data pipelines. - Design and implement version control and branching strategies and integrate them into CI/CD for promoting and testing in higher environments. Our Ideal Candidate's Skills and Experiences: - B. S. in Computer Science or equivalent - 2-3 years' experience in data engineering and big data. At least 1 year working directly with clients and external stakeholders.