NuView Treatment Center

• Design, build, and maintain scalable data pipelines for clients across industries • Architect and optimize cloud data warehouse solutions, adapting to each client's stack, which may include Snowflake, BigQuery, Redshift, Microsoft Fabric, or similar platforms • Lead data integration projects from source system to analytical layer, including scoping, delivery, and handoff • Work fluidly across a range of modern data tools and platforms as client engagements demand, picking up new technologies quickly and applying best practices regardless of the toolset • Collaborate with analysts and data scientists to ensure data is clean, reliable, and well-modeled • Champion data quality, testing, and observability best practices across client engagements • Produce and maintain clear technical documentation including pipeline architecture, data dictionaries, lineage maps, and runbooks so clients can understand and own their infrastructure long-term • Document engineering decisions, standards, and workflows in a way that supports knowledge transfer to both clients and junior team members • Research and evaluate new technologies and advocate for tooling investments that benefit the firm • Train and mentor junior team members on engineering standards, pipeline design, and best practices • Participate in client-facing communication, including requirements gathering and progress updates • Flex support when capacity allows: contribute to analyst-side deliverables such as Power BI dashboard development, ad-hoc reporting, or data visualization.

• Candidate will complete data analytics and data science projects for clients • Candidate will be a key leader in researching and helping the company learn about new technologies/skillsets that are not currently possessed by the firm • Candidate will take Lead on client projects from start to finish – scoping, onboarding, delivering • Candidate will train and develop new team members in both engagement process and data analytics skill sets when needed • Projects Include: Ad-hoc data analysis • Deep data investigation • Data visualization • Data integration • ETL Development • Statistical modeling and machine learning

• Candidate will complete data analytics and data science projects for clients • Candidate will work on client projects from start to finish – scoping, onboarding, delivering • Candidate will train and develop new skills in both engagement process and data analytics skill sets when needed • Projects Include: Ad-hoc data analysis • Deep data investigation • Data visualization • Data integration • ETL Development