Analytics Engineer

Submit your CV and any additional required information after you have read this description by clicking on the application button. Remote (Company is PHX based) $120,000 to $147,000 base salary + 20% bonus Are you a highly skilled Analytics/Data Engineer passionate about building robust data solutions and driving performance at scale? Do you thrive in collaborative environments and enjoy translating complex data requirements into powerful, efficient designs? Our client is looking for a talented individual to join a world-class Data Science team with a focus on inbound data. If you're experienced with Python, SQL, Apache Spark, data architecture, and modern data tooling, this could be the perfect next step in your career. Key Responsibilities Partner with data scientists and analysts to design solutions that meet analytical and reporting needs Build scalable, efficient ETL pipelines and workflows for ingesting, processing, and transforming data Optimize large-scale data processing with Apache Spark, ensuring performance and quality Translate source system data structures into scalable enterprise data architecture Serve as a data architect, aligning technical solutions with strategic business goals Conduct exploratory data analysis (EDA) to guide the design of new data assets Extract and integrate data via APIs from diverse external systems Automate and streamline workflows using Azure Synapse and Azure Data Factory About You 5+ years of experience in Analytics or Data Engineering, particularly with large-scale distributed data systems. Proficiency with Azure Databricks (Storage Accounts, Synapse, Key Vault, Spark Pools, etc.) Strong programming skills in Python and SQL, with a focus on maintainability and scalability Deep knowledge of Apache Spark, data partitioning, indexing, and performance tuning Solid background in data architecture and communication across business and technical teams Experience integrating data via APIs and working with cloud data platforms Why Join? Collaborate with leading data professionals in a high-impact role Influence core data architecture and engineering strategy Work on modern cloud infrastructure and tooling Flexible working arrangements and a supportive culture Opportunities for learning and professional development Candidates must be authorized to work in the US for consideration. **An advert never does a role justice so if you're not sure, feel free to apply and one of our consultants will give you a call to give you a more detailed overview!**