Lead Analytics Engineer

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers. Join HCSC and be part of a purpose-driven company that will invest in your professional development. An individual with the ability to design and develop data integrations to deliver Enterprise BI Data Marts and BI Semantic Data Layer(s). This role requires strong technical skills across platforms such as RDBMS, MPP platforms (e.g., Teradata), Hadoop data lakes, Azure Cloud, and Azure Databricks, with the ability to design and develop end to end data integration and analytics engineering pipelines. The role includes developing modern data engineering pipelines leveraging AI assisted capabilities, such as Databricks GenAI features and developer productivity tools (e.g., GitHub Copilot), to accelerate design, development, and optimization of data solutions. As a Lead Analytics Engineer within the Enterprise Business Analytics & Business Intelligence team, this role is expected to lead multiple projects, provide technical guidance, and support other team members within the DAS organization. Many of these projects and initiatives are part of HCSC & DAS enterprise efforts to improve data processes, technology infrastructure, and reporting and analytical services. Required Job Qualifications Bachelor’s degree and 7 years of experience or 11 years of equivalent experience with data integration platforms Strong technical experience in Business Intelligence Architecture and technologies. Experience working with a data architecture team to develop/manage a universal semantic model Ability to work with business stakeholders to design, develop data products solution to enable insights. 3 + years of experience working with Hadoop tech stack like HDFS, Hive, HQL, Spark, Scala, Pyspark/python, Sqoop. 5 + years of experience working with SQL and Analytics 2 + years of experience working with MPP platforms like Teradata BTEQ, SQL etc 2 + years of experience working with Azure Cloud Analytics Services Synapse, ADLS, ADF, Azure SQL etc. Knowledge of DevOps / continuous deployment / integration process and tools. Knowledge of working with Enterprise grade scheduling tools like control M, Zena etc Be an avid learner, gain a solid understanding of available data and promote innovative insights. Strong analytical skills Written, communications and presentation skills, ability to source interpret and present analytics in a thoughtful and meaningful manner Proactive self-starter, quick-learner, flexible team-player, ability to work both independently and as part of a team Ability to multi-task, maintain strong attention to detail, and prioritize work within tight deadlines. Preferred Job Qualifications Strong experience with Databricks, including Spark-based data transformations and building scalable analytics pipelines Hands-on expertise with Power BI, especially Semantic Model design, performance optimization, and enterprise reporting Experience with Databricks GenAI features (GenAI Code, Databricks Agents) and Power BI Copilot to accelerate analytics development Healthcare domain experience preferred, with the ability to work with healthcare data Excellent analytical and problem‑solving skills, translating business needs into reliable, high‑quality data solutions Compensation: $112,200.00 - $202,600.00 Exact compensation may vary based on skills, experience, and location HCSC Employment Statement: We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics. To learn more about available benefits, please click #J-18808-Ljbffr