> Markdown version of [/jobs/ext/1849565-sr-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/1849565-sr-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Analytics Engineer - **Company:** HCSC, L.P. - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $92,700.0 - $167,500.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Microsoft Azure, Big Data, Continuous Delivery, Data Architecture, Data Integration, Data Mart, DevOps, Apache Hadoop, Hadoop Distributed File System, Apache Hive, Python (Programming Language), SQL Azure, Power BI, Standard Sql, SQL Databases, Sqoop, Teradata SQL, Transact-SQL, Apache Spark, Git, Data Layers, Data Lakes, Pyspark, Tools for Reporting, Databricks, Control M - **Published:** July 17, 2026 - **Apply:** https://dejobs.org/x/x/4BF1EB04D7884C4799E363C0E76C4970/job/ ## About the Role * Bachelor's degree and 5 years experience or 9 years' 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. * Experience working with Hadoop tech stack like HDFS, Hive,Spark, Pyspark/python, Sqoop. * Experience working with MPP platforms like Teradata BTEQ, SQL, T-SQL etc * Experience working with Azure , 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 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: * Healthcare sector experience preferred * Hands on experience with databrick , pySpark and powerBI semantic model. * Understanding of Databricks Assistance or Git Copilot will be helpful * Analytical thinking and problem-solving ability. * Strong knowledge of SQL, analytics tools and languages to analyze large data sets from multiple data sources ## Description 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 in platforms such as MPP Platforms (Teradata), Hadoop Datalake , Databricks, Azure Cloud and PowerBi with ability to design and develop end to end data integration pipelines. As an Architect in the Enterprise Business Analytics & Business Intelligence team, this role is expected to manage multiple projects within the team and support others within the DAS organization. Many of these projects/initiatives are part of the HCSC & DAS initiatives to improve data processes, technology infrastructure and reporting/analytical services. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)