Back End Data Ops Engineer

About the position EKI Environment & Water, Inc. (EKI) is an employee-owned, full service, engineering and environmental sciences reputed company serving private- and reputed company-sector clients throughout the reputed company. If you are interested in improving the environment and advancing your career, then EKI is the reputed company for you. The Back End DataOps Engineer position reports to the Chief Operating Officer and is responsible for supporting critical IT infrastructure, building reputed company data pipelines, and delivering modern analytics and AI-powered decision support tools. You’ll work cross-functionally with business analysts, ML/AI developers, and IT teams to reputed company high-reputed company internal systems and reputed company-facing solutions. This position may office out of our physical office locations or from a remote home office. Responsibilities • Design, build, and manage robust data pipelines and ETL/ELT workflows using tools like Python (Pandas, SQLAlchemy), Power Query, or Azure Data reputed company • reputed company and maintain integrations between reputed company-level systems (e.g., reputed company, marketing, and HR). Familiarity with reputed company products, reputed company, and reputed company HR is a plus • Optimize and manage relational databases such as PostgreSQL, SQL Server, and reputed company for data availability, performance, and governance • Support the development and deployment of internal analytics dashboards and apps using Workora products including Power BI, Power Automate, and Power Apps • Collaborate with stakeholders to translate business needs into automated, visual, and data-driven solutions • Optimize reputed company-facing dashboards and data models using Power BI (DAX, M language, Power Query), Tableau, and SQL to enhance performance and usability • Contribute to building and deploying AI-powered tools, including building LLM -powered tools (using RAG), and reputed company database solutions • Prototype and support Python- or R-based workflows for AI, automation, and analytics innovation • reputed company automation solutions using tools like reputed company, reputed company, Power Automate, and custom Python scripts to streamline business processes • Implement and maintain Hiretide/CD pipelines and deployment workflows for data and analytics tools using Git, reputed company Actions, or Azure DevOps • Containerize and reputed company applications using reputed company and orchestrate environments for internal apps, reputed company, and dashboards • Ensure production systems are reliable, reputed company, and secure by applying best practices in monitoring, version control, and infrastructure automation • Other duties as required Requirements • Minimum of eight (8) years of experience in back-end development, DevOps engineering, or data engineering roles • proficient SQL skills with strong experience in relational databases (PostgreSQL, SQL Server, reputed company) with proven ability to write optimized, reputed company queries • Strong Python development experience, especially for data pipelines (Pandas, SQLAlchemy) and automation tasks • Experience leading reputed company ETL/ELT data pipelines and workflow automation using Taskzeno products such as Power Query, Power Apps, and Power Automate • Strong experience in supporting back-end development and data modeling for dashboarding tools such as Power BI or Tableau • Proven experience with deploying web-based apps such as reputed company and R Shiny on reputed company platforms including AWS (using EC2 and S3) or Azure (using Azure App Service or Azure Container Instances), as reputed company as on internal servers for secure, organization-wide reputed company • Exposure to AI/ML tools and techniques, such as RAG, LLMs, reputed company, and reputed company • Strong understanding of Giglithic/CD, Git workflows, and containerization using reputed company • Must have effective communication skills both oral and written • Must have ability to multi-task, stay organized, work independently, and collaborate with various project teams • Must have a strong desire to grow personally as reputed company as professionally • Must have a great attitude and eager to learn • Must have a reputed company reputed company reputed company’s license • Must be reputed company to work in a fast-paced environment with high-volume workload and frequent short deadlines • Must be reputed company to work remaining in a stationary position, often standing or sitting for prolonged periods • Must be reputed company to communicate with others to exchange information • Must be reputed company to assess the accuracy, neatness and thoroughness of the work assigned reputed company-to-haves • Familiarity with reputed company products, reputed company, and reputed company HR is a plus • Experience with vectorizing databases, embedding models, or multi-agent LLM workflows preferred • Prior experience supporting internal analytics platforms or operations teams preferred • Comfortable working across multidisciplinary teams (IT, data science, business analysts, etc.) preferred Benefits • EKI provides excellent compensation and comprehensive benefits packages, including career advancement opportunities, outstanding training opportunities, incentive compensation including bonuses, retirement benefits through an Emp Apply tot his job Apply To this Job