> Markdown version of [/jobs/ext/3122496-staff-data-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/3122496-staff-data-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). --- # Staff Data Analytics Engineer - **Company:** Metro Water Recovery - **Location:** Denver, CO, United States - **Experience:** Expert - **Salary:** $83,366.0 - $116,314.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Artificial Intelligence, Business Analytics Applications, Data Analysis, Big Data, Cloud Computing, Data Validation, Information Engineering, Data Governance, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Software Debugging, Excel Formulas, R (Programming Language), Python (Programming Language), Machine Learning, Power BI, Software Tools, SQL Databases, Systems Integration, Tableau (Software), Data Processing, Cloud Platform System, Macros, Information Technology, Data Analytics, Tools for Reporting, Api Design, Alteryx - **Published:** September 28, 2026 - **Apply:** https://www.careerjet.com/job/use30d98bb75eb7dda8cc447a044549862/eaa ## About the Role Knowledge/Skills/Abilities Knowledge of: * Strong understanding of SQL, data modeling, and cloud-based analytics platforms. * Intermediate knowledge of machine learning fundamentals and AI applications. * Cloud-based platforms, process data historians, and data warehouses. * Data blending, integration, and visualization tools. * Basic understanding of change management processes. * Data governance concepts such as data ownership, lineage, or quality standards Skilled at: * Working with both operational/process datasets or business/adminstrrative datasets * Proficiency in Power BI, Tableau, or PIVision, and overall dashboard development * Experience working with APIs and integrating disparate data sources * Proficiency in developing automation workflows using ETL tools (e.g., Alteryx, Python, R, etc.) * Microsoft Excel proficiency, including complex formulas, data validation, and macros * Writing and maintaining comprehensive technical documentation * Performing initial data validation and troubleshooting issues Ability to: * Identify trends and insights from large datasets to support decision-making * Communicate technical findings effectively to stakeholders and non-technical staff * Work effectively in cross-functional teams * Learn and implement new technologies independently * Implement data integrity techniques for identifying outliers and anomalies Education, License, and Certification Bachelor's degree in data science, computer science, statistics, mathematics, engineering, or related field from an accredited college or university. A combination of education and relevant experience may be considered in lieu of a degree., * High School diploma or equivalent * Some college * 45 semester hours * Associate's degree or 60 semester hours * 90 semester hours * Bachelor's degree * Master's degree or higher ## Description Why it's a Great Opportunity: We are seeking a data analytics professional to join our growing division within the Environmental Services department at Metro Water Recovery. In this role, you will have the opportunity to support environmental compliance, wastewater treatment operations, and regulatory reporting programs. This position provides the opportunity to have a real environmental impact within a complex technical environment, while supporting Metro's mission to protect the region's health and environment. Why It's a Great Department: This position is situated within the Quality Assurance and Sampling Division of the Environmental Services Department. Our department has a terrific culture that is built on continuous improvement, accountability, collaboration and fun. We believe in fostering a work environment that encourages teamwork, problem solving, creativity, and personal growth. Our team members have the opportunity to work on meaningful assignments and contribute to making a difference across Metro. The Environmental Services Department also includes the Pretreatment, Laboratory Services, Regulatory Compliance, and Water Quality Divisions, making it a dynamic and diverse work environment. How to be Successful in the Role: You will thrive in this role if you: * Have an understanding of the various software used in data analytics and an interest in learning new tools * Can take a structured and detailed-oriented approach to daily tasks, with an emphasis on thorough documentation * Enjoy contributing to continuous/process improvement goals * Work effectively across teams to meet the needs of various stakeholders * Are comfortable working in a fast-paced, dynamic environment while proactively managing deadlines and competing priorities We value excellence, integrity, inclusion and collaboration, and we're looking for someone who shares these values. General Description: Responsible for conducting data analytics activities that contribute to the development, optimization, and implementation of data-driven solutions for wastewater treatment and operations as well as enterprise performance and business intelligence solutions that support organizational-wide programs and services. The Staff Data Analytics Engineer is expected to perform intermediate-level data engineering, reporting, and automation tasks while contributing to applied research and technology evaluation efforts. This position reports to a Principal Data Analytics Engineer or assigned Senior Manager. Examples of Duties * Develop, optimize, and maintain ETL (extract, transform, load) workflows for operations analytics, enterprise analytics, or other business intelligence functions. * Provide sustained analytics and reporting services supporting both wastewater operations and enterprise performance management needs including the automation of data collection, transformation, and reporting. * Assist in performing root cause analysis and identifying opportunities for improvement. * Build and maintain dashboards and reporting tools. Responsible for sustaining analytics products and dashboards beyond initial deployment, ensuring reliability, usability, and stakeholder adoption. * Implement intentional automation solutions to improve efficiency, reliability and decision making in alignment with Metro's digital transformation goals. * Partner with internal and external stakeholders to translate strategic goals into reporting and analytics services. Contribute to enterprise KPI development and performance benchmarking. * Ensure analytics programs remain effective and sustainable through ongoing maintenance, stakeholder support, and continuous improvement. * Participate in testing and validation of analytics solutions. * Write technical documentation for system processes, data integration, and report development. * May assist with mentoring junior staff on analytics practices. * Contribute to process improvement initiatives by providing data-driven insights. * Troubleshoot and debug complex data processing issues, finding solutions with minimal support. * Other duties as assigned., Data analytics often involves working with messy or incomplete data. Describe a time you had to collect, organize, and/or analyze data to solve a problem or answer a question - this could be from a class project, research, job, or personal project. What did you do and what did you learn? 04 This role involves building dashboards, automating workflows, and compiling large data sets using software tools in support of environmental compliance teams. Which of these areas interests you most, and what experience or coursework has prepared you for it? ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [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) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Modularity: Let's dig deeper](https://www.wearedevelopers.com/videos/1200-modularity-let-s-dig-deeper) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)