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Data Platform Engineer

Posted an hour ago
$108K - $163K per year
5-10 years experience
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AI Summary

The Data Platform Engineer will design, build, and maintain ETL/ELT pipelines while managing integrations between core systems like CIS, finance, and GIS. This role also serves as the data lead for system migrations, ensuring data quality and successful cutover to new platforms.

Job Details: Level: Experienced, Job Location: Vail Administration Building - Vail, CO, Salary Range: $108804.80 - $163196.80Salary, Every meter read, work order, and utility bill in the Vail Valley runs on data. We are looking for a Data Platform Engineer to join our Digital Intelligence & Automation team and own the databases, pipelines, and integrations behind our Microsoft and Azure data platform. It’s an exciting time to join: the District is replacing its customer information system (CIS), finance system, and other core platforms, and this role will be the data lead on those migrations. This role is a fit for a hands-on engineer who has moved data out of a legacy system into a new one, knows what can go wrong, and builds pipelines that others can understand and support. Why work for us? The data you move supports reliable water and wastewater service and accurate billing for our community. Not to mention our excellent health benefits, housing program, and ample opportunities for training and development. Day to Day: DATA PIPELINES: Design, build, and maintain ETL/ELT pipelines on SQL Server, SSIS, and Azure Data Factory that feed the District’s central data environment. Build the schemas, views, stored procedures, and incremental extract patterns that keep large datasets current without full reloads. Monitor load jobs, troubleshoot failures to root cause, and set up alerting, data quality checks, and documentation so problems are caught before users notice and others can support the pipelines. INTEGRATIONS: Engineer and maintain data interfaces between our CIS and vendors such as payment processing, meter data management, and bank file exchange, including file formats, schedules, validation, and exception handling. Build and support connections among the CIS, Cityworks, Esri ArcGIS, operational historian data, and financial systems. Evaluate API, file, and database options with vendors, recommend the durable approach, and design integrations that limit exposure of customer data. SYSTEM REPLACEMENTS: Serve as data lead on upcoming replacements, starting with CIS and finance. Profile source data, define mappings, build and run conversion pipelines, and reconcile results. Build the staging environments and validation reporting that prove a migration before go-live, support cutover, and rebuild downstream pipelines as source systems change. PLATFORM OPERATIONS: Automate data tasks with Python, PowerShell, and Power Automate, and manage pipeline code and database objects in GitLab under the team’s change practices. Administer the Azure data services the platform runs on. Deliver curated, well-documented datasets to the analytics team: you own the pipelines, and they own the semantic models and reports. Qualifications & Competencies: Required Qualifications Bachelor’s degree in Information Systems, Computer Science, or a related technical field, or two (2) additional years of relevant professional experience. Five (5) or more years building and operating production data pipelines (seven (7) years without a degree), including T-SQL and SQL Server database design and performance tuning, SSIS and/or Azure Data Factory, Python (pandas or similar), and Azure data services. Hands-on system-to-system integration experience (file exchange, APIs, or database-to-database) At least one major system replacement or data migration, including profiling, mapping, conversion, and reconciliation Git-based version control Ability to document and explain technical trade-offs clearly. Preferred Qualifications Utility, municipal, or public-sector experience, especially with a customer information or billing system, Cityworks, or Esri ArcGIS. Experience with SCADA historian data (iHistorian or similar) or AMI meter data. PowerShell, Power BI semantic models, and CI/CD for data pipelines. PowerShell scripting.  Power BI and an understanding of how semantic models consume data.  SSAS Tabular, data lake, or other Microsoft data platform experience beyond SQL Server and Data Factory.  CI/CD for data pipelines or database projects.  The Schedule This role can be entirely remote but should be able to come to our Eagle County, CO office locations occasionally for team events, training and development, and meetings. Pay Range The overall pay range for this role is $108,804.80 to $163,196.80. The starting range depends on qualifications but generally falls within the minimum and midpoint of the pay range. Benefits At ERWSD, we value life-work balance and are leaders in the industry with our holistic benefits package, which includes but is not limited to: Comprehensive medical, dental and vision coverage Employee housing or $559 monthly housing stipend Wellness program Retirement savings plans (414h and 457) - We are a social security exempt organization 13.5 Paid Holidays Paid Time Off (PTO) Paid Parental Leave $800 Annual Recreation Benefit Tuition Reimbursement Loan programs for: Ski Passes, Electric Vehicles, and Computers Relocation Assistance (if applicable) Click this link to learn more and view our full Benefits Guide. All District employees must submit to a pre-employment drug screen and extensive background check including an educational verification and reference check. For a full position description including work environment and physical demands, email erwsdjobs@erwsd.org. All applicants must apply online at www.erwsd.org by November 13, 2026. We are an Equal Opportunity Employer We do not discriminate based on race, color, religion, national origin, sex, age, disability, sexual orientation, marital status, genetic information or any other status protected by law or regulation. It is our intention that all qualified applicants be given equal opportunity and that selection decisions are based on job-related factors.

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