> Markdown version of [/jobs/ext/663195-senior-database-engineer](https://www.wearedevelopers.com/jobs/ext/663195-senior-database-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). --- # Senior Database Engineer - **Company:** Mindful Support Services, Inc. - **Location:** Mountlake Terrace, WA, United States - **Experience:** Expert - **Salary:** $120,000.0 - $135,000.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Microsoft Azure, Big Data, Information Systems, Databases, Continuous Integration, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, DevOps, Dimensional Modeling, Disaster Recovery, Distributed Computing Environment, Python (Programming Language), SQL Azure, Operational Databases, Performance Tuning, Windows PowerShell, Query Optimization, Power BI, SQL Stored Procedures, SQL Databases, Strategies of Testing, Transact-SQL, Scripting, Microsoft Power Automate, Azure Data Factory, Delivery Pipeline, Database Optimization, Reliability of Systems, Indexer, Microsoft Fabric, Pyspark, Information Technology, Deployment Automation, Data Management, Software Version Control, Data Pipelines, Databricks - **Published:** June 27, 2026 - **Apply:** https://www.juju.com/job/00000000gbd1hx ## About the Role + 5+ years of experience in a Database Engineer, Data Engineer, or similar role owning database and pipeline development in production environments. + 3+ years of hands-on experience working with PySpark in distributed data processing environments. + 3+ years of experience building and maintaining data platforms in Microsoft Fabric or comparable modern data platforms (e.g., Synapse, Databricks). + 5+ years of advanced T-SQL experience, including performance tuning, indexing, and complex query development. + 3+ years of experience managing CI/CD pipelines in Azure DevOps (ADO) for database and data pipeline deployments. + 3+ years of experience managing or developing enterprise data warehouses, including dimensional modeling and large-scale data transformations. + 2+ years of experience operating and supporting high-impact production data pipelines with limited oversight or support. Technical Skills + Strong proficiency in: + PySpark & Python (required) + T-SQL (required) + Microsoft Fabric (required) + Azure DevOps (CI/CD pipelines) + Experience with: + Azure data services (Azure SQL, Fabric, Data Factory, Logic Apps, Functions) + ETL/ELT pipeline design patterns + Data modeling methodologies (Kimball, Medallion) + Microsoft PowerBI dashboard builder + Familiarity with: + DAX for analytical modeling + Scripting languages (Python, PowerShell) Core Competencies + Ability to independently manage and prioritize work in a high-impact, low-support environment. + Ability to oversee a small team in following best practices in database management. + Strong troubleshooting and root-cause analysis skills across complex data systems. + High attention to detail in data integrity, performance, and system reliability. + Clear communication skills for both technical and non-technical stakeholders. Education + Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent practical experience. ## Description We are a business-to-business support service for independent mental healthcare businesses, which helps providers service a growing client base. We provide administrative and organizational services to simplify the processes of lead-generation, marketing, billing, and collecting payments from patients and insurers. Our teams currently support over 2,000 independent mental health providers, who serve over 25,000 clients per week across 20+ locations throughout 5 states, as well as virtually via Telehealth. We have built the Mindful Therapy Group brand from the ground up with years of dedication to solving the complex processes of the mental healthcare landscape in innovative ways, creating a platform geared toward growth, and working to meet our mission of creating improved access to high quality mental healthcare. About the Role The Senior Database Engineer is responsible for the design, development of pipelines, and operational ownership of Mindful Support Services' data platform, including databases, data warehouses, and Azure-based data pipelines. This role operates with a high degree of autonomy yet will manage the Database Administrator as well as the PowerBI Developer to lead the architecture, implementation, and ongoing management of data systems that support both operational workflows and analytics. In this role, you will own end-to-end data movement and transformation across Microsoft Fabric and Azure environments, leveraging PySpark, T-SQL, and modern data engineering practices. You will manage two team members supporting this work. You will be responsible for building resilient data pipelines, maintaining CI/CD processes in Azure DevOps, and ensuring that high-impact data workflows continue to operate reliably with minimal direct support. This is a hands-on engineering and leadership role suited for someone comfortable operating independently in a production-critical environment, where pipelines and databases are core to daily business operations. This is a full-time, hybrid role based out of our Mountlake Terrace Headquarters, with occasional travel to other MSS locations as needed and Hybrid work schedule available with tenure. Responsibilities Data Platform & Warehouse Engineering + Design, build, and maintain enterprise-grade data warehouses within Microsoft Fabric (Warehouse, Lakehouse) using PySpark. + Implement and manage data models including fact and dimension tables supporting operational and analytical workloads. + Apply Medallion architecture (Bronze, Silver, Gold) to structure scalable, maintainable data pipelines. + Optimize storage, query performance, and cost efficiency across Fabric and Azure environments. Pipeline Development & Operations + Develop, deploy, and maintain data pipelines using PySpark, SQL, and Azure-native services to facilitate development across the DevOps team. + Engineer scalable ETL/ELT processes that ingest, transform, and load data across multiple systems. + Own pipeline reliability, monitoring, alerting, and failure recovery in production environments. + Troubleshoot and resolve issues across ingestion, transformation, and storage layers with minimal escalation support. CI/CD & DevOps for Data + Design and manage CI/CD pipelines in Azure DevOps for database changes, data pipelines, and data models. + Implement version control, automated deployments, and testing strategies for all data assets. + Maintain release processes for schema changes, stored procedures, and pipeline updates across environments. Database Engineering (T-SQL Focused) + Write, optimize, and maintain advanced T-SQL code (stored procedures, views, functions, indexing strategies). + Perform query tuning and performance optimization across high-volume transactional and analytical workloads. + Design and enforce database standards, naming conventions, and documentation practices. Data Governance, Security & Reliability + Lead the Database Administrator in best practices around Data governance, reliability and security. + Implement role-based access controls and data security aligned with HIPAA and internal policies. + Own backup, restore, and disaster recovery strategies for databases and pipelines. + Conduct regular validation of data integrity and pipeline outputs. Cross-Functional Collaboration + Partner with analysts, operations, and engineering teams to translate business requirements into scalable data solutions. + Provide technical guidance on data modeling, pipeline design, and platform best practices. + Document systems, pipelines, and processes to ensure maintainability despite lean operational support. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)