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Job description
Job Type: Full-time M-F, hybrid options available
Location: Mountlake Terrace, WA
Pay: $160,000k - $190,000k per year
About Mindful Support Services
We are abusiness-to-businesssupport 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 teamscurrently support over 2,000independentmental health providers, who serve over 25,000 clients per week across 20+ locations throughout 5 states, as well as virtually viaTelehealth.
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, and operational ownership of Mindful Support Services’ data platform, including databases, data warehouses, and Azure-based data pipelines. Operating with a high degree of autonomy, this role leads the architecture, implementation, and ongoing management of data systems while managing the Database Administrator and Power BI Developer.
This position owns end-to-end data movement and transformation across Microsoft Fabric and Azure environments, leveraging PySpark, T-SQL, and modern data engineering practices. Responsibilities include building and maintaining resilient data pipelines, overseeing CI/CD processes in Azure DevOps, and ensuring the reliability of production-critical data workflows that support both business operations and analytics.
This is a hands-on technical leadership role for an engineer who is comfortable working independently while leading a team and maintaining critical systems that are essential to daily business operations.
This is a full-time, in person role based out of our Mountlake Terrace Headquarters, with occasional travel to other MSS locations as neededand Hybrid work schedule available with tenure.
Responsibilities
Data Platform & Warehouse Engineering
Design, build, andmaintainenterprise-grade data warehouses within Microsoft Fabric (Warehouse, Lakehouse)usingPySpark.
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.
Optimizestorage, query performance, and cost efficiency across Fabric and Azure environments.
Pipeline Development & Operations
Develop, deploy, andmaintaindata pipelines usingPySpark, SQL, and Azure-native servicestofacilitatedevelopment across the DevOps team.
Engineer scalable ETL/ELT processes that ingest, transform, and load data across multiple systems.
Own pipeline reliability, monitoring, alerting, andfailurerecovery 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, andmaintainadvanced 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 Administratorin best practices around Data governance,reliabilityand 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.
Providetechnical guidance on data modeling, pipeline design, and platform best practices.
Document systems, pipelines, and processes to ensure maintainability despite lean operational support.
Required Experience
7+ years of experience in a Database Engineer, Data Engineer, or similar role owning database and pipeline development in production environments.
7+ years of hands-on experience working with PySpark in distributed data processing environments.
7+ years of experience building and maintaining data platforms in Microsoft Fabric or comparable modern data platforms (e.g., Synapse, Databricks).
7+ years of advanced T-SQL experience, including performance tuning, indexing, and complex query development.
7+ years of experience managing CI/CD pipelines in Azure DevOps (ADO) for database and data pipeline deployments.
7+ years of experience managing or developing enterprise data warehouses, including dimensional modeling and large-scale data transformations
7+ years of experience operating and supporting high-impact production data pipelines with limited oversight or support.
Technical Skills
Strong proficiency in: PySpark & Python, T-SQL, Microsoft Fabric, 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.
Compensation and Benefits
75% employer covered Health, Dental & Vision benefits plan
401(k) savings plan with employer matching upon eligibility
8 paid holidays
15 PTO days accrued annually
Professional and career development opportunities
Compensation evaluated with opportunities for advancement
The responsibilities listed above are not exhaustive and may evolve over time with or without formal notice.
Thisposition is based at our Mountlake Terrace Headquarters. The role requires occasional travel to other Mindful Support Services locations, including out-of-state travel when necessary.Additionaloff-site travel may berequiredto support system implementations or coordination with partners and vendors.
The responsibilities listed above are not exhaustive and may evolve over time with or without formal notice.
We are an equal opportunity employer with a progressive workplace based on teamwork, integrity, and customer service. We are committed to cultivating the long-term professional potential of our team. Applicants from all fields are encouraged to apply. Background check required. Come join a strong team making an impact in the service world of mental health!
It is a conflict of interest for an employee of Mindful Support Services to be a current client of Mindful Therapy Group. We request that individuals who are receiving clinical services at Mindful Therapy Group wait until their care is discontinued before beginning employment.
Job Type: Full-time M-F, hybrid options available
Location: Mountlake Terrace, WA
Pay: $160,000k - $190,000k per year
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Worksite address
mountlake terrace, WA, 98043, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.