Azure Data Warehouse Developer

March 19

☕ Washington – Remote

Although this job is listed in Washington, this company may be open to hiring remote in other states.

💵 $80k - $90k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Mindful Support Services

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Mindful Support Services is a company focused on providing mental health care delivery solutions. They offer services such as a Supervised Associate Program and gather provider testimonials to ensure quality mental health care. The company emphasizes building mindful, sustainable, and meaningful mental health care delivery. They also have a senior leadership team known as 'Our Mindful Team' and offer various opportunities, including administrative positions. Additionally, Mindful Support Services engages with the community through events and celebrates diversity, such as supporting LGBTQ youth.

51 - 200 employees

Founded 2011

⚕️ Healthcare Insurance

🧘 Wellness

📋 Description

• About Mindful Support Services  • We are a business-to-business support service for independent mental healthcare businesses. • We provide administrative and organizational services to simplify processes of lead-generation, marketing, billing and collecting payments from patients and insurers. • Our teams support over 1,500 independent mental health providers, who serve over 20,000 clients per week across 15 locations. • We have built the Mindful Therapy Group brand with years of dedication to solving complex processes of the healthcare landscape in innovative ways. • We cultivate a collaborative, transparent and energetic culture and provide necessary tools and support for you to succeed. • We are seeking a skilled Azure Data Warehouse Developer to join our team. • The developer will play a crucial role in designing, developing, and maintaining our data warehouse to support business intelligence initiatives.

🎯 Requirements

• Bachelor’s degree in computer science, Information Technology, or a related field. • 4-5 years of data warehouse development experience preferred, with 5+ years of SQL development and data warehousing experience, and a proven track record of delivering production-grade data pipelines in a cloud environment. • 3+ years of experience in architecting, designing, developing, and implementing cloud solutions in Azure data services (Data Lake Storage, Data Factory, Synapse, etc.). • Experience with Azure-based BI solutions such as Azure SQL, Azure Synapse, Data Factory, Blob Storages, and Data Lakes. • Proficiency in data integration and ETL/ELT tools, preferably in an Azure environment. • Strong knowledge of data modeling techniques, including star and snowflake schemas. • Programming skills in SQL Server and MS BI (SSIS/SSRS/SSAS). • Advanced knowledge of SQL, including query optimization, row level security, indexing strategies and Dynamic Data Masking (DDM). • Experience with Power BI in building self-serve BI solutions, canned reports, and enterprise-level BI solutions. • Strong DAX skills for creating complex measures and calculated columns. • Experience in designing slowly changing dimensions. • Knowledge of healthcare data standards and regulations (e.g., HIPAA) and prior experience with healthcare data is highly preferred. • Collaborate with cross-functional teams to understand business requirements and translate them into effective datasets that drive strategic decision-making. • Monitor and fine-tune business intelligence tools to ensure optimal performance. • Experience with Python is a plus. • Excellent problem-solving and analytical skills. • Strong communication and collaboration skills. • Ability to work effectively in a team and independently. • Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate, Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Power BI, etc.) are a plus.

🏖️ 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