Data Engineer (no employer sponsor visa sponsorship available for this role and no relocation) Adelante Healthcare - 2.9 Phoenix, AZ Job Details Full-time From $90,000 a year 8 hours ago Benefits Health savings account Paid holidays Disability insurance Health insurance Dental insurance Tuition reimbursement Paid time off Vision insurance Employee discount 403(b) Life insurance Retirement plan Qualifications AI models Data integrity assurance Data model design Commercial use (data warehousing systems) Performance tuning Databricks Data visualization software proficiency Data Integration (Data management) Authorization controls implementation Computer Science Cloud data warehouses Achieving HIPAA compliance Data validation techniques ETL pipeline development Infrastructure as Code (IaC) DevOps Data retrieval time improvement HIPAA Scalable systems Schema design SQL Azure Synapse Analytics Data integrity and documentation Data Architecture Design (Architecture design skills) AWS ETL process automation Business intelligence tools Outlier detection Data integrity process (data warehousing) Azure Data Factory Full Job Description Data Engineer Adelantehealthcare.com Who Are We? At Adelante Healthcare, we believe that healthy people create healthy communities. Our mission is to improve the health of our communities by providing the highest level of primary and preventive care, making it affordable for everyone. For over 40 years, we have been dedicated to serving our communities by providing healthcare to those most vulnerable by offering health care services at nine locations throughout Maricopa County. By joining the Adelante Healthcare team, you become part of a patient centered caring organization that is playing a vital role in helping our communities.
OUR AMAZING BENEFITS
We offer a culture that values caring, professional development, growth, and sustainability. We provide a comprehensive and competitive benefits program including:
- Medical, Dental, and Vision available DAY ONE!
- 3 weeks Paid Time Off annually
- 10 paid Holidays annually
- 403b Retirement Account Savings Plan
- Tuition Reimbursement for eligible programs
- Employer-paid Short Term and Long Term Disability
- And
MORE WHAT YOU'LL NEED TO HAVE
Bachelor's degree in computer science, Information Systems, Engineering, or a related technical field, preferred. Three (3) - five (5) years of experience Strong proficiency in SQL for large-scale data transformation, query optimization, and schema development. Advanced Python skills for scripting ETL/ELT logic, validation routines, automation, and integration. Demonstrated ability to design and implement scalable, maintainable data pipelines using Azure Data Factory, Synapse Pipelines, and Logic Apps. Expertise in data modeling, including normalized and dimensional models (star/snowflake), surrogate keys, SCD handling, and business-friendly schema design. Experience implementing robust data validation and quality frameworks, including completeness, accuracy, integrity, and anomaly detection. Proficient with Azure Synapse Analytics (dedicated and serverless pools), Azure Data Lake Storage, and Logic Apps for managing ingestion, transformation, and orchestration. Working knowledge of data security practices and compliance (HIPAA, PHI), including RBAC, RLS, and secure data delivery. Familiarity with CI/CD pipelines and infrastructure-as-code using Azure DevOps or GitHub Actions. Ability to deliver trusted, analytics-ready datasets to business teams via Microsoft Fabric Lakehouses and Power BI. Experience supporting Power BI development by preparing validated semantic models, implementing row-level security, and enabling performance-optimized report layers — always backed by solid pipeline foundations. Other common essential skills / experience you may choose to include: Certification to perform cardiopulmonary Resuscitation for the Health Care Professional (CPR) and AED through courses that follow the guidelines from the American Heart Association and Red Cross (cognitive and skills evaluations) Valid Level One Fingerprint Clearance Card issued by the Arizona Department of Public Safety for all specialty behavioral health locations or ability to obtain within 30 days of employment Prioritization and multi-task skills are required Competency in working with people of various cultures Ability to perform a variety of assignments requiring considerable exercise of independent judgment
WHAT YOU'LL BE DOING DAY TO DAY
Build and maintain robust data pipelines that ingest, transform, validate, and deliver data from multiple internal and external sources. Design data models that align with business use cases and support high-performance reporting and analytics. Implement data validation logic to ensure quality, trust, and accuracy in all downstream outputs. Automate workflows using Logic Apps and Data Factory to support real-time and batch use cases. Ensure pipeline observability, logging, and monitoring for proactive issue detection and resolution. Collaborate with data analysts, BI developers, and business stakeholders to translate requirements into engineering solutions. Provide secure, governed access to data through role-based access controls and RLS configurations. Participate in DevOps workflows to version-control and automate deployments across environments. Publish curated, validated datasets to Power BI workspaces and Fabric Lakehouses, supporting enterprise-wide reporting. Maintain documentation, data dictionaries, and flow diagrams to ensure transparency and maintainability.
NONESSENTIAL SKILLS AND EXPERIENCE
Knowledge of healthcare interoperability standards such as FHIR or HL7, or experience working with clinical data models or claims data. Exposure to Microsoft Purview or other data cataloging tools for metadata management, lineage tracking, and automated governance. Background in building or supporting machine learning pipelines in Azure using Synapse ML, Azure ML, or Databricks. Experience with Delta Lake or lakehouse optimization strategies, including schema evolution, time travel, and ACID transactions on big data. Proficiency in performance tuning for large-scale BI environments, including query optimization, caching strategies, and dataset partitioning. Ability to lead data architecture discussions, contribute to platform design decisions, or mentor junior engineers on engineering best practices. Understanding of data privacy engineering, such as implementing differential privacy, data anonymization, or secure multi-party computation in analytics workflows. Hands-on experience with cross-cloud or hybrid-cloud architectures, especially integrating Azure with AWS or on-premise systems. Additional Duties and Responsibilities Other duties as request or assigned
Job Type:
Full-time Pay:
From $90,000.00 per year
Benefits:
Dental insurance Employee discount Health insurance Health savings account Life insurance Paid time off Retirement plan Tuition reimbursement Vision insurance Ability to
Commute:
Phoenix, AZ 85012 (Required) Ability to
Relocate:
Phoenix, AZ 85012: Relocate before starting work (Required)
Work Location:
Hybrid remote in Phoenix, AZ 85012
