Data Engineer II

Data Engineer II (Mid-Level) Location: Houston, TX 77070 (Corporate Headquarters) Job Type: Full-Time | Exempt Salary: $130,000-$145,000 Schedule: Monday-Friday | Fully Onsite Build the Future of Healthcare Data SynergenX Health is transforming healthcare through data, analytics, and artificial intelligence. As we continue to modernize our enterprise data platform, we’re looking for an experienced Data Engineer who thrives in a collaborative environment and enjoys building scalable cloud‑based solutions that directly impact business operations and patient care. This is an opportunity to work with modern Azure technologies, Databricks, AI‑enabled data engineering, and enterprise analytics while helping mentor junior engineers and influence the future direction of our data platform. If you’re passionate about solving complex data challenges, building scalable pipelines, and working with cutting‑edge cloud technologies, we’d like to meet you. What You’ll Do As a Data Engineer II, you’ll be responsible for designing, developing, and optimizing enterprise data solutions that support reporting, analytics, artificial intelligence, and operational decision‑making across the organization. Responsibilities include: Design, develop, and maintain enterprise ETL/ELT pipelines using Azure Data Factory and Azure Databricks Develop scalable cloud‑native data solutions utilizing Azure Databricks, Delta Lake, and PySpark Build and optimize enterprise data models supporting clinical, financial, and operational analytics Develop complex SQL queries, stored procedures, and performance tuning solutions Build reusable Python frameworks for automation, orchestration, and data transformation Support Azure SQL Database, Azure Synapse Analytics, and Microsoft Fabric environments Create datasets and semantic models powering enterprise Power BI reporting Build data pipelines supporting Artificial Intelligence (AI), Machine Learning, and advanced analytics initiatives Improve data quality, governance, monitoring, and security across enterprise data assets Monitor production environments and proactively resolve pipeline and performance issues Participate in architecture discussions and contribute to enterprise data platform modernization Mentor junior Data Engineers through code reviews, technical guidance, and best practice sharing Collaborate with Data Architects, Software Engineers, Business Intelligence Analysts, and business stakeholders to deliver enterprise data solutions Stay current on emerging Azure, Databricks, AI, and cloud engineering technologies Required Qualifications Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or a related technical field 4‑6 years of professional Data Engineering experience Hands‑on experience developing production solutions using Azure Databricks Strong experience with SQL Server and advanced T‑SQL development Strong Python programming experience Experience building enterprise ETL/ELT pipelines Experience with Azure Data Factory Experience working within Azure SQL Database and Azure Synapse Analytics Experience with Power BI datasets and enterprise reporting Strong understanding of dimensional modeling and data warehouse design Experience working with large‑scale cloud data environments Ability to mentor junior engineers while remaining hands‑on technically Excellent analytical, organizational, and problem‑solving skills Fluent English communication skills, both written and verbal, with the ability to communicate effectively across technical and business teams Preferred Qualifications Experience with any of the following is highly desirable: Microsoft Fabric Delta Lake PySpark Azure Data Lake Storage (ADLS Gen2) Azure AI Services Azure Machine Learning MLflow Unity Catalog Databricks Workflows Azure DevOps CI/CD Git REST APIs Healthcare or other highly regulated industries The Ideal Candidate We’re looking for someone who: Has strong production experience with Azure Databricks Enjoys building scalable cloud data platforms Understands how modern data engineering enables AI and machine learning initiatives Can independently solve complex technical problems Takes ownership of projects from design through deployment Enjoys mentoring less experienced engineers Works well in a collaborative, fast‑paced environment Is passionate about continuous learning and emerging technologies Location Requirements This position is based at our Houston Corporate Headquarters. Full‑time onsite Monday‑Friday Local Houston‑area candidates are strongly preferred Candidates must be able to reliably commute to our corporate office each business day Relocation assistance is not available Compensation & Benefits Competitive salary of $130,000-$145,000 Medical, Dental, and Vision Insurance Company‑paid Life Insurance 401(k) with Company Match Paid Time Off Paid Holidays Employee Assistance Program Professional development opportunities Career advancement within a growing healthcare organization Opportunity to work with modern Azure cloud technologies, Databricks, and AI initiatives Stable, established company with continued nationwide growth Additional Requirements Must be authorized to work in the United States without current or future employer sponsorship This position is fully onsite in Houston, Texas Candidates requiring remote, hybrid, or relocation assistance will not be considered Equal Employment Opportunity SynergenX Health Holdings is an Equal Opportunity Employer and makes employment decisions without regard to race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any other status protected under applicable federal, state, or local law. #J-18808-Ljbffr SynergenX Health