Data Engineer Relocation Jobs in Houston, TX (NOW HIRING)

SynergenX Health Holdings

Location: Houston, TX 77070 (Corporate Headquarters)

Job Type: Full-Time | Exempt

Salary: $130,000-$145,000

Schedule: Monday-Friday | Fully Onsite

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.

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.

• 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.

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

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.

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.

• 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

• 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.

At SynergenX, your work will have a direct impact on how healthcare data is transformed into meaningful business insights and better patient outcomes. You'll collaborate with experienced technology leaders, work on modern Azure cloud initiatives, help drive AI adoption, and contribute to a growing enterprise data platform that supports operations across multiple states.

If you're looking for an opportunity to build, innovate, mentor, and grow your career in a stable, technology-driven organization, we encourage you to apply.

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.

***Please do not email the company or company representatives directly. Applications must be submitted here in order to be considered***

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