Senior Data & Analytics Engineer — Databricks & Azure

synergenx; Houston (TX); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) with Company Match

Paid Time Off and Holidays

Life Insurance

Disability Insurance

Professional development

Job summary

SynergenX Health is seeking a Principal Data & Analytics Engineer to lead end-to-end data solutions in a hybrid Houston environment. You will architect and build production pipelines, models, and dashboards while collaborating with Operations, Finance, and Clinical teams.

This senior IC role requires strong SQL, Python/PySpark, Databricks, and Azure Data Factory experience. You’ll mentor engineers, drive data quality, and modernize pipelines to support analytics and AI initiatives.

Qualifications

• 7+ years of progressive experience in data engineering, analytics engineering, BI engineering, or a related discipline.
• Advanced SQL skills, including developing, optimizing, and troubleshooting complex data transformations.
• Strong Python and/or PySpark development experience.
• Strong hands-on experience with Databricks and Apache Spark.
• Strong Microsoft Azure experience, particularly Azure Data Factory and Azure data services.
• Strong data modeling skills, including dimensional models and star schemas.
• Experience building and supporting production ETL/ELT pipelines.
• Experience implementing automated data quality validation, monitoring, and production alerting.
• Working knowledge of Power BI architecture, semantic models, and DAX.
• Experience with Git, CI/CD, and modern software/data engineering practices.
• Demonstrated ability to troubleshoot complex data discrepancies across multiple systems.
• Ability to work with nontechnical stakeholders and translate business needs into technical solutions.

Responsibilities

• Own complex data solutions from start to finish, including discovery, requirements, architecture, development, testing, deployment, documentation, monitoring and production support.
• Build production data pipelines and analytical products using SQL, Python/PySpark, Databricks, and Azure tools.
• Turn business processes into reliable data logic by partnering with Operations, Finance, Pharmacy, Clinical Operations, Marketing, and others.
• Investigate difficult data discrepancies and identify root causes of metric changes across systems.
• Understand downstream impact of changes on Power BI reports, KPIs and financial calculations.
• Build quality and monitoring into solutions with automated validation, anomaly detection, and alerts.
• Modernize legacy pipelines, improve performance, migrate workloads to standardized Azure/Databricks patterns.
• Strengthen analytics layer with robust datasets and semantic models for consistent metrics.
• Improve engineering practices: Git, CI/CD, testing, documentation, reusable patterns, data lineage.
• Mentor Data Engineers, BI developers, analysts; conduct reviews and help resolve technical issues.
• Integrate enterprise source systems and data ingestion strategies across sources.

Skills

Advanced SQL

Python/PySpark

Databricks

Azure Data Factory

Azure Data Services

Data Modeling

ETL/ELT

Data quality monitoring

Git/CI/CD

Power BI

APIs & integrations

Tools

Databricks

Azure Databricks

SQL

Python

Job description

SynergenX Health is seeking a Principal Data & Analytics Engineer to lead end-to-end data solutions in a hybrid Houston environment. You will architect and build production pipelines, models, and dashboards while collaborating with Operations, Finance, and Clinical teams.

This senior IC role requires strong SQL, Python/PySpark, Databricks, and Azure Data Factory experience. You’ll mentor engineers, drive data quality, and modernize pipelines to support analytics and AI initiatives.