Senior Data Engineer

🕒 May 19

🤠 Texas – Remote

🤠 Texas – Remote

💵 $69.4k - $99.2k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Gainwell Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

📦 Logistics

⚕️ Healthcare Insurance

💰 Grant on 2023-06

Consulting • Logistics • Healthcare Insurance

Gainwell Technologies is the nation’s leading provider of digital and cloud-enabled solutions across the human services and public health ecosystem. With a mission-driven approach, Gainwell serves clients in all 50 U. S. states, focusing on improving health outcomes and delivering intuitive, human-centered experiences. Their comprehensive suite of solutions includes Medicaid Enterprise modernization, data analytics, provider services, and pharmacy solutions, all designed to advance the future of healthcare and enhance community well-being.

📋 Description

• Architect Scalable Data Pipelines: Design, develop, and maintain reliable ETL/ELT workflows using Databricks, Spark, and Python. • Enable Data Access & Analytics: Partner with analytics, product, and engineering teams to ensure timely, accurate, and governed access to data for downstream reporting and analytics. • Optimize Data Workflows: Improve performance, reduce latency, and streamline processes by tuning SQL, optimizing Spark jobs, and enhancing cloud data pipelines. • Leverage Cloud Infrastructure: Utilize AWS services (e.g., S3, Glue, Lambda) to manage and scale data engineering workloads. • Drive Best Practices: Establish and maintain data engineering standards, including code quality, data security, version control, and documentation. • Build & Maintain Data Models: Construct and support dimensional and normalized data models that support cross-functional use cases and reporting needs. • Automation & Monitoring: Set up robust pipeline orchestration (e.g., with Airflow, Databricks Jobs, or AWS Step Functions) and monitoring/alerting systems. • Collaborate Cross-Functionally: Work with data analysts, scientists, and business users to understand requirements and transform raw data into business-ready datasets.

🎯 Requirements

• 3+ years of experience as a Data Engineer or in a similar role • Strong hands-on experience with Databricks (Spark, Delta Lake) and Python-based ETL frameworks • Solid experience working with AWS cloud services for data processing and storage • Moderate-to-advanced proficiency in SQL for data wrangling, transformation, and performance tuning • Experience with data lake architectures, ELT/ETL development, and orchestration tools • Familiarity with software engineering best practices, including CI/CD, version control, and code reviews • Experience with Power BI or other BI tools (e.g., Tableau, Looker) to assist in data visualization or self-service reporting enablement.

🏖️ Benefits

• generous, flexible vacation policy • educational assistance • comprehensive health benefits • 401(k) employer match