[Remote] Senior Data Engineer
Note: The job is a remote job and is open to candidates in USA. Gainwell Technologies is a company focused on improving health and well-being through innovative technologies. The Senior Data Engineer will design, develop, and maintain scalable data pipelines and models, collaborating cross-functionally to ensure data accessibility and governance.
Responsibilities
- 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
Skills
- 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 leadership and technical development academies
- 401(k) employer match
- Comprehensive health benefits
- Variety of leadership and technical development academies to help build your skills and capabilities
Company Overview
Company H1B Sponsorship