SummaryThe Senior Data Engineer will be responsable on designing, developing, and maintaining scalable data pipelines and models that power analytics and decision-making across the organization. It blends hands-on engineering with cross-functional collaboration, requiring expertise in Databricks, Spark, Python, AWS, and modern data architecture. The role emphasizes performance optimization, automation, data governance, and the ability to independently deliver end-to-end data solutions.
Your role in our mission- 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.
What we're looking for- 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.
What you should expect in this role- United States remote opportunity
- Video cameras must be used during all interviews, as well as during the initial week of orientation
- The Deadline to submit applications for this posting is July 30, 2026
#LI-GD1#LI-REMOTEThe pay range for this position is $69,400.00 - $99,200.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You'll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities.
