Senior Engineer, Data (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in the United States.

The Senior Data Engineer will play a pivotal role in designing, implementing, and optimizing large-scale data solutions to support analytics, business intelligence, and enterprise data management. You will lead efforts to modernize data pipelines, data warehouses, and datalakes while ensuring cost-efficient and secure cloud operations. This role involves collaboration with cross-functional teams to align data architecture with business goals and healthcare data standards. You will work with cutting-edge cloud technologies and big data systems to enable data-driven decision-making. The position offers a remote-first, flexible work environment with opportunities to influence strategic data initiatives and contribute to impactful projects in a mission-driven organization.

Accountabilities

• Architect, design, and implement datalakes, data warehouses, and ETL pipelines for enterprise-scale analytics.
• Deploy and manage secure, cost-effective AWS (or cloud) environments across multiple availability zones and regions.
• Collaborate with internal departments and business stakeholders to define strategic data architecture and roadmap improvements.
• Analyze, troubleshoot, and optimize complex business programs and data processes.
• Ensure alignment of enterprise data with standards such as FHIR for healthcare applications.
• Evaluate and recommend OSS/COTS solutions to enhance data operations and governance.
• Participate in the full software development lifecycle: design, implementation, testing, and support.

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field.
• 8+ years of experience in software and data engineering with leadership on large-scale projects.
• Strong expertise in big data technologies, cloud architecture (AWS preferred), and cost-conscious cloud design.
• Proficiency with PostgreSQL, ETL development, S3, Lambda, RDS, Glue, CloudWatch.
• Experience with AWS database tools, cloud deployment, and secure data management.
• Familiarity with healthcare or sensitive data (PHI/PII) and standards such as FHIR.
• Preferred skills: Python, TypeScript, GitHub Actions, Jenkins, AWS Code Pipeline, Secrets Manager, Route53, CloudFormation, DataBricks.
• Strong analytical, problem-solving, and communication skills; ability to work independently and collaboratively.