Senior Data Engineer in United States at Jobgether

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.

This role focuses on building and optimizing scalable data systems that enable reliable analytics and data-driven decision-making across the organization. You will design and maintain modern data pipelines that transform large volumes of raw data into structured, high-quality datasets used by analysts, scientists, and business teams. The position blends hands-on engineering with architectural ownership, requiring strong expertise in cloud-based data platforms and distributed processing frameworks. You will work in a collaborative, mission-driven environment where data quality, performance, and governance are critical. The role offers the opportunity to directly influence how data is structured, accessed, and leveraged across multiple functions. You will also contribute to automation, monitoring, and best practices that ensure scalable and efficient data operations. This is a high-impact engineering role where your work directly supports improved outcomes and operational excellence.

• Design, build, and maintain scalable ETL/ELT data pipelines using Databricks, Spark, and Python
• Develop and optimize distributed data processing workflows to improve performance, reduce latency, and ensure reliability
• Build and maintain robust data models, including dimensional and normalized structures, to support analytics and reporting needs
• Enable secure, timely, and governed access to data for analytics, product, and business teams
• Leverage AWS cloud services such as S3, Glue, and Lambda to support scalable data engineering solutions
• Implement and enforce data engineering best practices, including code quality standards, version control, and documentation
• Design and maintain orchestration and monitoring systems using tools such as Airflow, Databricks Jobs, or AWS Step Functions
• Collaborate with cross-functional teams to translate business requirements into scalable, production-ready datasets
• Support automation initiatives and continuous improvement of data infrastructure and workflows

• 3+ years of experience in data engineering or a similar role focused on large-scale data systems
• Strong hands-on experience with Databricks, including Spark and Delta Lake
• Proficiency in Python for ETL development and data pipeline engineering
• Solid experience working with AWS cloud services for data storage, processing, and orchestration
• Strong SQL skills for data transformation, querying, and performance optimization
• Experience with ETL/ELT pipelines, data lake architectures, and modern data engineering practices
• Familiarity with CI/CD pipelines, version control systems, and software engineering best practices
• Experience with BI tools such as Power BI, Tableau, or Looker is a plus
• Strong analytical thinking and problem-solving skills with attention to data quality and reliability
• Ability to collaborate effectively with analysts, engineers, and business stakeholders

• Competitive annual salary ranging from $69,400 to $99,200 depending on experience and location
• Remote work opportunity within the United States
• Comprehensive health, dental, and vision insurance coverage
• 401(k) retirement plan with employer match
• Paid time off, flexible vacation policy, and holiday benefits
• Educational assistance and professional development support
• Access to leadership and technical training programs and academies
• Opportunity to work in a mission-driven organization focused on improving healthcare systems
• Inclusive and collaborative work culture with strong emphasis on learning and growth