Senior Data Engineer

Concert is a software and managed services company that promotes health by providing the digital infrastructure for reliable and efficient management of laboratory testing and precision medicine. We are wholeheartedly dedicated to enhancing the transparency and efficiency of health care, serving health plans, provider systems, laboratories and other stakeholders. We are a growing organization driven by smart, creative people helping advance precision medicine and health care.

Concert is seeking a skilled Senior Data Engineer to join our team. Your role will be pivotal in designing, developing, and maintaining our data infrastructure and pipelines, ensuring robust, scalable, and efficient data solutions. You will work closely with data scientists, analysts, and other engineers to support our mission of automating the application of clinical policy and payment through data‑driven insights.

You will be joining an innovative, energetic, passionate team that will help you grow and build skills at the intersection of diagnostics, information technology and evidence‑based clinical care.

• Design, develop, and maintain scalable and efficient data pipelines using AWS services such as Redshift, S3, Lambda, ECS, Step Functions, and Kinesis Data Streams.
• Implement and manage data warehousing solutions, primarily with Redshift, and optimize existing data models for performance and scalability.
• Utilize DBT (data build tool) for data transformation and modeling, ensuring data quality and consistency.
• Develop and maintain ETL/ELT processes to ingest, process, and store large datasets from various sources.
• Work with Sage Maker for machine learning data preparation and integration.
• Ensure data security, privacy, and compliance with industry regulations.
• Collaborate with data scientists and analysts to understand data requirements and deliver solutions that meet their needs.
• Monitor and troubleshoot data pipelines, identifying and resolving issues promptly.
• Implement best practices for data engineering, including code reviews, testing, and automation.
• Mentor junior data engineers and share knowledge on data engineering best practices.
• Stay up-to-date with the latest advancements in data engineering, AWS services, and related technologies.

• Developed a strong understanding of Concert’s data engineering infrastructure.
• Learned the business domain and how it maps to the information architecture.
• Made material contributions towards existing key results.

• Led a major initiative.
• Become the first point of contact when issues related to the data warehouse are identified.

• Taken responsibility for the long‑term direction of the data engineering infrastructure.
• Proposed and executed key results with an understanding of the business strategy.
• Communicated the business value of major technical initiatives to key non‑technical business stakeholders.

• Self‑Motivated - A team player with a positive attitude and a proactive approach to problem‑solving.
• Executes Well - You are biased to action and get things done, acknowledging unknowns and recovering from setbacks.
• Comfort with Ambiguity - You aren’t afraid of uncertainty and blazing new trails, and you care about building toward a future that differs from today.
• Technical Bravery - You are comfortable with new technologies and eager to dive in to understand data in its raw and processed states.
• Mission‑Focused - You are personally motivated to drive more affordable, equitable and effective integration of genomic technologies into clinical care.
• Effective Communication - You build rapport and great working relationships with senior leaders, peers, and use those relationships to drive the company forward.

• Minimum of 4 years experience working as a data engineer.
• Bachelor’s degree in software or data engineering or a comparable technical certification/experience.
• Ability to effectively communicate complex technical concepts to both technical and non‑technical audiences.
• Proven experience in designing and implementing data solutions on AWS, including Redshift, S3, Lambda, ECS,…