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 whole-heartedly dedicated to enhancing the transparency and efficiency of health care. Our customers include health plans, provider systems, laboratories, and other important stakeholders. We are a growing organization driven by smart, creative people to help advance precision medicine and health care. Learn more about us at
YOUR ROLE
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 who will help you grow and build skills at the intersection of diagnostics, information technology and evidence-based clinical care.
As a Senior Data Engineer you will:
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 SageMaker 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.
After 3 months you will have:
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
After 6 months you will have:
After 12 months you will have:
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
WHAT LEADS TO SUCCESS
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. You acknowledge unknowns and recover from setbacks well.
Comfort with Ambiguity You aren’t afraid of uncertainty and blazing new trails, you care about building towards a future that is different from today.
Technical Bravery You are comfortable with new technologies and eager to dive in to understand data in the raw and in its 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 the relationships you’ve built to drive the company forward
RELEVANT SKILLS & EXPERIENCE
Minimum of 4 years experience working as a data engineer
Bachelor’s degree in software or data engineering or comparable technical certification / experience
Proven experience in designing and implementing data solutions on AWS, including Redshift, S3, Lambda, ECS, and Step Functions
Strong understanding of data warehousing principles and best practices
Experience with DBT for data transformation and modeling.
Proficiency in SQL and at least one programming language (e.g., Python, Scala)
Familiarity or experience with the following tools / concepts are a plus:
BI tools such as Metabase
Healthcare claims data, security requirements, and HIPAA compliance
Kimball’s dimensional modeling techniques
ZeroETL and Kinesis data streams
Ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
COMPENSATION
Concert is seeking top talent and offers competitive compensation based on skills and experience. Compensation will commensurate with experience. This position will report to the VP of Engineering.
LOCATION
Concert is based in Nashville, Tennessee and supports a remote work environment.
For further questions, please contact:
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