The Senior Data Engineer will support our software developers, database architects, analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. At IMO, our data is not merely a side effect or bonus; it is the core of our products and the mission critical deliverable for our clients. This person must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or improving our company’s data architecture to support our next generation of products and data initiatives.
Join our growing Product Development / Terminology Data Engineering Organization as a Senior Data Engineer to help design, create, and support high-quality solutions that support 80% of US clinicians and expand the application of Data Engineering within IMO!
Compensation at IMO Health is determined by job level, role requirements, and each candidate’s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses, equity, or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process.
IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health’s Careers Page.
WHAT YOU'LL DO:
Demonstrate understanding and awareness of the critical role terminology data plays in IMO’s products – use this to consistently inform your work
Update, analyze, fix, enhance, and build IMO products through direct interaction with code and data
Assemble, analyze, and interpret large and complex data sets using both technical skills and a solid understanding of IMO’s terminology data
Construct infrastructure for optimal ETL of data from varied sources using SQL and AWS ‘big data’ technologies
Identify and implement improvements to automate processes, optimize data delivery and performance, implement orchestration frameworks, and redesign data pipeline infrastructure for scalability and reliability
Design data platform components for bulk, transactional, and streaming access
Create and maintainoptimal data pipeline architecture
Support application-specific availability, scalability, and monitoring of resources and costs
Develop and document quality source code
Maintain and improve database schema and data models
Promote data quality awareness and execute data quality management procedures
Work cooperatively within an Agile Scrum team to manage conflict and foster trust, commitment, and accountability
Take ownership, be proactive, and anticipate impacts to take appropriate action
Implement creative solutions to technical challenges and apply knowledge and learning from various disciplines
Collaborate cross-functionally in a dynamic and agile environment to translate needs into requirements, assist with data/infrastructure, and partner on the creation of innovative products
Seek out industry best practices and continuously develop new skills
Make data-driven decisions
WHAT YOU'LL NEED:
Relevant technical BA/BS degree and five years of experience, OR seven years of relevant professional experience
Ability to build end-to-end data platforms and collaborate on architecting sound solutions
Experienced developer in multiple languages, including object-oriented/functional scripting languages (Python); able to train up on additional languages as needed
Hands-on experience with big data tools (e.g., Spark, Kafka); familiarity with building and optimizing complex data pipelines and architectures
Proficient in AWS services (EC2, EMR, RDS)
Strong SQL knowledge, with experience in complex query authoring, relational databases (PostgreSQL), and NoSQL databases (DynamoDB, MongoDB, Elasticsearch)
Strong analytical, troubleshooting, and problem-solving skills
Experienced in data modeling and logical/physical database design
Comfortable working with large, disconnected datasets and building processes that support data transformation, structures, and metadata
Familiar with agile development and CI/CD processes using tools such as Git and Terraform
Experience with markup languages such as XML and HTML
Comfortable performing root cause analyses to identify opportunities for improvement
Familiarity with stream-processing systems (e.g., Storm, Spark-Streaming) and workflow management tools (e.g., Airflow, Luigi, Azkaban)
Strong communication skills
Enjoyment of challenges, eagerness to explore new approaches, and willingness to ask for help
Interest and capacity to independently get up to speed with items in the “Nice To Have”
PREFERRED EXPERIENCE:
AWS Associate Certification – Data Engineer (preferred, not required)
AWS Associate Certification – Solutions Architect
Experience with ETL and BI tools (Talend, Tableau, Looker)
Experience with data cataloging standards and building/maintaining them
AWS Specialty Certification – Machine Learning
AWS Foundational Certification – AI Practitioner
Prior experience working with healthcare data
Exposure to knowledge graph-related technologies and standards (Graph DB, OWL, SPARQL)
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