Engineering Manager - Data Engineering

In this vital role you are responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions.

This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing (to ensure data is accessible, reliable, and efficiently managed.

The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes

• Design, develop, and maintain data solutions for data generation, collection, and processing
• Leading and being hands-on for the technical design, development, testing, implementation, and support of data pipelines that load the data domains in the Enterprise Data Fabric and associated data services.
• Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
• Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs.
• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency.
• Be able to translate data models (ontology, relational) into physical designs that performant, maintainable, easy to use.
• Implement data security and privacy measures to protect sensitive data
• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
• Collaborate and communicate effectively with product teams
• Identify and resolve complex data-related challenges
• Adhere to best practices for coding, testing, and designing reusable code/component
• Explore new tools and technologies that will help to improve ETL platform performance
• Participate in sprint planning meetings and provide estimations on technical
• Collaboration with RunOps engineers to continuously increase our ability to push changes into production with as little manual overhead and as much speed as possible.

We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications.

Basic Qualifications:

Masters degree and 4 to 6 years of Computer Science, IT or related field experience OR

Bachelors degree and 6 to 8 years of Computer Science, IT or related field experience OR

Diploma and 10 to 12 years of Computer Science, IT or related field experience

Preferred Qualifications:

Must-Have Skills:

• Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
• Proficient in SQL for extracting, transforming, and analyzing complex datasets from both relational and graph data stores ( e.g. Marklogic, Allegrograph, Stardog, RDF Triplestore).
• Experience with ETL tools such as Apache Spark, Prophecy and various Python packages related to data processing, machine learning model development
• Strong understanding of data modeling, data warehousing, and data integration concepts
• Able to take user requirements and develop data models for data analytics use cases.

• Knowledge of Python/R, Databricks, SageMaker, cloud data platforms
• Experience using graph databases such as Stardog , Marklogic , Neo4J , Allegrograph, etc. and writing SPARQL queries.
• Experience working with agile development methodologies such as Scaled Agile.

• AWS Certified Data Engineer preferred
• Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)

• Excellent critical-thinking and problem-solving skills
• Strong communication and collaboration skills
• Demonstrated awareness of how to function in a team setting
• Demonstrated presentation skills

This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.