Data Engineer for developing and maintaining ETL solutions to drive clinical
operations, advanced analytics, and machine learning models. This position will work
collaboratively with the technology team to support our clinical, operational, and
finance teams to integrate data from diverse sources for consumption by internal and
external stakeholders
Responsibilities:
Responsible for the development, testing, maintenance, and optimization of
cloud-native data and ETL solutions.
Work on small to mid-sized and cross-functional IT and business intelligence
solutions.
Participate in the workstream planning process including inception,
requirements gathering, technical design, development, testing and delivery of
ETL solutions.
Collaborate with Analytics & Reporting, Data Science, Machine Learning,
Analytics Engineering, IT Infrastructure, and other Technology teams in
solution design, development, and deployment.
Practice business guidelines to protect PHI and ensure secure communication
channels for transfer of such data.
Exercise best practice Agile communication and documentation through
channels like JIRA, Confluence
Follow DevOps/DataOps best practices throughout software development
lifecycle (SDLC).
Qualifications
Bachelor's degree in Computer Science, Information Technology, Engineering,
Mathematics, or equivalent.
2 - 5 years professional experience in Data Engineering (or similar) role
Experience in designing and implementing data applications and data
architectures.
Experience with open-source data frameworks like Spark and/or experience
with cloud data platforms is preferred.
Healthcare experience in a Payer or Provider/Hospital Organization preferred.
Experience in Azure data technologies is a bonus (Azure Data Factory,
Synapse, Cosmos DB, Azure SQL).
Experience with DevOps/DataOps practices is a bonus.
Experience or familiar with Agile or a similar process.
Experience in implementing ELT and ETL solutions.
Knowledge, Skills, and Abilities:
Experience with at least one database/data warehouse solution (e.g., MySQL,
MSSQL, Synapse, Snowflake, RedShift).
Strong coding proficiency in at least one programming language (preferably
Python)
Experience using industry standard Python libraries for data exploration,
analysis, and transformation (e.g., Pandas, Numpy, etc.)
Experience using REST APIs
Proficient in writing SQL Code for SQL queries, views, stored procedures,
etc.
Experience working with data housed in file formats including TXT, CSV,
JSON, YAML, Parquet, XLSX
Problem-solving aptitude and critical thinking skills
Excellent communication and presentation skills
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 80183517
- Position Id: bcbdc2336202b376191b2052a0fbb020
- Posted 4 hours ago
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