Data Engineer Tech Lead developing data solutions at Carelon. Leading a cross - functional team to optimize data workflows and maintain data integrity.
About the role
- Data Engineer transforming legacy on-premises systems to cloud-native architectures for advanced data analytics. Collaborating with teams to build efficient data solutions using Python and AWS.
Responsibilities
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored data solutions
- Develop efficient data processing and transformation workflows to support analytics and reporting needs
- Design, build, and maintain data pipelines and automated extract, transform, load (ETL) processes using tools like Python, R, and platform‑specific environments such as Jupyter Notebooks
- Integrate disparate structured and unstructured data from APIs, databases, and cloud storage into unified datasets utilizing ETL patterns, frameworks, query techniques
- Implement processes for data cleaning, transformation, and validation to ensure data accuracy, consistency, and compliance with security and privacy policies
- Develop dashboards, visualizations, and analytical products leveraging QuickSight or other mission‑approved tools to support operational decision‑making
- Provide full lifecycle assistance in deploying, optimizing, maintaining complex code with data processing routines running in development, test, and production
- Optimize code through advanced algorithmic concepts to facilitate more efficient
Requirements
- 5+ years of experience as a Data Engineer, Data Scientist, or Backend Software Engineer
- Bachelor’s degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or related field
- Strong skills in Python and SQL and proficiency with other data engineering languages (e. g., R, SAS, SCALA)
- Proficient in handling large-scale data projects involving data integration, cleaning, ETL, analysis, aggregation, tabulation, and reporting
- Experience developing and implementing data reliability, efficiency, and quality checks and processes
- Experience leveraging AWS services (e.g., S3, EMR, Glue, Lambda, Athena, Redshift, SageMaker, QuickSight) to build and deploy data solutions in a cloud-native environment
- Experience with structured and unstructured data databases including Oracle, PostGreSQL, MySQL, Athena, Redshift, MongoDB etc.
- Familiarity with demographic, economic, and geospatial data sources and structures
- Experience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe
- Excellent communication and teamwork skills
- Strong skills preparing and presenting design/architectural documents to clients
- Requires a Public Trust - must be US Citizen to be eligible.
Benefits
- Medical Insurance
- Vision Insurance
- Dental Insurance
- Life and AD&D Insurance
- 401(k) Savings Plan
- Education and Professional Training
- Flexible Spending Accounts (FSA)
- Employee Referral and Merit Recognition Programs
- Employee Assistance and Identity Theft Protection
- Paid Holidays: 11 per year
- Paid Time Off (PTO)
- Disability Insurance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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