Data Engineer designing and maintaining scalable data solutions on Databricks for clinical trials. Collaborating with teams to overcome data challenges and ensure the smooth logistics of clinical supplies.
About the role
- Data Engineer responsible for architecting, developing, and maintaining Allegiant’s enterprise data infrastructure. Overseeing transition to cloud hosted data warehouse and developing next-generation data tools.
Responsibilities
- Develop and maintain Allegiant data marts and data warehouses.
- Migrate Allegiant’s existing on-premise infrastructure to the AWS environment.
- Design, implement, and maintain scalable ETL processes to ensure efficient data flow and accessibility.
- Implement data quality checks to ensure accuracy and reliability of data.
- Troubleshoot and resolve issues related to data processing and ETL pipelines.
- Design, build, and implement data transformation, conversion, and validation of data required for BI applications.
- Maintain SQL Server and Redshift data marts, databases, and data warehouses.
- Provide services to replicate data from various data sources to reporting database servers for enterprise reporting applications.
- Work closely with the business to understand and translate user requirements into practical data models.
- Develop and maintain repeatable, systemic processes while finding ways to make internal team processes more efficient.
- Other duties as assigned.
Requirements
- Bachelor’s Degree In Computer Science, Engineering, or a related technical field.
- Minimum three (3) years of experience as a Data Engineer including work experience in data mart development and data warehousing, including experience working with ETL processes, OLAP structures, and dimensional modeling.
- Strong SQL Server and Amazon Redshift skills.
- In depth understanding of database architecture.
- Demonstrated basic proficiency in AWS services, including but not limited to S3, Glue, Lambda, and Redshift.
- Basic understanding of Infrastructure as Code (IAC) principles to define and manage infrastructure using code (e.g., AWS CloudFormation, Terraform).
Benefits
- Profit Sharing
- Medical/Dental/Vision/Life/ Disability Insurance
- Medical Travel Reimbursement
- Legal, Identity and Pet Insurance
- 401K with an employer match
- Employee Stock Purchase Plan
- Employee Assistance Program
- Tuition Reimbursement
- Flight Benefits
- Paid vacation, holidays, and sick time
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Manager leading a team of database engineers to manage CCC's data platform. Overseeing mission - critical applications and collaborating with cross - functional teams in a hybrid environment.
As a Principal Data Architect at Solstice, lead the design and implementation of data architecture solutions. Ensure data integrity, security, and accessibility to meet strategic organizational goals.
Data Platform Specialist overseeing data workflows and enhancing data quality for Stackgini's AI - driven IT solutions. Collaborating with teams to drive improvements and stakeholder support.
Data Engineer designing data pipelines in Python for a major railway industry client. Collaborate with Data Scientists and ensure code quality with agile methodologies.
Senior Data Engineer responsible for building and optimizing data pipelines for banking analytics initiatives. Collaborating with data teams to ensure data quality and readiness for enterprise use.
Senior Data Engineer developing scalable data solutions on Databricks for analytics and operational workloads. Collaborating with cross - functional teams to modernize the data ecosystem.
Data Engineer focused on analytics and data pipeline development for network optimisation. Collaborating with teams to deliver high - quality data solutions with Python and SQL.
Senior Product Manager defining platform capabilities for Data Cloud in Salesforce. Collaborating with R&D teams while shaping product strategy for Data 360 integration.
Senior Data Engineer at Goodwin enhancing data platforms and fostering data - driven culture across teams. Collaborating with IT and Finance on technology solutions and data governance practices.