Implement data schemas, stored procedures, data pipelines, and data visualization artifacts
Maintain services for ingestion, transformation, and loading of data from several data sources and small to large datasets
Develop scalable data pipelines and API integrations to support increases in data volume and complexity
Implement processes to monitor data quality, ensuring production data is always accurate and available for partners and business processes that depend on it
Prepare and deliver reports to leadership on data quality and recommendations for continuous improvement
Implement changes to data architecture and transform data to prepare for use by the data scientists and development teams
Support Data Engineer leadership to create standards based on industry best practices for ETL solutions, data storage, data ingestion, and data pipelines
Collaborate with IT for database administration

Familiarity with several data storage and management services such as relational databases, non-relational database, Data Lake 2.0
Experience with cloud platforms (Azure preferred) and big data technologies like Hadoop
Understanding of software development lifecycles
Familiar with best practices and IT operations for database administration
Experience with Agile Software Development methodologies
Process-oriented with great documentation skills
B.S. in Computer Science, Information Systems, or equivalent
3+ years of experience developing data schemas, stored procedures, data pipelines, and data visualization
Microsoft Certified: Azure Data Engineer Associate

Comprehensive Medical benefits which could include medical, dental, vision, prescription coverage and Health Savings Account (HSA) with employer contributions options
Wellness Programs designed to support employees in maintaining their health and well-being including Employee Assistance Program providing support for our employees and their household members
401(k) with Company Match Contributions to support employees' retirement
Paid Vacations and Company Holidays
Opportunities for Flexible Work Arrangements to promote work-life balance
Educational Reimbursement and Comprehensive Career Programs to help employees grow in their careers
Global Recognition and Service Programs to celebrate employee accomplishments and service
Employee Referral Program

Data Engineer

Key skills