Senior Data Engineer, AdTech
About the role
This role is essential for designing and developing data architectures across on-premise, cloud, and hybrid platforms to support organizational data needs. It primarily involves collaborating with data engineers to analyze, architect, design, and develop data warehouse and business analytics solutions. The role includes mentoring team members to enhance their data engineering skills and capabilities.
Responsibilities
- Develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements
- Design and develop data architectures across on-premise, cloud, and hybrid platforms to ensure scalable data infrastructure
- Perform data wrangling, exploration, and discovery of heterogeneous data to generate new business insights
- Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities
- Mentor team members to build and enhance their data engineering skillsets and professional growth
- Affiliate with management in project definition, including estimating, planning, and scoping work to meet objectives
- Assist management in other duties/projects as assigned by business management as needed
Requirements
- Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
- Acceptable areas of study include Computer Engineering, Computer Science, a related subject area
- 4-7 years Developing cloud solutions using data series; experience with cloud platforms (Amazon Web Services, Azure, or Google Cloud)
- 4-7 years Hands-on development using and migrating data to cloud platforms
- 4-7 years Experience in SQL, NoSQL, and/or relational database design and development
- 4-7 years Advanced knowledge and experience in building complex data pipelines with Python
- Experience in languages such as SQL, DAX Python, Java, Scala, and/or Go
Qualifications
- Licenses and Certifications: Cloud platform certification(s) i.e. AWS Certified Solutions Architect, AWS Certified Cloud Practitioner or Microsoft Certified Solutions Associate (MCSA) (Preferred)
- At least 18 years of age
Skills and Abilities
- Licenses and Certifications: Cloud platform certification(s) i.e. AWS Certified Solutions Architect, AWS Certified Cloud Practitioner or Microsoft Certified Solutions Associate (MCSA) (Preferred)
- At least 18 years of age
Pay
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
Benefits
Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs!