Senior Data Engineer

Company Description

Merkle is a leading data-driven, technology-enabled, global performance marketing agency that specializes in the delivery of unique, personalized customer experiences across platforms and devices. For more than 30 years, Fortune 1000 companies and leading nonprofit organizations have partnered with Merkle to maximize the value of their customer portfolios. The agency's heritage in data, technology, and analytics forms the foundation for its unmatched skills in understanding consumer insights that drive people-based marketing strategies. Its combined strengths in performance media, customer experience, customer relationship management, loyalty, and enterprise marketing technology drive improved marketing results and competitive advantage. With 5,500 employees, Merkle is headquartered in Columbia, Maryland, with 24 additional offices in the US and 25 offices in Europe and APAC. In 2016, the agency joined the Dentsu Aegis Network.

Job Description

As the Senior Data Engineer, you will maintain, clean and manipulate data in the business's operational and analytics databases. You will work with our software engineers, data analytics teams, data scientists, and data warehouse engineers to understand and aid in the implementation of database requirements, analyze performance, and trouble shoot any existent issues. This is a remote position reporting to Director Merkury Data Management.

Responsibilities:

• You will work with Data Suppliers (technical) for receiving data feeds
• You will work with Suppliers on technical and data related issues to resolve
• You will work with Internal Contracts team to understand data terms, layout, permissible usage
• You will work with Internal Support teams to set up sFTP or s3 access/accounts
• You will validate data delivery from Suppliers to ensure the data is aligned with what is expected
• You will work with our teams on requirements for processing the data
• You will work with internal operations team to understand and support production processing on US time
• You will maintain operational documents to ensure they are current
• You will create optimal data pipeline architecture
• Identify, design, implement internal process improvements; automate manual processes; improve data delivery, redesign infrastructure for greater scalability
• You will work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Keep our data separated and secure
• Understand data identity and analysis concepts

Qualifications

• 5+ years of experience in data engineering
• Snowflake
• Python
• SQL
• Source Control (CI/CD) processes

Additional Information

The anticipated salary range for this position is $94,000-$152,375. Actual salary will be based on a variety of factors including relevant experience, knowledge, skills and other factors permitted by law. A range of medical, dental, vision, 401(k) matching, paid time off, and/or other benefits also are available. For more information regarding dentsu benefits, please visit dentsubenefitsplus.com

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About dentsu
Dentsu is an integrated growth and transformation partner to the world’s leading organizations. Founded in 1901 in Tokyo, Japan, and now present in more than 110 markets, it has a proven track record of nurturing and developing innovations, combining the talents of its global network of leadership brands to develop impactful and integrated growth solutions for clients. Dentsu delivers end-to-end experience transformation (EX) by integrating its services across Media, CXM and Creative, while its business transformation (BX) mindset pushes the boundaries of transformation and sustainable growth for brands, people and society.

Dentsu, Innovating to Impact.

Find out more:
https://www.dentsu.com/
https://www.group.dentsu.com/en/

We are champions for meaningful progress and we strive to be a force for good—for our people, for our clients, for the industry and for our society. We keep our people at the center, creating space for growth, understanding and learning so they can thrive. We embed diversity, in our mindset, in our solutions and in our teams to empower an inclusive, equitable and culturally fluent environment. Building this culture within our teams makes us better collaborators with each other and with our clients, driving better outcomes for all.

Dentsu (the "Company") is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee of the Company, on the basis of age, sex, sexual orientation, race, color, creed, religion, ethnicity, national origin, alienage or citizenship, disability, marital status, veteran or military status, genetic information, or any other legally-recognized protected basis under federal, state or local laws, regulations or ordinances. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and/or certain state or local laws. A reasonable accommodation is a change in the way things are normally done that will ensure an equal employment opportunity without imposing an undue hardship on the Company. Please contact your recruiter if you need assistance completing any forms or to otherwise participate in the application process or to request or discuss an accommodation in connection with a job at the Company to which you are applying.