
Data Engineer
Job Description
Posted on: May 31, 2025
The purpose of this role is to maintain, improve, clean and manipulate data in the business's operational and analytics databases. The Data Engineer works with the business's software engineers, data analytics teams, data scientists and data warehouse engineers in order to understand and aid in the implementation of database requirements, analyse performance, and troubleshoot any existent issues. Job Description: As the 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
- Maintain operational documents to ensure they are current
- Create data pipeline architecture
- Identify, design, implement internal process improvements; automate manual processes; increase data delivery, re-desing re-design infrastructure for greater scalability
- You will work with stakeholders 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
Skills:
- 2+ years of experience in data engineering
- Project Management
- Snowflake
- Python
- SQL
- Source Control (CI/CD) processes
The annual salary range for this position is $68,000-110,400. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law. Benefits available with this position include:
- Medical, vision, and dental insurance,
- Life insurance,
- Short-term and long-term disability insurance,
- 401k,
- Flexible paid time off,
- At least 15 paid holidays per year,
- Paid sick and safe leave, and
- Paid parental leave.
Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com. Location: USA - Remote - New Jersey Brand: Merkle Time Type: Full time Contract Type: Permanent Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to ApplicantAccommodations@dentsu.com by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you.
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