Lead Data Engineer

Job Description:

We are looking for a Lead Data Engineer with AI-assisted coding knowledge, and big data processing experience. Join our team to build products supporting dentsu's marketing vision using cloud technologies. You will collaborate with a passionate team solving complex problems and developing data analysis features. Adapt quickly, innovate solutions, and provide incremental value for customers. You will also support client solution teams in their efforts.

Key Responsibilities

• Project initiatives and team collaboration
• Mentor new software engineers in the team
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Lead building monthly data assets and designing data pipelines
• Coordinate with other teams as part of a larger data-sharing system
• Understand business needs, and write clear user and technical documentation

• Research and introduce new solutions and technologies, contributing to Snowflake Native App development

• Use Agile methodologies and AI tools for rapid feature releases
• Guide best practices throughout the development lifecycle: develop, review, and deliver with CI/CD using industry standard practices

• Participate in quality assurance and automated testing

• Resolve production issues, participate in on-call support, onboard clients, and communicate with client teams

• Foster a positive and collaborative team environment

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience

• 6+ years in software development
• Database fundamentals, SQL skills and understanding of relational and non-relational data models

• Expertise with object-oriented programming languages (Java and Python)

• Expertise of big data platforms/warehouses (Snowflake preferred, Hadoop a plus)

• Proficient in Agile Development, Vibe Coding, Issue Tracking (JIRA), code repositories (Git, Bitbucket), SDLC, testing methodologies, and continuous integration

• Expertise with cloud technologies (AWS preferred, GCP, Azure)

• Knowledge of data processing workflows (Airflow, Snowflake streams/tasks)

• Experience with data structures, algorithms, distributed systems

• Unix command line skills, Bash scripting

The annual salary range for this position is ($113,000 -$182,850 ). 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.

To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.

#LI-MM3 #LI-Hybrid #LI-Remote

Location:

USA - Remote - Maryland

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. 

  

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