1 day ago
Remote, United StatesMid Level
H1B sponsor
Base Salary
$68k - $90k/yr
Responsibilities
- Design, build, and operate cloud-based software and data solutions for marketing products.
- Translate functional and non-functional requirements into technical designs, reusable components, and testable modules.
- Implement business logic, APIs, services, integrations, identity-resolution capabilities, and data-processing components.
- Research source data and system relationships while improving data quality and lineage for identity resolution and dataset onboarding.
- Apply software development lifecycle practices including implementation, automated testing, code review, observability, and CI/CD.
- Build unit, integration, and data-quality tests to validate application behavior and output accuracy, completeness, and consistency.
- Develop and optimize algorithms for identity matching, decisioning, validation, and other product capabilities.
- Diagnose defects and production issues across code, services, databases, data stores, and distributed workflows.
- Improve application performance, reliability, and cost while contributing to production support and continuous improvement.
- Communicate requirements, technical concepts, risks, status, and timelines to technical and non-technical stakeholders.
- Participate in code reviews, knowledge sharing, documentation, and agile team activities.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.
- At least 2 years of experience with increasing responsibility in software and/or data engineering roles.
- Strong SQL skills and familiarity with relational and non-relational data modeling.
- Strong proficiency in at least one programming language, with Python preferred.
- Experience building clean, testable application logic and reusable components.
- Experience with cloud-based applications, databases, and data warehouses, with Snowflake preferred.
- Hands-on experience using modern AI coding assistants and agent-based tools securely with validation and review.
- Knowledge of Git-based source control, CI/CD, automated testing, issue tracking tools such as JIRA, and agile delivery.
- Understanding of cloud platforms and cloud-native security and operations, with AWS preferred and GCP or Azure acceptable.
- Familiarity with workflow orchestration or event-driven processing; Airflow and Snowflake streams/tasks are a plus.
- Strong understanding of data structures, algorithms, software design, debugging, and distributed-system fundamentals.
- Basic Unix/Linux command-line skills.
- Experience working with PII data is a plus.
- Excellent written and verbal communication skills, ownership, accountability, attention to detail, and bias for action.
Benefits
- Medical, vision, and dental insurance.
- Life insurance and short-term and long-term disability insurance.
- 401k plan.
- Flexible paid time off.
- At least 15 paid holidays per year.
- Paid sick and safe leave.
- Paid parental leave.
- Remote work location in Maryland; employees within commuting distance of designated hubs are generally expected to work in the office three days per week, or two days per week for Los Angeles employees.
- Full-time, permanent employment.
Categories
BackendData Engineering
About Dentsu
Dentsu is a global advertising and marketing services group that plans and buys media, develops creative campaigns, and builds data- and technology-led customer experiences for brands. It earns revenue from agency fees and media services across a network that includes Carat, iProspect, and Merkle. Founded in 1901 and headquartered in Tokyo, Dentsu is publicly traded in Japan and serves clients across many sectors worldwide.