MediaRadar
Senior Data Engineer
United States · Senior
Sponsorship not specifiedDetected 23 days ago
PythonCode ReviewGitSQLPostgreSQLDatabricksAWSAzureDockerKubernetesCI/CDKafkaAirflowdbtData EngineeringResearchLeadershipMentoring
About the role
- We also expect our engineers to work in a modern, AI-assisted way - using AI coding tools and prompt-based workflows to move faster without compromising quality.
- AI-Assisted Development: Champion the use of AI coding assistants (e.g., GitHub Copilot, Cursor, Claude) and prompt-based development to accelerate prototyping, code generation, refactoring, testing, and documentation.
- Establish best practices, guardrails, and review standards so the team uses these tools effectively and safely.
Responsibilities
- Lead, manage, and grow a distributed team of data engineers (across North America and India) who report directly to you.
- Design, build, and optimize robust ETL pipelines that move and transform millions of daily data points reliably and efficiently.
- Set technical standards and raise the bar across a distributed team (North America and India) through design guidance, code reviews, and mentorship - leading by expertise rather than direct people management.
- We're excited to meet people who share our values and want to build the future with us!
Requirements
- 8+ years in data engineering / ETL, with a strong track record as a hands-on engineer who has architected and built data platforms (Principal-level candidates will bring deeper architectural and cross-team impact).
- Hands-on experience with technologies such as ClickHouse, dbt, and open-source data pipeline / orchestration tools (e.g., Airflow, Dagster, or similar), with the judgment to choose the right tool for the job.
- Demonstrated ability to independently prototype, benchmark, and evaluate new technologies and make pragmatic adoption decisions.
- Strong proficiency in Python (or similar) for building and automating data pipelines.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Familiarity with containerization (Docker, Kubernetes) and infrastructure-as-code.
- Streaming & Real-Time: Experience with streaming/real-time data technologies (e.g., Kafka).
- Experience with streaming/real-time data technologies (e.g., Kafka).
Nice to have
- Previous experience in Advertising, Media, or Market Research.
Skills
- Strategy & Architecture: Help shape the technical vision for our ETL and data platform.
- Operational Excellence: Establish testing frameworks, QA plans, observability, and CI/CD practices that guarantee data integrity at scale.
Benefits
- Radarians can expect a great benefits package that includes:
- Bonus Points (Nice to Haves) Domain Expertise: Previous experience in Advertising, Media, or Market Research.
- Drive the hands-on migration away from Azure Databricks toward a more open, flexible stack, minimizing disruption to our high-volume daily data delivery.
Company info
- We are committed to ensuring our recruitment process is accessible to all applicants.
- We are looking for a highly technical, hands-on Senior Data Engineer to drive the evolution of our data delivery platform while leading a team of data engineers.
Equal opportunity
- In accordance with the EEO-1 reporting requirements, we collect demographic data as part of our efforts to ensure fair and equitable hiring practices across all levels of our organization.
- If you need a reasonable accommodation during the application or interview process, please contact us at careers@mediaradar.com.
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This listing is sourced directly from MediaRadar's careers page and normalized into a canonical job model.