Senior Data Engineer

MediaRadar; United States; Remote; USD 150,000 - 165,000; Full time

Job summary

A data-driven marketing firm is seeking a Senior Data Engineer to take ownership of their data infrastructure. This role involves designing and optimizing data pipelines, leading a team of engineers, and ensuring data integrity. With 7+ years of data engineering experience and expert knowledge in Python and SQL, you will help drive business decisions based on complex data sets. The position is fully remote and offers a comprehensive benefits package including medical insurance and flexible PTO.

Benefits

Medical, Dental & Vision Insurance

401k with Company Match

Flexible PTO

Commuter Benefits

Gym Discounts

Summer Fridays

Qualifications

• 7+ years of hands-on experience in data engineering.
• Expert-level proficiency in Python, including PySpark.
• Deep expertise in SQL and Spark SQL.

Responsibilities

• Design, implement, and optimize scalable ELT/ETL pipelines.
• Guide and support a team of data engineers.
• Develop testing frameworks to ensure data integrity.

Skills

Data engineering

Python

Databricks

SQL

Apache Spark

Education

Bachelor’s or master’s degree in computer science or related field

Tools

Databricks

Azure DevOps

Docker

Kubernetes

Job description

Role: Senior Data Engineer

Location : Remote (To ensure effective collaboration across teams, this position requires availability during core working hours in the EST/CST time zones.)

About MediaRadar
MediaRadar, now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. Our competitive advertising intelligence platform enables clients to achieve peak performance with always-on data and insights that span the media, creative, and business strategies of five million brands across 30+ media channels. By bringing the advertising past, present, and future into focus, our clients rapidly act on the competitive moves and emerging advertising trends impacting their business.

Job Description

We are seeking an experienced Senior Data Engineer to join the team and take ownership of our data infrastructure. With millions of new data points ingested daily, your mission will be to architect, build, and scale robust data pipelines that ensure flawless data quality. You'll work with a passionate team on a modern cloud data stack (Azure, Databricks), solving complex challenges to deliver timely and reliable data that drives our business and delights our customers.

What You'll Do

• Architect & Build: Design, implement, and optimize scalable and reliable ELT/ETL pipelines using Databricks, Spark, Python and Store Procedures. You will model complex data and build solutions for both batch and streaming workloads.
• Lead & Mentor: Guide and support a team of data engineers, providing technical direction and resolving challenges. You will elevate the team's skills through mentorship and constructive code reviews to ensure we ship high-quality, efficient code.
• Ensure Data Integrity: Develop and implement comprehensive testing frameworks, data validation rules, and QA plans to guarantee the accuracy and integrity of our data assets.
• Optimize & Troubleshoot: Proactively monitor system performance, tune complex SQL queries, and troubleshoot production issues. You will perform root-cause analysis and implement lasting solutions to improve system health and reliability.
• Collaborate & Innovate: Actively participate in an Agile environment (Scrum, sprints, backlog grooming) and collaborate with cross-functional teams. You'll help evaluate and introduce new technologies and best practices to continuously improve our data platform.

What You'll Bring (Qualifications)

• A bachelor’s or master’s degree in computer science, Engineering, or a related field (or equivalent practical experience).
• 7+ years of hands-on experience in data engineering, with a strong focus on Databricks, Apache Spark and 1 RDBMS solution for processing large-scale datasets.
• Expert-level proficiency in Python (including PySpark) and a strong understanding of data structures, algorithms, and OOP principles.
• Deep expertise in SQL and Spark SQL, with proven experience writing and optimizing complex analytical queries.
• Hands-on experience with the Databricks ecosystem, including Delta Lake, Unity Catalog, and Data frame APIs.

Bonus Points (Nice to Haves)

• Experience building and maintaining CI/CD pipelines using tools like Azure DevOps.
• Previous experience migrating a legacy data system to a modern, unified data platform.
• Familiarity with containerization (Docker, Kubernetes).
• Experience working in a fast-paced, product-driven environment.

In addition to career progression, training and development, and an excellent work/life balance, future Radarians can expect a great benefits package that includes:

• Medical, Dental & Vision Insurance
• 401k with Company Match
• Flexible PTO
• Commuter Benefits
• Gym Discounts
• Summer Fridays

At MediaRadar, we are committed to creating an inclusive and accessible workplace where everyone can thrive. We believe that diversity of backgrounds, perspectives, and experiences makes us stronger and more innovative. We are proud to be an Equal Opportunity Employer and make employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other legally protected status.

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. This is a full-time exempt role with a base salary range of $150,000 - $165,000, plus benefits. A final compensation offer will ultimately be based on the candidate's location, skill level and experience, and the Company's pay equity. We are also committed to ensuring our recruitment process is accessible to all applicants. If you need a reasonable accommodation during the application or interview process, please contact us at [e-mail].

Note: Please note that we are unable to sponsor employment visas at this time, and we are not considering candidates seeking short-term or contract-based employment in the U.S

We’re excited to meet people who share our values and want to build the future with us.