Senior Data Engineer

Dotdash Meredith, America's largest digital and print publisher, is seeking a Senior Data Engineer to join their Data Operations team. This role offers an exciting opportunity to work with a portfolio of respected brands across lifestyle, health, and finance verticals.

The position requires strong Python and SQL skills, with the successful candidate playing a crucial role in building and maintaining data integration pipelines that feed into the company's data lakes and warehouses. The role combines technical expertise with business acumen, as you'll work closely with stakeholders to implement business requirements and ensure data deliverables meet expectations.

Working in a hybrid environment (3 days per month in office if near their locations in New York, Des Moines, Birmingham, Los Angeles, Chicago, or Seattle), you'll be responsible for enhancing systems, optimizing data transformations, and ensuring data quality and integrity. The role offers competitive compensation ($140,000 - $170,000) and an impressive benefits package including unlimited PTO, comprehensive healthcare, and 401k with company match.

Key technical requirements include 3+ years of experience with Python data pipelines, expertise in complex SQL queries, and experience with cloud platforms (GCP/AWS). Knowledge of Apache Spark, Beam, and data streaming architectures (Pub/Sub, Kafka) is essential. The ideal candidate will be both a strong team player and capable of working independently, with a passion for learning and implementing new technologies.

This is an excellent opportunity for a senior-level data engineer looking to make an impact at a major digital media company, working with large-scale data systems while maintaining high standards of data quality and system efficiency. The role offers a balance of technical challenges, business interaction, and the chance to work with cutting-edge data technologies in a flexible, modern work environment.