Senior Data Engineer

Are you passionate about building scalable, high-performance data solutions? Do you want to be part of a team that drives analytics and audience engagement through innovative data products? We’re looking for a Senior Data Engineer to help shape the future of our data ecosystem. You’ll collaborate with Data Product Managers, Architects, and fellow engineers to design, implement, and optimize data pipelines and warehousing solutions that empower data-driven decision-making. What you’ll do: Design and grow data products and systems for analytics and audience engagement Build scalable ETL pipelines in cloud, on-prem, and hybrid Big Data environments Work with tech like Hadoop, AWS, Snowflake, Spark, Airflow using Python, Scala Architect data solutions and define data models for warehouses and marts Ensure data quality, governance, and operational efficiency Embrace agile methodologies and contribute to team health and process improvements What we’re looking for: 6+ years of data engineering experience with large pipelines Expertise in SQL and distributed systems (Spark, Hadoop, Hive, Presto, PySpark) Experience with MPP/cloud databases like Snowflake, Redshift, BigQuery Solid understanding of data modeling, warehousing, and integration tools like Airflow Familiarity with Scrum and Agile practices Excellent problem-solving, communication, and analytical skills Bonus: Experience with AWS technologies (S3, EMR, EC2) Job Details

Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: IT Services and IT Consulting

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