As a Data Engineer/ Software Engineer working for one of the most established publishing and digital media organizations, you will be working to build our Data Warehouse (AWS) and build out our Data Pipelines.
What is the Job?
As a Senior Software / Data Engineer on our team, you will be building out our Data Warehouse, Data Pipelines, and the ETL work. We use AWS Glue, Python, and Spark among other tools to do this.
You will be hands-on working with an experienced data engineering team to help build out our new data systems.
You will work alongside database developers and architects, driving technology solutions to support our data management strategy.
You will be working closely with the business team, project management, QA and other members of the engineering team to ensure the successful execution of new projects while also sustaining and improving ongoing operations.
Who Are We?
We are an 80-year-old publishing and digital media organization that reaches millions of readers daily. We are headquartered in Yonkers, New York, and are an organization that prides itself in stability, work-life balance, (35-hour work week and we offer overtime even though this is a full-time role), and growth.
Don’t worry if you’re not based in Yonkers, we have shuttles running from New York City or the Yonkers Metro-North stop that will take you right to our doorstep! We currently employ 600 people and have a subscriber base of over 7,000,000 readers.
Though our company has been around a long time, we have worked very hard to keep up with the new technology trends and are now looking to add to our Data Engineering team.
What Skills Do We Need?
• Experience building Data Warehouses, and Data Pipelines.
• Hands-on experience as an ETL engineer.
• Strong knowledge of AWS, Python, Spark, SQL, and Linux environment.
• $125,000 - $145,000
• Full-Time Role.
• Paid Overtime (we run a 35 hour work week)
• Full Benefits Package
We are big proponents of diversity, and encourage diverse applicants / candidates with diverse backgrounds to apply.