Are you a Senior Full-Stack Data Engineer looking for a lead role where you will mentor other Data Engineers? Yet still be hands on building out and scaling faultless Data Pipelines? How about being part one of the hottest startups in NYC who just got another round of funding? If this sounds like a role for you, keep reading….
What’s The Job?
As a Senior Full-Stack Data Engineer, you will be mentoring our junior/mid-level Data Engineers while also being hands on developing and scaling our robust Data Pipelines. You will work closely with the Data Science team in a Full-Stack environment.
You will integrate systems for monitoring of streaming and batch data processing, and track data quality and consistency. As a Senior Full-Stack Data Engineer, you will be in constant communication with multiple Data Science teams on how we can improve our technical practices and client deliverables. Everything you do goes into production, there are no shelfs here filled with POC’s, nor is it a warehousing role.
You will be working with publicly available and/or willfully provided data that is used for behavioural analysis through our proprietary Social Graphing technology. We’re building a better, more ethical, mousetrap when it comes to targeted advertising and we want you to be part of this new frontier.
Who Are We?
We are a technology startup that utilizes our proprietary technology to provide our clients with the Data Driven edge they need. We work with political campaigns, advocacy groups, nonprofit groups, and are now expanding into the commercial space.
We just moved to our new larger home in Midtown Manhattan, and have all the office perks you would expect with a cool hot startup such as us. It’s a relaxed atmosphere where we dress casually and have fun, but we take our work seriously and are committed to providing the most professional and effective service/product to our clients.
What Skills / Experience Do You Need To Be Part Of Our Team?
A Computer Science or STEM education.
Experience building out faultless (large) Data Pipelines / ETL jobs.
Experience mentoring other Data Engineers.
We use Python, Spark, Databricks, and AWS so you need to be well versed using these tools.
A background in Data Science and/or Quant experience is a plus.
$160,000 – $200,000 Base Salary.
Significant Equity Package
Performance Based Bonus