Senior Data Engineer - Consumer Privacy & Reputation
Array is revolutionizing how businesses leverage and enhance consumer data. Our platform enables innovative companies and developers to seamlessly integrate credit and identity data into their apps, websites or workflows. As a remote-first company, we’re focused on providing opportunities for autonomous individuals to have high levels of impact at the forefront of the fintech space. Continuous improvement, experimentation, and a clear mission stretch us individually and together in service of delivering the best products for our clients and users.
Array is looking for great engineers to join our Consumer Privacy and Reputation Squad. Our consumer Privacy/Reputation technology helps millions of people clean up, protect and improve their online privacy and reputation. Our Privacy API allows enterprises across industries like identity protection, FinTech, banking, antivirus, and cybersecurity to add powerful privacy features to their own offerings through our scalable, industry-leading Privacy APIs and white label partner solutions. Our consumer brands help millions of consumers protect their online privacy and reputation and have been featured on ABC's Shark Tank, BBC's Dragons' Den, and numerous other media outlets.
We're looking for a Data Engineer to join our dynamic technology department. You will focus on working on everything data! This important work will align with the execution of our API & SaaS roadmaps. You will report to the Chief Technology Officer of Hello Privacy, an Array acquired firm.
This is an opportunity to join a fast-growing, profitable venture-backed company in an expanding market in an impactful position. You will work with technologies such as Python, Node JS, Athena, DynamoDB, Couchbase, and many more!
You Will:
- Own your work from technical design, development, testing, maintaining and documenting
- Collaborate with the Product, Business Development, and Engineering teams to solve data related business & technical challenges in simple, sustainable ways
You Have:
- 5+ years of experience as a Data Engineer
- Experience coding around any data request.
- An understanding of Python or applicable data processing languages.
- A firm grasp on Agile software development methodologies
- An understanding of NoSQL and SQL data stores such as Postgres, DynamoDB, and others.
- An understanding of ETL and data pipeline principles connecting to multiple data sources such as a Data Lake & Reporting Systems.
- An understanding of large-scale data processing such as Spark
- An understanding of query engines and can write code in SQL