Engineering | New York, NY | Full Time
Unified is a leading provider of digital advertising services and solutions powered by data and technology. Our proprietary technology is designed to change the business of digital advertising by helping brands achieve unprecedented marketing results. Unified provides expert Managed and Professional Services super-charged by innovative operations and insights platforms, as well as cutting-edge Data Management and Audience Insights solutions. With a range of offerings, we are able to create custom solutions for our clients, tailored to their needs and goals. Headquartered in New York City and with offices in Los Angeles and Atlanta, Unified has managed over $5B in advertising data for the world’s largest brands and agencies and run more than $1B in advertising campaigns.
For the last four years, Unified has been recognized by AdAge and Crain’s as one of the “Best Places To Work”. For more information, visit www.Unified.com or follow @Unified on Twitter. Unified is an equal opportunity employer.
We are looking for a full stack engineer with a demonstrated track record of developing and maintaining production services, innovative thinking, and technical excellence. This role will be a mixture of technical design, individual contribution, and thorough testing.
You will be part of our fast paced, innovative team of engineers who engage in full stack development of features involving building delightful front-end experience as per our design specifications to building microservices and designing data stores for the backend.
You are flexible with languages and tools and are willing to learn whatever is necessary to get the job done.
Collaborate with our product and design teams to understand pain points and build solutions.
Help maintain a high level of engineering quality.
You build collective ownership amongst the team by contributing to code reviews, designs and whiteboarding.
What you'll do:
Gain valuable experience at a rapidly growing big data company
Collaborate with independent technology teams using the agile methodology
Build interactive and intuitive UIs that solve complex problems and are a delight to use
Building new, efficient, and scalable front-end applications
Contribute to robust APIs that pull from both graph and relational databases
Collaborate closely with a product team to plan, execute, and ship business critical projects
Write clean, maintainable, and testable code
Participate regularly in code reviews with your peers
Test your creativity at Unified hack-a-thons
Ship work you're proud of
Need to have:
Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience
2.5+ years experience of designing and building successful customer facing web applications
Proficient in at least one, preferably statically typed, programming language i.e. (Java, C++, Golang)
Experience contributing to and integrating with REST APIs
Hands-on experience in writing complex, highly-optimized SQL queries in at least one of the common database platforms such as MySQL and/or PostgreSQL
Experience running shell commands, e.g. OS X or Linux terminal
Experience writing unit and integration tests
Good architectural level understanding, the ability to see the big picture, and the ability to evaluate different approaches and tools and use instincts to make timely judgements
Excellent communication and teamwork skills
A cooperative, understanding, open, and friendly demeanor
A mindset of continuous improvement
Experience with Git and Github, including Github Pull Request workflows
Experience working with GraphQL for querying APIs and serving relevant data
Global UI state management with Apollo and React Apollo
MVVM framework Vue.js
Amazon Web Services
Microservice architecture design principles
Graph databases, e.g. Neo4j
Columnar data stores, e.g. Amazon Redshift, BigQuery
CI/CD systems, e.g. Jenkins
Experience with Atlassian software development and collaboration tools (JIRA, Confluence, etc.)
Social networks APIs, e.g. Facebook, Twitter, LinkedIn
Data pipeline and streaming tech, e.g. Hive, Spark, Kafka, Kafka Streams