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Job Location: New York, NY
COVID-19 UPDATE: The NYC office has recently opened for local employees who meet vaccination requirements. All interviews will remain virtual. Talk to your recruiter about the options of remote, hybrid, or in office work!
Founded in 2010, Tapad cracked the code on cross-device marketing technology. Our groundbreaking, proprietary technology assimilates trillions of data points to find the relationship between smartphones, desktops, laptops, tablets, and connected TVs. Ten years later, we are processing data at petabyte scale, with an engineering team that comprises roughly half of our entire organization. When you work with us, you matter, and your work matters.
We use Scala, in combination with large-scale data processing and open-source technologies, to build our device graph. Across our engineering teams, we also use Scala, GCP, Spark, Kubernetes, Python, TypeScript, Angular, and anything else that helps us get the job done. We’re open-minded about new technologies, we’re passionate about what we do, and we make time for everyone to learn and grow as the industry changes. Engineers at Tapad are approachable and ambitious people who think outside the box and solve big problems collaboratively. Are you up for the challenge?
Small Teams; Big Data
At Tapad, we look for individuals who are motivated by complex and challenging work. We want to work with people who share compelling solutions to those challenges, solutions informed by their unique experiences, passions, and expertise.
We are looking for a Software Engineer to join our global engineering team in New York City. We need a person who can work hands-on as an engineer, solving complex problems and building advanced software systems. We face daily challenges that are both unique and engaging, while processing data at petabyte scale. That is over one trillion data points in any given 60-day period — with consumer privacy and data security at the heart of everything we do.
The size and scale of our challenges demand the use of cutting edge, open-source technologies, like Apache Spark, Apache Beam, and Kubernetes. We’re proud to have been built on Scala from day one.
Collaboration is at the forefront of our day-to-day at Tapad. You would be working with multiple engineering domains, and with our commercial teams, to guarantee that we are delivering the best products. We believe that our engineers have an obligation to dissent and discuss. A successful Tapad engineer understands that their ideas hold weight, and they contribute freely and regularly. We want someone who is motivated to find large-scale solutions with us. We work with big data on small teams. Every contribution is important.
When you work with us, you matter. We ask our employees to make an impact, and feel it is only right to give a lot in return. We offer every employee a 401k with matching, generous parental leave and PTO. We believe if you’re sick, feel like you’re getting sick, or just need a personal day, you should take that time to get better. We have free virtual lunches every month, free continuous education, and an open door policy every day. We make sure our virtual office is a welcoming space, full of individuals who can teach and learn from one another everyday.
Technologies we use at Tapad (don’t worry, we’ll teach you):
- Google Cloud Platform (GCP), Google Dataflow/Beam, SQL, BigQuery
- Scala, sbt, cats, http4s, fs2
- Spark ML, TensorFlow, Kubeflow, Python, PyTorch
- Airflow, Looker, Kubernetes
A day in the life as a Tapad Engineer:
- Solve complex problems building advanced software systems, while processing several petabytes of data
- Adapt quickly to utilize software engineering best practices
- Demonstrate the ability to deliver quality software collaboratively
- Designing, implementing, and running big data pipelines that canvas over petabytes of data
- Contributing to real production projects that constitute Tapad’s core offering
- Collaborate with your team of engineers, and add to product, account, and business development functions to create new products and features
- Learn functional programming
- Ensure that the software you create is testable and tested
We are looking for candidates who meet some of the following qualifications:
- 3+ years of experience making significant contributions in the form of code
- Strong understanding of algorithms and data structures and knowing when to apply them
- Deep familiarity with one or more programming languages (Ex: Scala, Java, Python, etc.)
- Interest in machine learning techniques to develop better predictive and clustering models
- Experience working with high-scale systems
- Proficiency in SQL
- Interest in creating powerful machine learning tools that facilitate experimentation and productionalization at scale
- Interested in data engineering and warehousing to develop ingestion engines, ETL pipelines, and organizing data to expose it in a consumable format
Bonus Experience:
- Experience with building systems for model training and serving using TensorFlow, Keras, PyTorch, Spark ML, or Kubeflow
- Experience with functional programming
- Strong understanding of concurrent and parallel programming
Tapad Perks:
- Generous PTO, sick time off, and paid Volunteer Time Off (VTO)
- 401k matching, Life, LTD & STD Insurance, dental, vision, and telehealth plan with 24/7 access to a dedicated team of physical and mental healthcare providers
- Scala School (we’ll teach you!), LinkedIn Learning, peer-led professional development, continuous education stipend, and an abundance of resources to help you stay sharp
- Unlimited snacks and beverages for local staff in-office, collaboration lunches (virtual lunches for remote teammates)
- Discounts on gym memberships and wellness programs
- Foosball, ping pong, diversity and inclusion group, book club, virtual game nights and happy hours, and tons of other extra-curricular activities that will make you feel like part of the Tapad family
- Check out our #TapadLife page to see what our employees have to say
- Find more about our engineering culture HERE
Additional Information
Experian Marketing Service’s mission is to accelerate client success through enabling ecosystems, partnerships, and technology solutions. We help brands put people at the heart of their business and have meaningful interactions with their customers.
Founded in 2010, Tapad cracked the code on cross-device marketing technology, creating not only the first but the most robust global cross-device digital identity graph on the market. Ten years later, The Tapad Graph enables marketers to maximize their digital marketing investment for years to come. In November 2020, Experian acquired Tapad, which furthers Experian’s strong commitment to digital identity, activation and connected TV. As a leading provider of consumer data analytics and targeting solutions, Experian Marketing Services has a rapidly growing need to continue expanding our strategy on identity data and services to meet market demand.
All your information will be kept confidential according to EEO guidelines.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Our goal is to create a thriving, inclusive and diverse team where people love their work and love working together. We believe that diversity, equity and inclusion is essential to our purpose of creating a better tomorrow. We value the uniqueness of every individual and want you to bring your whole, authentic self to work. For us, this is The Power of YOU and and it reflects what we believe. See our DEI work in action!
If you live in Colorado, Connecticut or New York City, please contact us here for the salary range of this position (include this Job Title in your email). In addition to a competitive base salary and variable pay opportunity, Experian offers a comprehensive benefits package including health, life and disability insurance, generous paid time off including parental and family care leave, an employee stock purchase plan and a 401(k) plan with a company match.
Experian U.S. employees are required to be fully vaccinated for COVID-19.
Experian Careers – Creating a better tomorrow together
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