Data Engineer

  • Remote - United States

Remote

Data

Mid-level

Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

Experian Marketing Services is looking for a Data Engineer to join our global engineering team. This role will report to the Director of Engineering. You will build 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. We use Scala, in combination with large-scale data processing on Google Cloud, AWS, machine learning, and open-source technologies, to build our suite of Graph products.

Responsibilities

  • Enhance the team by contributing to the architecture, design, and implementation of EMS systems
  • Contribute to technical projects. Working with Tech Leads to design, build, and deliver successful, complex technical projects
  • Be on call if required and to accommodate east coast time zone
  • Collaborate with other engineering, product, and data science teams to ensure we’re building the best products

Qualifications

  • 3+ years of experience making contributions in the form of code
  • Experience with algorithms and data structures in knowing when to apply them. Familiarity with Scala, Java, or Python is a plus.
  • Experience working with high-scale systems: realtime and batch
  • Interested in data engineering to develop ingestion engines, ETL pipelines, and organizing the data to expose it in a consumable format
  • Passionate about helping your teammates grow by providing insightful code reviews and feedback
  • #LI-Remote

Skills & Experience

  • Google Cloud Platform (GCP) or AWS
  • Scala, Java, Python, sbt, cats, http5s, fs2
  • Airflow, Kubernetes
  • Google Dataflow/Beam, Spark, SQL, BigQuery or similar data warehouse

Additional Information

Benefits/Perks:

  • Great compensation package and bonus plan of 15%
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remotely, hybrid, or in-office
  • Flexible time off including volunteer time off, vacation, sick, and 12-paid holidays

Our uniqueness is that we celebrate yours. Experian’s culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering… the list goes on. Experian’s people first approach is award-winning; World’s Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian’s DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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