Senior Data Engineer

Remote from
USA flag
USA
Annual salary
Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Job type
Full Time,
Job posted
Apply before
30 Dec 2024
Industry
Information Technology & Services
Experience level
Senior

About Experian

Experian unlocks the power of data to create opportunities for consumers, businesses and society.

We are looking for a Senior Data Engineer to join our global engineering team. This role will report into the Sr. Software Engineering Manager. 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. We use Scala, in combination with large-scale data processing on Google Cloud, machine learning, and open-source technologies, to build our device graph.

What You’ll Do

  • Be a senior member of the team by contributing to the architecture, design, and implementation of EMS systems
  • Mentor junior engineers and promote their growth
  • Lead technical projects. Manage the planning, execution and success of complex technical projects
  • Collaborate with other engineering, product, and data science teams to ensure we’re building the best products
  • Be on call if required and to accommodate east coast time zone. This role is remote and open to hiring in any state

Qualifications

  • 5+ years of experience making contributions in the form of code
  • Experience with algorithms and data structures and knowing when to apply them
  • Deep familiarity with Scala or Java
  • 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
  • Experience in Machine Learning techniques and tools is a plus
  • You will need to accommodate Eastern Time Zone workday
  • #LI-Remote

Skills and Experience

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

Benefits/Perks:

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

Additional Information

Our uniqueness is that we celebrate yours. Experian’s culture and people are main differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering… the list goes on. Experian’s people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) 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 a critical 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, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Apply now >

Salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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FAQ

What position is Experian hiring for?

Experian is hiring a remote Senior Data Engineer from 🇺🇸 USA

What type of employment does Experian offer?

This is a Full Time role.

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