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Senior Data Engineer-US Remote

A

Location
United States
Base Salary
75k USD
Accertify

Job Description

Accertify is the trusted partner to the world's leading brands. With industry-leading fraud prevention, chargebacks, and account protection offerings, we help our clients grow revenue and protect against loss. When you join Accertify, you become part of the digital solution to enable commerce across the globe. Team Accertify provides a solution merchants trust and a career you can trust.

Join us in our mission—and build a career you can trust.

Accertify is growing, and we are looking to add a Senior Data Engineer to our global fraud-fighting team.

How will you make an impact in this role?
The Senior Data Engineer will work within Accertify’s Product Development organization and be responsible for developing data sources and compilation processes to support reporting and analytics features. They will work as an individual contributor role in a cross-functional capacity alongside members of Accertify technical and business teams, including Product Management, Development, Big Data, Decision Sciences, Architecture, and client-facing teams.

Responsibilities:
  • Design, code, and document data compilation and aggregate processes to make large-scale data sources available to user-facing BI features
  • Contribute to validation and monitoring processes to ensure the integrity of data compilations and code
  • Partner with Client Performance Analytics and Product Management colleagues to design efficient and resilient data sources that meet business needs
  • Partner with Data Design and Big Data colleagues to optimize compilation processes and data availability across multiple data centers
  • Partner with Product Development to incorporate data sources into user-facing product features
  • With Data Governance and client-facing business teams, create processes to identify and address data definition and mapping issues
  • Apply Development best practices to code review and change management processes
  • Other ad-hoc data sourcing or analytic responsibilities as assigned

Minimum Qualifications:
  • Minimum four years of applied coding experience in software development or Big Data architecture
  • Fluency in one or more of the following coding languages and platforms: Python, PySpark, SQL, Scala, Java, Spark, Flink, Drill (PySpark experience highly preferred)
  • Experience with version control procedures and software (Gitlab)
  • Familiarity with data compilation concepts and best practices; experience building efficient aggregation processes and highly performant data sources
  • Applied experience in process optimization and troubleshooting complex data relationships
  • Proven ability to effectively communicate with internal departments and stakeholders to deliver highly detailed technical information
  • Ability to maintain resiliency and handle ambiguity in a fast-paced, heavily customized environment with high-profile, strategic enterprise clients
  • Must be collaborative, motivated, creative, and results-oriented
Preferred Qualifications:
  • Bachelor’s degree or higher in Computer Science, Engineering, Data Science, Data Analytics, or a related field
  • Certifications in the languages or platforms listed above or in related areas
  • Experience integrating Big Data and aggregate sources into user-facing BI objects; preferred experience with Tableau or similar software
  • Experience in the Fraud or Risk Detection industry
  • Knowledge of and experience with online payment processors, billing service providers, and tools/platforms/resources used to combat online fraud
  • Experience with Accertify Interceptas and Account Protection products and technical infrastructure
  • Potential salary range: $75,000-150K. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
  • This role is eligible for remote US-based (work-from-home) locations. Chicago-based candidates would work in a hybrid capacity from the Accertify HQ located in Itasca, IL

Advice from our career coach

I have reviewed the job description for a Senior Data Engineer position at Accertify. To stand out as an applicant, it is crucial to showcase your expertise in coding, data compilation, and Big Data architecture. Here are some key tips for a successful application:

  • Demonstrate at least four years of applied coding experience in software development or Big Data architecture.
  • Show fluency in coding languages and platforms such as Python, PySpark, SQL, Scala, Java, Spark, Flink, and Drill.
  • Highlight experience with version control procedures and software like Gitlab.
  • Show familiarity with data compilation concepts and best practices, as well as experience in optimizing aggregation processes and creating performant data sources.
  • Emphasize your ability to communicate effectively with internal departments and stakeholders to deliver technical information.
  • Show you are collaborative, motivated, creative, and results-oriented, able to handle ambiguity in a fast-paced environment.
  • If possible, showcase any relevant certifications, a Bachelor's degree or higher in relevant fields, and experience with Tableau or user-facing BI objects.
  • If you have experience in Fraud or Risk Detection industries, online payment processors, or specific knowledge of Accertify products and technical infrastructure, make sure to highlight it.

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About the job

May 18, 2024

Full-time

75k USD

  1. US United States
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