Senior Data Engineer

Company: Galileo
Location: Sandy
Posted on: May 8, 2022

Job Description:

Employee Applicant Privacy Notice Who we are: Welcoming, collaborative and having the opportunity to make an impact - is how our employees describe working here. Galileo is a financial technology company that provides innovative and revolutionary software products and services that power some of the world's largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. Galileo leads its industry with superior fraud detection, security, decision-making analytics and regulatory compliance functionality combined with customized, responsive and flexible programs to accelerate the success of all payments companies and solve tomorrow's payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why we work here at . The role: As a Senior Data Engineer in the Fraud team, you'll work very closely with ML Engineers and Data Scientists to create advanced machine learning solutions to recognize risky transactions for Galileo's clients and their customers--even before they do. You'll be a key member of the team building the industry's next-generation risk and fraud solutions. You will build an end to end Machine Learning training data pipeline in AWS. You will be involved in building a rich feature set for ML models and also help build tools for model deployment and monitoring. What you'll do:

• Create and maintain optimal data pipeline architecture
• Assemble large, complex feature sets that meet functional / non-functional business requirements
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies
• Work with ML Engineers on retraining data pipeline from Sagemaker
• Help deliver next-level metrics, monitoring, visualization, alert and tooling to give Data Scientists and Engineering Leaders deep visibility into the health of the services across all environments
• Work in a collaborative manner with other engineers, product managers, data scientists etc to build comprehensive solutions quickly with high quality
• Be a champion of customer-focused quality by defining and working with others to drive world-class service availability and quality
• Partner with experts in product strategy and management to lead the industry in risk and fraud solutions What you must have to succeed:
  • Bachelor's Degree or higher in a quantitative field (Computer Science, Software Engineering, etc.) -
  • 3+ years of experience working as a data engineer
  • Have worked on AWS cloud services like Athena, EMR, EC2, Glue, Kinesis, Redshift, RDS, Lambda, S3
  • Experience with stream-processing systems such as Storm, Spark-Streaming, etc.
  • Experience with data pipeline and workflow management tools such as Airflow
  • Experience with object-oriented/object function scripting languages such as Python
  • Experience with big data tools such as Spark, Kafka, Kinesis etc.
  • A values-driven approach to your role--SoFi and Galileo are values-driven firms and we look to work with people who are values-driven as well
  • Excellent communication and a team player - Good to Have:
    • Understanding of REST APIs
    • Experience with LookML (Google Looker), Snowflake highly desirable #LI-KJ1#LI-USREMOTE Why you'll love working here:
      • Competitive salary packages and bonuses
      • Comprehensive medical, dental, vision and life insurance benefits
      • Generous vacation and holidays
      • Paid parental leave for eligible employees
      • 401(k) and education on retirement planning Retirement plans and planning
      • Tuition reimbursement on approved programs
      • Monthly contribution up to $200 to help you pay off your student loans
      • Great health & well-being benefits including: telehealth parental support, subsidized gym program
      • Fully stocked kitchen (snacks and drinks) Galileo Financial Technologies provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The health and safety of our employees and their families is our top priority. Due to the ongoing nature of the COVID-19 pandemic, and because unvaccinated employees pose a direct threat to the health and safety of others in the workplace, effective on November 1, 2021, U.S. employees must be fully vaccinated to work from any of our offices, travel for business or attend work-related meetings. The company will make reasonable accommodations when possible for employees who are unable to be vaccinated because of a disability, pregnancy, sincerely held religious belief, or for other legally required reasons. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights Galileo is committed to embracing diversity. As part of this commitment, Galileo offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

Keywords: Galileo, Sandy , Senior Data Engineer, Engineering , Sandy, Utah