Data Engineering Solutions Specialist

1 week ago

New York, New York, United States Early Warning Services Full time

At Early Warning Services, we're driving innovation in payments and financial solutions. We partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

As a Senior Software Developer - Analytics, you'll develop, document, test, debug, and maintain data and analytics engineering solutions for Paze. You'll provide expertise and familiarity in software tools, frameworks, and best practices in secure software engineering.

Key Responsibilities

  • Bidirectional integration between batch and stream processing systems.
  • Development of advanced analytic solutions using Business Intelligence and Machine Learning tools.
  • Design and implementation of infrastructure components required for Data and Analytics.
  • Continuous integration and deployment of data solutions.
  • Design and implementation of tests ensuring quality, performance, and scalability of our application.
  • Able to identify and troubleshoot complex production issues for Support and Operations teams.
  • Collaborate with product managers, designers, and other engineering groups to conceptualize and build new features.
  • Support the company's commitment to risk management and protecting the integrity and confidentiality of systems and data.

Requirements

  • Bachelor's degree in Computer Science, Computer Science Engineering, or related field.
  • Minimum 5 years direct experience in Software Engineering or related experience.
  • Two (2) or more years' experience in development of Data Warehouses, Big Data platforms, real-time & batch processing, and data standards.
  • Ability to influence and work in a collaborative team environment.
  • Working experience with cloud infrastructure (Google Cloud Platform, AWS, Azure).
  • Knowledge of mature engineering practices (CI/CD, testing, secure coding).
  • Knowledge of Software Development Lifecycle (SDLC) best practices, software development methodologies (Agile, Scrum, Lean), and DevOps practices.
  • Excellent written and spoken communication skills.

Preferred Qualifications

  • Additional education and/or work experience preferred.
  • Large Scale Cloud Data Lake/Warehouse transformation.
  • AWS Cloud experience in Streaming, Batch Data Management.
  • Redshift or other large warehouse Management experience.
  • Advanced SQL and Analytics.
  • BI tools like Tableau, Quicksight.
  • Data Governance and Quality Controls.
  • Computer language experience (Python, PySpark, R).
  • Monitoring and Alerting systems experience (AppDynamics, Splunk).
  • AWS certification in Solution Architecture/Analytics.
  • FinTech experience highly beneficial.

Salary

The estimated salary range is $120,000 - $140,000 per year, depending on location (Phoenix, AZ, Chicago, IL, New York, NY, San Francisco, CA). In addition to the base pay, candidates are eligible for a discretionary bonus and benefits package including competitive medical, dental, and vision plans, 401(k) retirement plan with company match, paid time off, and parental leave.

About Us

We value diversity, equity, and inclusion. We are committed to creating an inclusive workplace culture that fosters equal opportunities and respects differences. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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