Senior Analytics Engineer I

Job description

Company Description

Are you ready to trade your job for a journey? Become a FlyMate!

Passion, excitement & global collaboration are all core to what it means to be a FlyMate. At Flywire, we’re on a mission to deliver the world’s most important and complex payments. We use our Flywire Advantage - the combination of our next-gen payments platform, proprietary payment network and vertical specific software, to help our clients get paid, and help their customers pay with ease - no matter where they are in the world.

What more do we need to truly be unstoppable? Perhaps, that is you!

Who we are:

Flywire is a global payments enablement and software company, founded a decade ago to solve high-stakes, high-value payments in education, using modern technology.

Today, we’ve digitized payments for more than 3,000 global clients across education, healthcare, travel & B2B, covering more than 240 countries and territories and supporting over 140 currencies. And, we’re just getting started!

With over 950+ global FlyMates, representing more than 40 nationalities, and in 14 offices world-wide, we’re looking for FlyMates to join the next stage of our journey as we continue to grow.

Job Description

  • Design, build, and optimize robust, reusable, and scalable data pipelines and transformations (using dbt, SQL, and cloud data warehouse technologies).
  • Collaborate with data engineers to ensure reliable data ingestion and with analysts to enable self-service analytics.
  • Develop and maintain well-documented data models, definitions, and metadata to ensure data consistency and transparency.
  • Partner with stakeholders to understand business requirements and translate them into high-quality analytical datasets.
  • Implement and maintain data quality checks, testing frameworks, and monitoring processes.
  • Support performance optimization across ETL/ELT processes and query execution.
  • Drive best practices in data governance, version control, and documentation within the analytics engineering team.
  • Mentor junior team members and contribute to continuous improvement of data workflows and standards.

Qualifications

Must-Have:

  • 7+ years of experience in data engineering, analytics engineering, or related roles.
  • Advanced proficiency in SQL and strong experience with data transformation tools (e.g., dbt).
  • Hands-on experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift, Databricks).  Big Query preferred.
  • Solid understanding of data modeling principles (e.g., Kimball, Data Vault, or modern ELT architectures).
  • Strong Python skills for data manipulation and automation.
  • Experience implementing CI/CD practices in data environments (e.g., Git-based workflows, testing frameworks).
  • Excellent communication skills and ability to work cross-functionally with technical and non-technical stakeholders.

Nice-to-Have:

  • Familiarity with data visualization tools (e.g., Looker, Tableau, Power BI, Mode).
  • Experience with orchestration tools (e.g., Airflow, Dagster, Prefect).
  • Understanding of data privacy, compliance, and security principles.
  • Experience in an Agile delivery environment.

Additional Information

Submit today and get started!

We are excited to get to know you! Throughout our process you can expect to meet with different FlyMates including the Hiring Manager, Peers on the team, the VP of the department, and a skills assessment. Your Talent Acquisition Partner will walk you through the steps and be your “go-to” person for any questions.

Flywire is an equal opportunity employer. With over 40 nationalities across 12 different offices, and diversity and inclusion at the core of our people agenda, we believe our FlyMates are our greatest asset, and we’re excited to watch our unique culture evolve with each new hire.

#LI-Hybrid

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