Senior Data Engineer | Online Jobs | Optimhire

Senior Data Engineer

About Us

Pangea offers a smarter way for people to move money around the world to friends and family. Founded in 2012, Pangea started with a mission to revolutionize the remittance industry by providing customers a powerful, easy-to-use mobile application to send money internationally. Since then, we have grown to offer additional products and services to help underbanked immigrants gain financial independence.

Pangea operates as an independent subsidiary under Enova International (NYSE: ENVA). Also headquartered in Chicago, Enova is a leading financial technology company offering accessible credit to millions of customers. Together, Pangea and Enova are on a mission to help hardworking people get access to fair financial services.

As Pangeans, we value introspection, accountability, empowerment, excellence, and above all, kindness. We believe in a fierce dedication to customer experience. We know that diversity is the key to innovation and creativity. If you have a growth mindset and you thrive under pressure, you’re a great fit for our team!

About the role:-

Our Engineering team builds and maintains new features for the Pangea platform that improve usability, prevent fraud, and create APIs and services that work with our partners to launch new markets, payment methods, and capabilities. Our platform includes a set of native iOS, Android and Web apps and a set of API microservices built using multiple languages, all hosted on AWS. If you have an entrepreneurial passion, are motivated by building successful products and learning new technologies and systems, then we want to talk to you!

As Senior Data Engineer at Pangea, you will:

  • Integrate third-party API or batch data sources into our data platform that drives business metrics across the company for product insights, marketing effectiveness, fraud prevention, financial reporting, compliance, and operational monitoring.
  • Define and implement policies for how information in our data warehouse is collected, stored, organized, transformed, distributed and consumed.
  • Establish a data analysis framework using machine learning that combines behavior data, transaction monitoring and third party fraud intelligence to drive business decisions around security, fraud and compliance.
  • Implement robust automated data integrity mechanisms to reconcile multiple data sources, and be comfortable investigating complex data discrepancies.
  • Collaborate with internal subject matter experts across the business to develop a broad understanding of data needs.

The ideal candidate will have:

  • BS or MS degree in computer science or a related degree.
  • Strong knowledge of SQL databases such as MySQL and data warehouses such as Snowflake or Redshift. 
  • Strong knowledge of ETL or data orchestration tools such as Airflow, dbt or Matillion.
  • Experience with noSQL databases such as MongoDB or DynamoDB.
  • Experience with python.
  • Experience with AWS.
  • Experience with streaming data solutions such as Kinesis, Kafka, or Spark.
  • Knowledge of machine learning solutions, preferably AWS Sagemaker.
  • Knowledge of BI tools such as Looker or Periscope.
  • You are a quick learner, desire excellence, have attention to detail, and want to work with others who share these traits.


  • Health and dental Benefits for both Employee and his family
  • Stipend of $615 Mexican Pesos Per month
  • 12 paid Vacation
  • 15 days Christmas holidays
  • Once in a year $500 USD as fitness Funding

Job Type


Must have Skills

  • Python - 4 Years


  • SQL
  • AWS
  • MongoDB
  • Apache-Kafka
  • Apache Spark
  • ETL(Extract, Transform, Load)
  • Apache Airflow
  • Data Engineer - 4 Years


  • Data Warehouse


english - Fluent

55 - 55 K/Year USD (Annual salary)

Longterm (Duration)

Partially Remote Mexico City, Mexico


Carolyn M

United States