Senior Data Engineer

What we do

At Blankfactor, we are dedicated to engineering impact. We are passionate about creating value by building best-in-class tech solutions for companies looking to transform, innovate, and scale. In every project, we aim to deliver work that moves the needle and drives measurable outcomes for our partners and clients. Our full-stack development, data engineering, digital product, and enterprise AI solutions cater to a range of industries, including payments, banking, capital markets, and life sciences.

We are headquartered in Miami, Florida, have offices in Bulgaria, Colombia, and Romania, and are rapidly expanding our global footprint. Our culture of engineering excellence, technical expertise, and care for both our clients and our talented workforce has made us one of the fastest-growing companies in America.

We only hire the best and brightest. If you have talent and ambition, join us and be part of an environment that fosters innovation, collaboration, and growth. Welcome to Blankfactor!

What to expect in this role:

As a Senior Data Engineer, you will play a key role in developing and optimizing data pipelines, ETL processes, and analytics solutions that handle large volumes of transaction data in real-time. You will collaborate closely with product, engineering, and compliance teams to ensure data reliability, accuracy, and security. This is an exciting opportunity to work on mission-critical systems in the financial industry and leverage your skills in big data, cloud infrastructure, and modern data engineering practices.

• Design, build, and maintain scalable and efficient ETL/ELT pipelines to process high volumes of financial transaction data from various sources including card networks, partner banks, and APIs2.
• Ensure seamless integration of structured and unstructured data from multiple sources (issuer, card networks, payment platforms) into centralized data warehouses and data lakes.
• Implement real-time data streaming and processing systems to handle large-scale transactions and events using tools like Kafka, Kinesis, Spark etc.
• Manage and optimize data storage solutions (e.g., Snowflake, Redshift) to ensure efficient querying and reporting.
• Implement robust data validation, error handling, and auditing mechanisms to ensure the accuracy and integrity of financial data.
• Collaborate with compliance and security teams to ensure data governance standards are met.
• Implement monitoring, alerting, and logging for data pipelines and systems to ensure high availability and performance.
• Ensure all data handling meets stringent security and compliance standards (PCI DSS, GDPR, etc.) required in our business

Our stack:

• Cloud platform – AWS
• Execution engine – Glue (Spark)
• Real-time solution – MSK/Kinesis
• Data discovery/observability – DBT
• Data Orchestration – Apache Airflow
• Data Warehouse – TBC
• IasC – Terraform/Terramate
• CI/CD – Bitbucket pipelines

Requirements and technical skills:

• 5+ years of proven experience as a Senior Data Engineer preferably in fintech, or payment industry (though domain is not a deal-breaker).
• Advanced knowledge of Python and (No)SQL.
• Experience with modern data warehousing technologies (Snowflake, Redshift, or similar).
• A solid understanding and hands-on experience(preferably) with real-time and event-driven systems such as Kafka, Kinesis or similar.
• Strong experience with ETL/ELT pipeline development using tools such as AWS Glue, Apache Airflow, DBT, etc
• Working knowledge of Terraform for Infrastructure as Code.
• Experience with distributed computing and big data technologies like Spark.
• Experience with cloud platforms such as AWS, GCP or Azure (preferably AWS) and services.
• Working knowledge of containerization (Docker).
• Strong communication skills to collaborate with cross-functional teams and translate business needs into technical solutions.
• Ability to troubleshoot and resolve complex data issues in high-pressure environments.
• Ability to work with large data sets and support insight developments that drive business decisions.
• Bachelor’s or Master’s degree in computer science, Information
• Systems, Data Science, Engineering or a related field.

What you can expect as a member of the Blankfactor team:

• Fintech Expertise: Access to expertise in machine learning, data science, big data, and AI, providing opportunities for continuous learning and exposure to cutting-edge technologies.
• Technology exams/Certifications covered by the company
• World-class workspace for unleashing creativity
• Lunch is provided when working from the office
• Fresh fruits and snacks in the office
• Diverse client portfolio
• Cutting-edge high-tech stack
• Monthly on-site gatherings
• Annual festivities: Participate in team-building activities, family BBQs, and end-of-year celebrations
• Participation in Sporting Challenges and Marathons
• Voluntary social events

We believe that diversity of experience and background contributes to more robust ideas and a stronger team. All qualified applicants will receive consideration for employment without regard to religion, race, sex, sexual orientation, gender identity, national origin, or disability.