It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. About us 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 and Colombia, 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 you will do As a Senior Data Engineer at Blankfactor, you will be a critical architect of our data ecosystem, responsible for designing, building, and optimizing data pipelines that empower our data-driven decision-making process. Your deep expertise in Apache Airflow and Python will be instrumental in creating efficient, reliable, and scalable solutions that contribute to our success. **Responsibilities**: - Design, develop, and maintain end-to-end data pipelines using Apache Airflow, ensuring smooth data flow and efficient scheduling of tasks.- Collaborate closely with data scientists, analysts, and other cross-functional teams to understand data requirements and translate them into effective ETL processes.- Implement best practices for data quality, data consistency, and data integrity within the pipelines.- Optimize data workflows for performance and scalability, continuously identifying opportunities for improvement.- Create and maintain clear documentation for data pipelines, ensuring easy understanding and seamless knowledge sharing across the team.- Troubleshoot and resolve pipeline issues promptly to minimize disruptions and ensure data accuracy.- Mentor and guide junior data engineers, providing technical leadership and fostering their professional growth.- Stay up-to-date with industry trends and emerging technologies related to data engineering, sharing insights and recommendations with the team. Requirements and technical skills- Bachelor's or higher degree in Computer Science, Engineering, or a related field.- Proven track record of +7 years as a Data Engineer, specializing in designing and implementing data pipelines.- Extensive experience with Apache Airflow for orchestrating and scheduling data workflows.- Proficiency in Python for scripting, data manipulation, and building ETL processes.- Strong understanding of ETL principles, data warehousing concepts, and data integration best practices.- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related data services.- Knowledge of database systems and data storage solutions.- Excellent problem-solving skills and the ability to troubleshoot complex data engineering challenges.- Strong communication skills for effective collaboration across interdisciplinary teams.- Prior experience in mentoring or leading junior team members is a plus.- Certifications in Apache Airflow, Python, or relevant cloud platforms are advantageous. If you are a skilled Data Engineer with a passion for Apache Airflow, Python, and advancing data solutions, we encourage you to apply. Join us at Blankfactor and contribute to revolutionizing the way we utilize data to drive impactful insights in the payment industry. What We Offer- Competitive salary with an attractive benefits package- Working on wide-ranging and interesting areas with highly skilled professionals, international clients, and the latest technologies.- A culture of collaboration and continuous learning in a work environment invested both in nurturing your skills and shaping our common technological future. 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.