Senior Data Engineer

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 key player in building, optimizing, and maintaining our data pipelines and architecture. You will work closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure seamless data flow, data quality, and accessibility. Your deep knowledge of Snowflake and Python will be essential in crafting scalable and efficient solutions for our data needs.

**Responsibilities**:
- Design, develop, and maintain robust and scalable data pipelines, ensuring the seamless integration of various data sources into Snowflake.- Collaborate with data scientists and analysts to understand data requirements and translate them into efficient ETL processes.- Optimize data pipelines for performance, reliability, and data quality, utilizing best practices in data engineering.- Develop and maintain data models, schema designs, and data dictionaries within Snowflake.- Work closely with the DevOps team to ensure proper deployment, monitoring, and logging of data pipelines.- Troubleshoot and resolve data pipeline issues, ensuring mínimal downtime and data integrity.- Stay current with industry trends and emerging technologies in data engineering and share insights with the team.

Requirements and technical skills- Bachelor's or higher degree in Computer Science, Engineering, or a related field.- Proven experience of +7 years working as a Data Engineer, with a focus on designing and implementing data pipelines.- Strong expertise in Snowflake, including experience with data modeling, performance optimization, and administration.- Proficiency in Python for scripting and building data transformation processes.- Solid understanding of ETL principles, data warehousing concepts, and data integration best practices.- Experience with cloud platforms (e.g., AWS, Azure, GCP) and associated services is a plus.- Familiarity with version control systems (e.g., Git) and CI/CD pipelines.- Excellent problem-solving skills and the ability to troubleshoot complex data engineering challenges.- Strong communication skills to collaborate effectively with cross-functional teams.- Leadership experience or a demonstrated willingness to mentor and guide junior team members.- Certifications in Snowflake and relevant cloud platforms are advantageous.

If you're a seasoned Data Engineer with a passion for Snowflake, Python, and cutting-edge data solutions, we encourage you to apply. Join us at Blankfactor and contribute to revolutionizing the way we leverage data for meaningful insights.

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.