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Senior Data Engineer

4 months ago

Miami, Florida, United States Blankfactor Full time

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.

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 at Blankfactor, you will be a key player in building, optimizing, and maintaining our client's 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 analyzing and interpreting data as well as data modeling, warehousing and ETL concepts and hands-on practical experience is essential in supporting our client's data needs.

Responsibilities

  • Perform detailed data analysis and interpretation to design target data structures and ETL.
  • Design, develop, and maintain robust and scalable data pipelines, ensuring the seamless integration of various data sources.
  • Collaborate with data scientists, analysts and client stakeholders 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 metadata.
  • Work closely with the production support teams to ensure proper deployment, monitoring, and logging of data pipelines.
  • Troubleshoot and resolve data pipeline issues, ensuring minimal 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
  • 2+ years of hands-on experience with Snowflake
  • Payments and financial services data experience
  • Strong ability to analyze and interpret data including synthesizing and communicating findings to executive and client audiences
  • Strong expertise in Snowflake, including experience with data modeling, performance optimization, and administration.
  • Proven understanding of ETL principles, data warehousing concepts, and data integration best practices.
  • Proficiency in scripting and building data transformation processes.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and associated services.
  • 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 and client leadership.
  • Leadership experience or a demonstrated willingness to mentor and guide junior team members.
  • Certifications in Snowflake and relevant cloud platforms are advantageous.
  • Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.

If you're a seasoned Data Engineer with a passion for Snowflake 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 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.

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