Software Engineer - Data Platform

About Nclusion

Nclusion is on a mission to provide traditional financial services to 1.4 billion people worldwide without access today. Without a secure way to save, invest, or transfer money, individuals are not empowered to accumulate short or long-term wealth. We're changing that by bridging the gap between traditional banking and the communities that need it most.

About the Role

As a founding member of our Data Platform team, you’ll lead the design and development of a scalable, company-wide data platform. You’ll have the freedom to choose the best tools and technologies, while working closely with teams across engineering, product, and operations. This role offers a unique opportunity to shape the foundation of our data strategy and how we leverage AI/ML to enhance the platform’s capabilities and impact in the future.

• Designing and Implementing Data Pipelines: Architect and build efficient and reliable ETL/ELT pipelines to ingest, transform, and load data from various sources (e.g., databases, APIs, streaming platforms)
• Building and Maintaining Data Warehouses and Data Lakes: Contribute to the design, implementation, and optimization of our data storage solutions, ensuring scalability, performance, and data quality
• Ensuring Data Quality and Integrity: Implement monitoring and validation processes to guarantee the accuracy, consistency, and reliability of our data
• Collaborating with Cross-Functional Teams: Work across different teams to understand their data needs and provide them with the infrastructure and tools they need to succeed
• Optimizing Data Infrastructure: Proactively identify and implement improvements to our data infrastructure for performance, scalability, and cost-efficiency
• Troubleshooting and Problem Solving: Diagnose and resolve data-related issues in a timely and effective manner

• 5+ years of experience in a Data Engineer or similar role.
• Strong proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL)
• Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
• Experience with ETL/ELT tools and frameworks (e.g., Apache Airflow, Talend, Informatica)
• Experience with at least one programming language relevant to data engineering (e.g., Python, Scala, Java)
• Familiarity with big data technologies and frameworks (e.g., Spark, Hadoop, Kafka) is a plus
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is highly desirable
• Understanding of data modeling principles and best practices
• Excellent problem-solving and analytical skills
• Strong communication and collaboration skills
• A Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

• 📈 401k with 4% match
• 🩺 Medical Insurance
• 🦷 Dental Insurance
• 👓 Vision Insurance
• 💸 Competitive compensation & equity – We believe in sharing success.
• ✈️ Flexible PTO – We focus on impact, not tracking vacation days. We encourage a minimum of 14 days.
• 🍽️ In-office lunch, team events & culture

In our commitment to fostering a diverse and inclusive workplace, we value the unique perspectives and experiences each individual brings to our team. We encourage all candidates, regardless of background, to apply. Your skills, talents, and potential contributions matter deeply to us, and we believe in creating an environment where everyone has an opportunity to thrive. We recognize that meeting every listed requirement may not always be possible, but we value passion, determination, and a willingness to learn. Your application is an opportunity for us to discover the exceptional qualities you bring.