Senior Data Engineer

About Justt

Justt is a fintech company dedicated to revolutionizing financial technology solutions. We're building the next generation of financial infrastructure and need forward-thinking engineers who are passionate about staying ahead of the technology curve. Our culture embraces innovation, continuous learning, and adopting emerging technologies to solve complex financial challenges.

The Role

As a Senior Data Engineer at Justt, you will architect, optimize, and maintain our data infrastructure while actively exploring and implementing cutting-edge data technologies. You'll have the freedom to experiment with new tools and approaches, pushing our data capabilities beyond conventional boundaries. This role balances maintaining our core infrastructure while constantly evolving our tech stack to maintain our competitive edge in the fintech space.

Responsibilities

Design, implement, and optimize data pipelines using Dbt, Rivery, and FiveTran, with opportunities to evaluate and integrate newer pipeline technologies
Enhance and maintain our Snowflake data warehouse architecture while exploring modern data lakehouse architectures and real-time processing capabilities
Lead initiatives to modernize our data stack, including evaluating and implementing next-generation data technologies
Collaborate with data scientists, analysts, engineers and other stakeholders to understand and meet their data needs
Implement robust data quality monitoring and testing frameworks
Optimize data flows from various sources including MongoDB, PostgreSQL, and Google Sheets
Work with AWS cloud infrastructure to ensure scalability and performance, with opportunities to explore multi-cloud strategies
Develop and maintain data documentation and governance standards aligned with emerging best practices
Participate in code reviews and mentor junior engineers on both existing and new technologies
Troubleshoot and resolve complex data engineering issues
Research and propose adoption of emerging technologies that could provide competitive advantages
Lead proof-of-concept projects to validate new data technologies before wider adoption

Requirements:

5+ years of experience in data engineering roles with a demonstrated interest in technology evolution

Strong expertise in SQL and Python
Experience with modern data warehousing platforms, particularly Snowflake
Proficiency with dbt (data build tool) for transformation workflows
Experience with ETL/ELT tools such as Airflow, Rivery, and FiveTran
Hands-on experience with MongoDB and PostgreSQL databases
Strong understanding of data modeling concepts and techniques
Proficiency with Git for version control
Experience with AWS cloud services
Knowledge of data governance and security best practices
Excellent problem-solving and analytical skills
Strong communication skills and ability to work effectively in a team environment
Growth mindset and eagerness to learn new technologies

Technical Growth Areas We're Exploring

Stream processing technologies (Kafka, Flink, Spark Streaming)
Real-time analytics and data serving layers
Data mesh architecture principles
Vector databases and embedding technologies
Semantic layers and metrics frameworks (MetricFlow, Cube)
Feature stores for machine learning
Data contracts and data product thinking
Hybrid transactional-analytical processing (HTAP) systems
Zero-ETL architectures
Privacy-preserving computation techniques

Nice to Have

Experience in the fintech industry
Knowledge of real-time data processing frameworks
Experience with data visualization tools
Familiarity with containerization and orchestration technologies
Experience with infrastructure as code (IaC)
Understanding of machine learning workflows and MLOps
Contributions to open-source data projects
Experience implementing data mesh architectures