Senior Data Engineer

About Leapfrog

Leapfrog stands as an experienced and trustworthy technology ally. Since 2010, we have relentlessly worked on crafting better digital products with our team of skilled engineers. We specialize in building SaaS products and have served over 100 clients with our mastery of emerging technologies.

We’re thinkers and doers, creatives and coders, makers and builders— but most importantly, we are trusted partners with world-class engineers. Hundreds of companies in Boston, Seattle, Silicon Valley, and San Francisco choose us to gain speed, agility, quality, and stability, giving them an edge over their competitors.

About the role

As a Senior Data Engineer, you will closely work with to build data processing, data warehousing infrastructure, and data visualization systems. You will be part of a learning culture where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

• Follow software development best practices and industry standards to deliver a robust system
• Write analytical queries based on business requirements
• Database schema design based on the product requirements
• Database query optimization, maintain ETL workflows and SQL scripts for data transformation and analysis
• Engage and participate in all stages of the Software Development life cycle process: Planning, design, development, testing and deployment.
• Prepare flow diagram and technical documentation
• Work and collaborate independently or in a team

Requirements:

• At least 4 years of experience in Software development using relational databases & SQL (PL/SQL, T-SQL is preferred)
• Well-versed and experienced with at least one of the programming languages (Preferred: Python, JavaScript, etc)
• Strong knowledge of architectural principles, design patterns, data structures, and algorithms.
• Strong knowledge of OLTP and OLAP database design, best practices and database architecture with experience in Data Warehouse design and data analysis.
• Must have hands on experience in ETL, data transformation, functions, stored procedures, triggers etc
• End to end understanding of Software components and architectural layers - Frontend, Backend, REST APIs, OLTP, OLAP databases etc.
• Proven experience with cloud-based infrastructure (AWS, Azure, or Google Cloud) and building cloud-native applications.
• Proficient working knowledge of GIT and GIT based development workflows
• Excellent problem-solving, analytical, communication, and negotiation skills.
• Willingness to learn, contribute, lead and grow with us.

Preferable Skills:

• Experience with Generative AI and Large Language Models (LLMs) along with their implementation in real-life applications.
• Knowledge of data visualization and BI tools like Power BI, Tableau etc.
• Experience with containerization such as Docker and Kubernetes
• Familiarity with ETL automation tools like Apache Airflow, Pentaho DI, SSIS, etc.
• Experience with AWS techs like EC2, EBS, S3, SNS, RDS, Lambda, and Fargate

Interested candidates are requested to send in their cover letter and resume clarifying their work experience and expected salary to ta@lftechnology.com by 5 September 2025.