Sr. Data Engineer and Data Engineer at Scadea
Sr. Data Engineer and Data Engineer
Scadea
Boston, MAsenior1 day ago
Full Timehybrid1-3Years
$116,139/year
Job Description
Join our dynamic team as a Sr. Data Engineer or Data Engineer, where you'll play a pivotal role in shaping data solutions that empower our analytics and AI initiatives. Your expertise will help us manage and optimize our enterprise data, driving insights that influence key business decisions. In your day-to-day work, you'll leverage Snowflake to build and maintain scalable data pipelines, focusing on data ingestion, transformation, and curation. You'll work closely with investment data and collaborate with cross-functional teams to ensure our analytics needs are met, using your skills in AI and analytics to drive innovation and efficiency. You'll be part of a supportive team that values growth and collaboration, providing you with ample opportunities to expand your skill set and advance your career. We believe in nurturing talent and fostering a culture where everyone can thrive. This role stands out because it combines cutting-edge technology with meaningful impact on our business. You'll not only work with advanced tools but also have the chance to contribute to projects that are crucial for our strategic goals.
Responsibilities
Design and build scalable data pipelines using Snowflake for efficient data ingestion. Lead the transformation of investment data into actionable insights for analytics applications. Architect robust data curation processes to ensure high-quality enterprise data management. Drive AI-driven analytics initiatives leveraging data engineering best practices. Implement data governance frameworks to enhance data integrity and accessibility. Collaborate with cross-functional teams to optimize data architecture and performance.
Key Skills
Snowflake
25%
Data Pipelines
15%
AI
10%
Data Curation
10%
Data Ingestion
10%
Benefits
Competitive salary and comprehensive health benefits to support your well-being. Generous paid time off policies to ensure a healthy work-life balance. Opportunities for professional development and continuous learning in the data field. Supportive work environment promoting collaboration and innovation among colleagues. Flexible work hours to accommodate your personal commitments and lifestyle. Access to exciting company events and team-building activities throughout the year.
