**Experienced Full Stack Data Engineer – Web & Cloud Application Development**

**Join blithequark's Innovative Data Engineering Team and Shape the Future of Data-Driven Decision Making** Are you a seasoned data engineer with a passion for building complex data pipelines and driving business insights? Do you thrive in a fast-paced, dynamic environment where no two days are the same? Look no further! blithequark is seeking an experienced Full Stack Data Engineer to join our cutting-edge data engineering team. As a key member of our team, you will play a critical role in designing, building, and maintaining large-scale data systems that drive business growth and innovation. **About blithequark** blithequark is a leading provider of cloud-based data engineering solutions, empowering businesses to make data-driven decisions and drive growth. Our team of experts is passionate about harnessing the power of data to create innovative solutions that transform industries. With a culture of innovation, collaboration, and continuous learning, we are committed to delivering exceptional results and making a lasting impact. **Job Summary** We are seeking an experienced Full Stack Data Engineer to join our team and contribute to the design, development, and maintenance of large-scale data systems. As a key member of our team, you will work closely with cross-functional teams to deliver high-quality solutions that meet the evolving needs of our business. Your expertise in data engineering, cloud computing, and software development will enable you to drive business insights and growth through data-driven decision making. **Key Responsibilities** * Design, build, and maintain large-scale data systems using AWS big data stack, Python, Redshift, QuickSight, and other related technologies. * Create and manage ETL pipelines to source data from various financial, AWS, and operational systems, and create a unified data model for analysis and reporting. * Develop and support real-time data pipelines based on AWS technologies, including EMR, Paste, Redshift/Range, and Athena. * Collaborate with other engineering teams, product managers, and analysts to execute advanced analytics and machine learning models that leverage our rich datasets for financial modeling, statistical analysis, forecasting, and more. * Stay up-to-date with the latest big data and analytics technologies to deliver new capabilities and improve efficiency. * Use business intelligence and analytics software (e.g., QuickSight) to develop dashboards used by senior executives. * Enable technical and non-technical stakeholders to drive their own analysis and reporting (self-serve reporting) and support ad-hoc reporting as needed. * Work closely with colleagues to drive continuous model deployments for monitoring and alerting of risk systems. * Manage multiple priorities simultaneously and decisively, focusing on high-impact tasks. * Collaborate across teams and departments to deliver results. * Coach and mentor junior engineers, impact positively on team culture, and contribute to the growth of the team. **Essential Capabilities** * 3+ years of experience in data engineering, with a strong focus on designing, building, and maintaining large-scale data systems. * Experience with data modeling, warehousing, and building ETL pipelines. * Strong proficiency in SQL and experience with data visualization tools. * Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field. * Experience in designing and developing data engineering frameworks from scratch and maintaining/supporting existing frameworks. * Experience in managing large and complex datasets and execution tuning. * Proficiency in one of the programming languages: Python, Ruby, or similar. * Experience working with large data warehouses or data lakes. * Experience in designing data models that support structured and unstructured data. * Experience in gathering requirements and designing business metrics for reporting. * Ability to manage ambiguity and competing priorities. **Preferred Capabilities** * Experience with AWS technologies, including Redshift, S3, AWS Paste, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions. * Experience with non-relational databases/data stores (object storage, report or key-value stores, graph databases, column-family databases). * Master's degree in computer science, engineering, mathematics, statistics, or a related field. * Proficiency in Python programming. **Work Environment and Culture** blithequark is committed to creating a diverse and inclusive work environment that fosters innovation, collaboration, and continuous learning. Our team is passionate about harnessing the power of data to drive business growth and innovation. We offer a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off. **Compensation and Benefits** Our compensation package reflects the cost of living across various US geographic markets. The base salary for this position ranges from $205,600/year in our lowest geographic market to $205,600/year in our highest geographic market. Pay is based on various factors, including market area and may vary depending on work-related information, skills, and experience. blithequark is an equal opportunity employer and does not discriminate based on race, color, national origin, sex, sexual orientation, gender identity, protected veteran status, disability, age, or other legally protected status. **How to Apply** If you are a motivated and experienced data engineer looking for a new challenge, please submit your application through our website: Apply Job! We look forward to hearing from you! Apply for this job