**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 highly skilled and motivated Data Engineer looking for a challenging and rewarding role? Do you have a passion for working with large datasets, building complex data pipelines, and driving business insights? If so, we invite you to join blithequark's innovative Data Engineering team as a Full Stack Data Engineer. **About blithequark** blithequark is a leading organization in the industry, dedicated to providing cutting-edge solutions for data-driven decision making. Our team of experts is passionate about harnessing the power of data to drive business growth, improve customer experiences, and stay ahead of the competition. We are committed to fostering a culture of innovation, collaboration, and continuous learning, and we are seeking talented individuals who share our vision. **Job Summary** As a Full Stack Data Engineer at blithequark, you will be responsible for designing, building, and maintaining complex data pipelines and applications using AWS big data stack, Python, Redshift, QuickSight, and other related technologies. You will work closely with cross-functional teams to drive business insights, develop data-driven solutions, and improve data quality and accuracy. Your expertise will be essential in helping us stay ahead of the curve in the rapidly evolving data landscape. **Key Responsibilities** * Design, implement, and maintain data warehouse/data lake frameworks using AWS big data stack, Python, Redshift, QuickSight, and other related technologies. * Develop and manage ETLs to source data from various financial, AWS, and operational systems and create a unified data model for analysis and reporting. * Create and support real-time data pipelines based on AWS technologies, including EMR, Paste, Redshift/Range, and Athena. * Collaborate with other Engineering teams, Product/Finance Leaders/Analysts to execute advanced analytics calculations that leverage our rich datasets for financial model development, statistical analysis, forecasting, and more. * Continuously explore the latest big data and analytics advancements to provide new capabilities and increase efficiency. * Use business intelligence and analytics software (e.g., QuickSight) to develop dashboards used by senior executives. * Enable technical and non-technical, internal clients to drive their own analysis and reporting (self-serve reporting) and support ad-hoc reporting when required. * Work closely with colleagues to drive continuous model executions for monitoring and warning of risk systems. * Manage multiple demands simultaneously and decisively, prioritizing when necessary. * Collaborate across teams/jobs to deliver results. * Coach other engineers, impact positively group culture, and assist with growing the team. **Essential Capabilities** * 3+ years of data engineering experience * Experience with data modeling, warehousing, and building ETL pipelines * Experience with SQL * Bachelor's degree in computer science, engineering, statistics, mathematics, data science, IT, or related field * Experience of designing and building 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 scripting 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 ambiguities and competing needs **Preferred Capabilities** * Experience with AWS technologies like 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) * Graduate degree in computer science, engineering, statistics, mathematics, data science, IT, or related field * Related knowledge in programming using Python **Work Environment and Culture** blithequark is committed to creating a diverse and inclusive work environment. We are an equal opportunity employer and do not discriminate based on race, ethnicity, national origin, sexual orientation, gender identity, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who may require accommodations, please let us know. **Compensation and Benefits** Our compensation reflects the cost of living across multiple US geographic markets. The base salary for this position ranges from $35,000/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on various factors, including market area and may vary based on work-related information, skills, and experience. blithequark is a total compensation organization. Depending on the position offered, value, sign-on payments, and other forms of compensation may be provided as part of a comprehensive compensation package, in addition to a full range of medical, financial, and other benefits. **How to Apply** If you are a motivated and experienced Data Engineer looking for a challenging and rewarding role, please apply to this position by clicking on the link below. Apply Job! Apply for this job