Experienced Full Stack Data Engineer – Cloud-Based Data Warehousing and Business Intelligence Development at blithequark

Introduction to blithequark and the Industry blithequark is a leading innovator in the tech industry, providing cutting-edge solutions and services that transform the way businesses operate. As a key player in the private sector, blithequark is committed to delivering exceptional results and pushing the boundaries of what is possible. The company's dedication to innovation and customer satisfaction has created a dynamic and exciting work environment that is perfect for talented professionals looking to make a real impact. The data engineering field is rapidly evolving, with new technologies and techniques emerging all the time. As a data engineer at blithequark, you will be at the forefront of this evolution, working with the latest tools and methodologies to design, develop, and implement complex data systems. With a strong focus on cloud-based solutions, you will have the opportunity to work with a range of technologies, including AWS, Python, Redshift, and QuickSight. Job Summary We are seeking an experienced and self-motivated Data Engineer to join our team at blithequark. As a Data Engineer, you will be responsible for designing, implementing, and supporting complex data systems, including data warehouses and lakes, using the AWS big data stack. You will work closely with cross-functional teams, including engineering, product, and finance, to develop and implement advanced analytics solutions that drive business growth and improvement. The ideal candidate will have a strong background in data engineering, with experience in designing and developing data systems from the ground up. You will be proficient in a range of technologies, including SQL, Python, and AWS, and have a deep understanding of data modeling, warehousing, and ETL pipelines. Excellent business acumen and communication skills are also essential, as you will be working closely with stakeholders to develop and implement solutions that meet their needs. Key Responsibilities Design, implement, and support data warehouse/data lake systems using the AWS big data stack, including Python, Redshift, QuickSight, and other technologies Develop and manage ETLs to source data from various financial, operational, and external systems, and create unified data models for analysis and reporting Create and support real-time data pipelines using AWS technologies, including EMR, Glue, Redshift, and Athena Collaborate with other engineering teams, product/finance leaders, and analysts to implement advanced analytics solutions that leverage our rich datasets for financial modeling, statistical analysis, prediction, and more Stay up-to-date with the latest big data and analytics technologies and trends, and apply this knowledge to drive innovation and improvement in our data systems Use business intelligence and data visualization tools, such as QuickSight, to develop dashboards and reports that provide insights and value to senior leadership and other stakeholders Enable technical and non-technical users to drive their own analysis and reporting, and provide support for ad-hoc reporting as needed Work closely with colleagues to drive continuous model implementations for monitoring and alerting of risk systems Manage multiple requests simultaneously and prioritize tasks effectively to meet deadlines and deliver results Collaborate with cross-functional teams to deliver results and drive business outcomes Mentor and coach other engineers, and contribute to the development of the team and the company's technical capabilities Essential Qualifications 3+ years of experience in data engineering, with a focus on designing and developing complex data systems Experience with data modeling, warehousing, and ETL pipelines, including SQL and data modeling tools Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field Experience with designing and developing data systems from the ground up, and maintaining and supporting existing systems Experience with managing large and complex datasets, and performance tuning Proficiency in one or more programming languages, including Python, Ruby, or similar Experience with big data warehouses or data lakes, and data modeling for structured and unstructured data Experience with gathering requirements and designing business metrics for reporting Ability to manage ambiguity and competing priorities Preferred Qualifications Experience with AWS technologies, including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases/data stores, including object storage, document or key-value stores, graph databases, and column-family databases Graduate degree in Computer Science, Engineering, Mathematics, Statistics, or a related field Related experience with programming using Python Skills and Competencies To be successful in this role, you will need to possess a range of skills and competencies, including: Strong technical skills, including proficiency in SQL, Python, and AWS technologies Excellent business acumen and communication skills, with the ability to work closely with stakeholders to develop and implement solutions Ability to manage ambiguity and competing priorities, with a focus on delivering results and driving business outcomes Strong analytical and problem-solving skills, with the ability to analyze complex data sets and develop insights and recommendations Collaborative mindset, with the ability to work effectively with cross-functional teams to deliver results Career Growth Opportunities and Learning Benefits At blithequark, we are committed to the growth and development of our employees. As a Data Engineer, you will have access to a range of training and development opportunities, including: Professional development courses and certifications, including AWS and data engineering certifications Mentorship and coaching from experienced engineers and leaders Opportunities to work on complex and challenging projects, with the potential to drive real business outcomes and impact Collaboration with cross-functional teams, including engineering, product, and finance, to develop and implement solutions Access to the latest technologies and tools, including AWS, Python, and data visualization software Work Environment and Company Culture At blithequark, we are proud of our dynamic and inclusive work environment. Our company culture is built on a range of values, including: A commitment to innovation and customer satisfaction A focus on collaboration and teamwork, with a emphasis on cross-functional collaboration and communication A dedication to diversity and inclusion, with a commitment to creating a workplace that is welcoming and inclusive to all employees A emphasis on continuous learning and development, with opportunities for training, mentorship, and coaching A focus on work-life balance, with flexible working arrangements and a range of benefits and perks to support employees' well-being Compensation, Perks, and Benefits At blithequark, we offer a competitive compensation package, including a salary range of $35-40 per year, depending on experience and location. We also offer a range of benefits and perks, including: Comprehensive health insurance, including medical, dental, and vision coverage 401(k) matching and retirement savings plan Flexible working arrangements, including remote work options and flexible hours Opportunities for professional development and growth, including training, mentorship, and coaching Access to the latest technologies and tools, including AWS, Python, and data visualization software Conclusion If you are a motivated and experienced Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity at blithequark. With a competitive compensation package, a range of benefits and perks, and opportunities for growth and development, this is a role that is not to be missed. Apply now to join our team and start driving business outcomes and impact as a Data Engineer at blithequark. Apply Job! Apply for this job