Experienced Full Stack Data Engineer – Big Data, ETL, and Business Intelligence Solutions with AWS Technologies for Remote Full-Time Opportunity

Join the Innovative Team at blithequark

blithequark is a pioneer in the technology industry, revolutionizing the way businesses operate with cutting-edge solutions. Our Data Engineering team is at the forefront of this innovation, designing and implementing complex data platforms that drive business growth and informed decision-making. We're now looking for a talented and self-motivated Data Engineer to join our team, working on exciting projects that involve huge datasets, data visualization, and performance tuning.

About the Role

The AWS Organization Money and Information Move Information Designing group at blithequark provides a critical and unified data platform for AWS Money, supporting AWS Systems, AWS CloudFront, and AWS Direct Interface. Our team tackles some of the most challenging scalability, performance, and distributed computing problems, processing massive amounts of data and providing tools for clients to intuitively understand the extensive measures of data we store.

Key Responsibilities:

• Design, implement, and maintain data warehouse/data lake infrastructure using AWS big data stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena, etc.
• Develop and manage ETLs to source data from various financial, AWS networking, and operational systems, creating a unified data model for analysis and reporting.
• Create and support real-time data pipelines based on AWS technologies, including EMR, Glue, Redshift/RDS, and Athena.
• Collaborate with other Engineering teams, Product/Financial Managers/Analysts to implement advanced analytics algorithms that leverage our rich datasets for financial model development, statistical analysis, prediction, etc.
• Continuously explore the latest big data and visualization technologies to provide new capabilities and increase efficiency.
• Use business intelligence and visualization software (e.g., QuickSight) to develop dashboards used by senior leadership.
• Enable technical and non-technical internal users 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 implementations for monitoring and warning of risk systems.
• Manage multiple requests simultaneously and decisively, prioritizing when necessary.
• Partner/collaborate across teams/roles to deliver results.
• Mentor other architects, positively influence team culture, and help grow the team.

Requirements and Qualifications

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, Analytics, Math, Statistics, IT, or similar.
• Experience designing and developing data engineering systems from scratch and maintaining/supporting existing systems.
• Experience managing large and complex datasets and performance tuning.
• Proficiency in one of the scripting languages - Python, Ruby, or similar.
• Experience working with large data warehouses or data lakes.
• Experience designing data models that support structured and unstructured data.
• Experience 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 Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
• Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases).
• Graduate degree in Computer Science, Engineering, Analytics, Mathematics, Statistics, IT, or similar.
• Related experience in programming using Python.

What We Offer

At blithequark, we're committed to creating a diverse and inclusive work environment. We're an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our compensation reflects the cost of work across several US geographic markets. The base salary for this position ranges from $35-40 per year in our lowest geographic market up to $205,600 per year in our highest geographic market. Pay is based on various factors including market location and may vary depending on job-related knowledge, skills, and experience. blithequark is a total pay company. Depending on the position offered, equity, sign-on payments, and other types of pay might be provided as part of a complete pay package, in addition to a full range of clinical, financial, and other benefits.

Why Join blithequark?

blithequark is a leader in the technology industry, offering a dynamic and innovative work environment. Here are some reasons why you should consider joining our team:

• Opportunities for career growth and professional development.
• Collaborative and inclusive work environment.
• Flexible work arrangements, including remote work options.
• Competitive compensation and benefits package.
• Access to cutting-edge technologies and tools.
• Recognition and rewards for outstanding performance.

How to Apply

If you're a motivated and talented Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity at blithequark. Please submit your resume and a cover letter explaining why you're the perfect fit for this role.

Don't miss this chance to join our team and be part of the innovation that's shaping the future of technology. Apply now and take the first step towards a rewarding career at blithequark!