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

**Job Summary:** Join arenaflex, a leading technology and strategy company, as a Staff Data Engineer to help us scale our data infrastructure, automation, and tools to meet growing business needs. As a key member of our Information Designing group, you will play a crucial role in designing, building, and executing large-scale, high-volume, high-performance data models and pipelines for our Information Lake and Data Warehouse. If you're passionate about data engineering, have a strong background in programming languages like Python/Java, and experience working with ETL tools and cloud platforms, we want to hear from you! **About arenaflex:** At arenaflex, our mission to empower local economies shapes how our colleagues work, learn, and collaborate to make significant decisions that prioritize our diverse range of clients – from Dashers to merchant partners to consumers. We're a technology and strategy company that started with home-to-home delivery, and we're looking for colleagues who can help us evolve from an organization known for delivering food to one that people turn to for all possible products. arenaflex is growing rapidly and constantly changing, offering our colleagues the opportunity to share their unique perspectives, solve new challenges, and own their careers. **About the Job:** As a Staff Data Engineer at arenaflex, you will be a specialized expert who will help us scale our data infrastructure, automation, and tools to meet growing business needs. You will work with colleagues and partners to understand data requirements, collaborate with design, product groups, and external partners to gather required data, and design, build, and execute large-scale, high-volume, high-performance data models and pipelines for our Information Lake and Data Warehouse. You will also build reusable structures that improve the reliability and flexibility of our ETLs, manage a set of data products that deliver high-grade, reliable data, and mentor and train colleagues to improve their skills and projects. **Key Responsibilities:** * Work with colleagues and partners to understand data requirements and collaborate with design, product groups, and external partners to gather required data * Design, build, and execute large-scale, high-volume, high-performance data models and pipelines for our Information Lake and Data Warehouse * Build reusable structures that improve the reliability and flexibility of our ETLs * Manage a set of data products that deliver high-grade, reliable data * Mentor and train colleagues to improve their skills and projects * Work with ETL tools and cloud platforms like AWS/GCP * Collaborate with cross-functional teams to design and implement data solutions * Troubleshoot and resolve data-related issues * Stay up-to-date with industry trends and emerging technologies **Essential Qualifications:** * 3+ years of professional experience in data engineering, business intelligence, or a similar role * Strong background in programming languages like Python/Java * Experience working with ETL tools and cloud platforms like AWS/GCP * Master's degree in Data Science, Computer Science, or a related field * Experience working with data warehousing and business intelligence tools like Snowflake, Redshift, PostgreSQL, and Looker * Strong analytical and problem-solving skills * Excellent communication and collaboration skills **Preferred Qualifications:** * Experience working with data streaming and messaging systems like Kafka/Flink * Experience working with data visualization tools like Tableau, Power BI, or D3.js * Experience working with machine learning and artificial intelligence tools like TensorFlow, PyTorch, or Scikit-learn * Experience working with cloud-based data platforms like Amazon S3, Google Cloud Storage, or Azure Blob Storage * Experience working with containerization tools like Docker or Kubernetes * Experience working with DevOps tools like Jenkins, GitLab, or CircleCI **Skills and Competencies:** * Strong understanding of data engineering principles and practices * Experience working with data modeling and data warehousing concepts * Strong analytical and problem-solving skills * Excellent communication and collaboration skills * Ability to work in a fast-paced environment and prioritize multiple tasks * Ability to think critically and make data-driven decisions * Strong attention to detail and ability to troubleshoot issues * Experience working with agile development methodologies and version control systems **Career Growth Opportunities and Learning Benefits:** * arenaflex offers a comprehensive training program to help you develop your skills and advance your career * Opportunities to work on high-impact projects and contribute to the growth and success of the company * Collaborative and dynamic work environment with a diverse team of professionals * Access to cutting-edge technologies and tools * Opportunities for professional development and growth **Work Environment and Company Culture:** * arenaflex is a technology and strategy company that values innovation, collaboration, and customer satisfaction * Our company culture is built on a foundation of trust, respect, and open communication * We offer a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off * We prioritize diversity, equity, and inclusion and strive to create a workplace that is welcoming and inclusive for all employees * We offer flexible work arrangements and a remote work policy to support work-life balance **Compensation, Perks, and Benefits:** * Competitive salary range: $120,000 - $180,000 per year * Comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off * Opportunities for professional development and growth * Flexible work arrangements and a remote work policy * Access to cutting-edge technologies and tools * Collaborative and dynamic work environment with a diverse team of professionals **How to Apply:** If you're passionate about data engineering and have a strong background in programming languages like Python/Java, experience working with ETL tools and cloud platforms, and a desire to work in a fast-paced and dynamic environment, we want to hear from you! Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. Apply for this job