Experienced Staff Data Engineer for Data-Driven Solutions and Scalable Infrastructure Development at arenaflex – Remote Opportunity with Competitive Compensation

Introduction to arenaflex and the Industry arenaflex is at the forefront of innovation, leveraging data as the cornerstone of its success. The company's mission to empower local economies through technology and strategic decision-making has positioned it as a leader in its field. As a technology and logistics company, arenaflex has evolved from a food delivery platform to a comprehensive solution for all possible goods, underscoring its commitment to growth and customer satisfaction. The data engineering team at arenaflex plays a pivotal role in this journey, building data set solutions for various use cases, including reporting, product analysis, marketing optimization, and financial reporting. About the Job arenaflex is seeking a highly skilled Staff Data Engineer to join its team as a technical powerhouse. This role is crucial for scaling the company's data infrastructure, automation, and tools to meet the growing business needs. The ideal candidate will be based in a location that allows for hybrid or flexible work arrangements, with key engineering hubs in the United States. This position offers the opportunity to work with cross-functional teams, including engineering, product groups, and external partners, to gather required data and design, develop, and implement large-scale, high-volume, high-performance data models and pipelines for Data Lake and Data Warehouse. Key Responsibilities Collaborate with colleagues and stakeholders to understand data requirements and develop solutions that meet business objectives. Work closely with engineering, product teams, and external partners to collect necessary data for analysis and decision-making. Design, develop, and implement large-scale, high-volume, high-performance data models and pipelines for Data Lake and Data Warehouse, ensuring scalability and reliability. Build reusable architectures that improve the reliability and flexibility of ETLs (Extract, Transform, Load) processes. Manage a portfolio of data products that deliver high-grade, reliable data to stakeholders. Mentor and coach colleagues to enhance their design and implementation skills, fostering a culture of excellence and continuous learning. Essential Qualifications To be successful in this role, candidates should possess: A Bachelor's Degree in a relevant field, such as Computer Science, Information Technology, or Data Science. 3+ years of professional experience in data engineering, business intelligence, or a similar role, with a strong background in programming languages like Python or Java. 3+ years of experience with ETL tools and workflow management systems like Airflow, Flink, Oozie, and Azkaban, utilizing cloud platforms such as AWS or GCP. Expertise in Database fundamentals, SQL, and distributed computing, with experience in distributed data ecosystems (e.g., Hadoop, Hive, Druid, Voila) and streaming technologies like Kafka or Flink. Familiarity with reporting tools such as Tableau, Superset, and Looker, and experience working with Snowflake, Redshift, PostgreSQL, or other DBMS platforms. Excellent interpersonal skills, with the ability to work effectively with both technical and non-technical teams. A self-starter with strong organizational skills, capable of working in a fast-paced environment and prioritizing tasks to meet deadlines. Ability to think strategically, analyze complex data, and interpret market and consumer information to inform business decisions. Preferred Qualifications While not required, the following qualifications are highly desirable: Advanced degree in Computer Science, Data Science, or a related field. Experience with machine learning algorithms and data science tools. Knowledge of cloud-based data platforms and experience with migration projects. Certifications in data engineering, cloud computing, or related fields. Experience with agile development methodologies and version control systems like Git. Skills and Competencies The ideal candidate will possess a unique blend of technical, business, and interpersonal skills, including: Strong technical skills in data engineering, with the ability to design and implement scalable data architectures. Excellent problem-solving skills, with the ability to analyze complex data issues and develop creative solutions. Effective communication and interpersonal skills, with the ability to work collaboratively with cross-functional teams. Strategic thinking and the ability to align technical solutions with business objectives. Adaptability and flexibility, with the ability to thrive in a fast-paced environment and prioritize tasks to meet deadlines. Career Growth Opportunities and Learning Benefits At arenaflex, we are committed to the growth and development of our employees. This role offers opportunities for professional development, including: Training and certification programs in data engineering, cloud computing, and related fields. Mentorship and coaching from experienced professionals in the field. Opportunities to work on high-impact projects that drive business growth and innovation. Collaboration with cross-functional teams, including engineering, product, and data science. Access to cutting-edge technologies and tools, with the opportunity to develop expertise in emerging areas like machine learning and artificial intelligence. Work Environment and Company Culture arenaflex is dedicated to creating a work environment that is inclusive, supportive, and empowering. Our company culture is built on the values of: Collaboration and teamwork, with a focus on cross-functional collaboration and open communication. Innovation and creativity, with a willingness to experiment and take calculated risks. Customer obsession, with a focus on delivering exceptional customer experiences. Ownership and accountability, with a culture of personal responsibility and accountability. Diversity, equity, and inclusion, with a commitment to creating a workplace that is welcoming and inclusive to all employees. Compensation, Perks, and Benefits arenaflex offers a competitive compensation package, including: A base salary range that is commensurate with experience and qualifications. Opportunities for bonuses and stock options, with a focus on rewarding performance and contributions to the company's growth and success. A comprehensive benefits package, including health insurance, 401(k) matching, and paid time off. Access to cutting-edge technologies and tools, with opportunities for professional development and growth. A dynamic and supportive work environment, with a focus on collaboration, innovation, and customer satisfaction. Conclusion If you are a motivated and experienced data engineer looking for a challenging and rewarding role, we encourage you to apply for this opportunity at arenaflex. With its commitment to innovation, customer satisfaction, and employee growth, arenaflex offers a unique and exciting work environment that is perfect for professionals who are passionate about data engineering and want to make a real impact. Apply now and join our team of talented and dedicated professionals who are shaping the future of data-driven solutions. Apply! Apply for this job