Experienced Full Stack Data Engineer – Cloud-Based Data Solutions and Analytics

At arenaflex, we're on a mission to revolutionize the way we approach data engineering and analytics. As a key member of our North America Sort Focuses (NASC) SPEeD (Sortation Items Designing and Information) team, you'll play a crucial role in building adaptable solutions to address the increasing complexity of our operations. From containerization to heavy cargo, worldwide transportation, and Amazon Mechanical technology solutions, we're pushing the boundaries of what's possible in the world of data engineering.

About arenaflex

arenaflex is a leading innovator in the industry, consistently ranked as one of the top companies in the US for innovation and customer satisfaction. We're a team of passionate individuals who thrive in a fast-paced, high-energy environment where we strive to deliver value quickly and frequently. Our commitment to excellence is reflected in our cutting-edge technology, innovative solutions, and dedication to making a positive impact on the world.

Join Our Team

We're seeking an experienced full stack data engineer to join our SPEeD team, where you'll have the opportunity to work with a diverse range of teams and services across arenaflex. With guidance from senior product managers and designers, you'll have the chance to develop your skills and expertise, and contribute to the development of new services and experiences that drive convenience and increase efficiency.

Key Responsibilities

As a full stack data engineer at arenaflex, you'll be responsible for:

• Designing, developing, and deploying scalable data solutions using cloud-based technologies
• Collaborating with cross-functional teams to identify business requirements and develop data-driven solutions
• Building and maintaining ETL pipelines, data warehouses, and data lakes using various tools and technologies
• Developing and implementing data models, data visualizations, and reporting dashboards to support business decision-making
• Troubleshooting and resolving complex data-related issues in a fast-paced environment
• Staying up-to-date with industry trends, emerging technologies, and best practices in data engineering and analytics

Essential Qualifications

To be successful in this role, you'll need:

• A bachelor's degree in Computer Science, Engineering, or a related field
• At least 3 years of experience in data engineering, with a focus on cloud-based technologies
• Strong experience with data modeling, warehousing, and building ETL pipelines
• Proficiency in programming languages such as Java, Python, or Scala
• Experience with data visualization tools such as Tableau, Power BI, or D3.js
• Strong problem-solving skills, with the ability to troubleshoot and resolve complex data-related issues

Preferred Qualifications

While not required, the following qualifications would be a plus:

• Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases, including object storage, report or key-value stores, graph databases, and column-family databases
• Knowledge of machine learning algorithms and their application in data engineering
• Experience with containerization using Docker or Kubernetes
• Strong understanding of data governance, data quality, and data security best practices

arenaflex Culture

At arenaflex, we're committed to creating a diverse and inclusive work environment that values and respects the contributions of all employees. We're an equal opportunity employer and welcome applications from individuals of all backgrounds, experiences, and perspectives.

Compensation and Benefits

arenaflex offers a competitive compensation package that reflects the cost of living in various US geographic markets. The base salary for this position ranges from $35,000 to $40,000 per year, depending on the location and other factors. In addition to a comprehensive benefits package, you'll have access to a range of perks and programs designed to support your career growth and well-being.

How to Apply

If you're passionate about data engineering and analytics, and you're looking for a challenging and rewarding career opportunity, we encourage you to apply. Please submit your application, including your resume, cover letter, and any relevant documentation, through our online portal. Apply Now

What to Expect

As a candidate, you can expect a comprehensive and inclusive hiring process that includes:

• A thorough review of your application and qualifications
• A phone or video interview with a member of our hiring team
• A technical interview with a member of our engineering team
• A final interview with a member of our leadership team

We're excited to hear from you and look forward to the opportunity to discuss this role further. Apply for this job