About arenaflex

At arenaflex, we believe that data is the foundation of modern business innovation. As a leading healthcare and retail services organization, we're committed to transforming raw information into actionable insights that improve lives and drive organizational success. We are currently seeking a talented and motivated Data Engineer to join our growing technology team and help us build the data infrastructure of tomorrow.

This is an exciting opportunity for professionals who are passionate about data engineering, cloud technologies, and building scalable solutions that power critical business decisions. If you're looking for a role where you can grow your skills, work with cutting-edge technology, and make a meaningful impact, arenaflex is the place for you.

Position Overview

We are seeking an experienced Data Engineer to construct and maintain large-scale data pipelines that support advanced analysis and data science initiatives. In this role, you will identify valuable internal and external data sources and collaborate closely with data scientists to define data requirements for the design, development, and deployment of new solutions that meet evolving business needs.

As a Data Engineer at arenaflex, you will play a critical role in our technology infrastructure, ensuring that our data systems are robust, secure, and capable of handling complex analytical workloads. You'll have the opportunity to work with modern cloud technologies and contribute to initiatives that directly impact our business operations and customer experiences.

Key Responsibilities

As a key member of our data engineering team, you will be responsible for the following:

Data Pipeline Development: Create programming that processes, stores, and serves data for use by analysts, data scientists, and business stakeholders across the organization.

Data Modeling and Architecture: Design and develop data models and pipelines to integrate, collect, and normalize data that produces meaningful insights and addresses comprehensive reporting needs.

ETL Process Development: Write Extract/Transform/Load (ETL) processes, design database systems, and develop tools for both real-time and batch analytical processing.

Scalable Solutions: Develop data pipelines that are flexible, repeatable, and secure, ensuring high availability and performance under varying workloads.

Data Quality Assurance: Analyze programming and processes for data consistency and integrity, implementing best practices to maintain data accuracy and reliability.

Data Integration: Integrate data from multiple sources, ensuring adherence to data quality and accessibility standards throughout the organization.

Problem Resolution: Effectively troubleshoot issues and barriers as they occur, minimizing downtime and ensuring smooth data operations.

Collaboration: Engage with internal and external peers as well as supervisors to exchange complex information related to assigned activities and projects.

Essential Qualifications

To be considered for this position, candidates must meet the following requirements:

Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field; alternatively, a combination of education and equivalent work experience will be considered.

Experience: Minimum of 2 years of experience in data engineering, data architecture, or a related technical discipline. Candidates with an advanced degree in a technical discipline may be considered with less experience.

Technical Proficiency: Advanced knowledge of SQL, including complex query writing, optimization, and database design principles.

Relationship Building: Experience establishing and maintaining key relationships with internal stakeholders (peers, colleagues, and leadership) and external partners (business community, clients, and vendors) within a matrix organization to ensure quality standards for service delivery.

Data Analysis Skills: Experience analyzing and reporting data to identify issues, trends, or exceptions that drive improvement of results and lead to effective solutions.

Travel Availability: Willingness to travel up to 10% of the time for business purposes, including both in-state and out-of-state travel as required.

Preferred Qualifications

While not required, the following qualifications will give you a competitive edge:

Advanced Education: Master's degree or higher in Computer Science, Data Engineering, Information Systems, or a related technical discipline.

API Development: Experience with REST API development and integration.

Cloud Platform Expertise: Experience with Microsoft Azure application deployment and cloud-based solutions.

Azure Technologies: Hands-on experience with Azure technologies including:
- Azure Data Factory for data integration and ETL
- Azure Databricks using Python or Scala for big data analytics
- Azure Application Services
- Azure Data Lake for scalable storage
- Azure Functions for serverless computing
- Event Hubs and Event Grids for event-driven architectures
- Logic Apps for workflow automation

DevOps and Automation: Experience in building Azure DevOps pipelines to enable Continuous Integration/Continuous Deployment (CI/CD), Infrastructure as Code (IaC), and automation practices.

Skills and Competencies

Success in this role requires a combination of technical expertise and interpersonal skills:

Technical Acumen: Strong understanding of data engineering principles, database systems, and data pipeline architecture.

Problem-Solving: Ability to identify issues quickly and develop effective solutions with minimal guidance.

Communication: Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Collaboration: Strong teamwork skills with the ability to work effectively across functional teams.

Attention to Detail: Meticulous approach to data quality and system integrity.

Adaptability: Comfortable working in a fast-paced, dynamic environment with evolving requirements.

Career Growth and Development

At arenaflex, we are invested in the professional growth and development of our employees. As a Data Engineer joining our team, you'll have access to:

Technical Training: Opportunities to enhance your skills in cloud technologies, data engineering tools, and emerging technologies through structured training programs.

Career Advancement: A clear path for career progression within our technology organization, with opportunities to specialize in areas such as data architecture, data science, or cloud engineering.

Certification Support: Financial support and time off for pursuing relevant professional certifications in Azure, AWS, or other cloud platforms.

Mentorship: Access to experienced mentors who can guide your technical and professional development.

Industry Exposure: Experience working on diverse projects that span multiple business domains, providing broad exposure to different aspects of data engineering.

Work Environment and Culture

arenaflex fosters a collaborative, innovative, and inclusive work environment where every team member's contributions are valued. Our culture emphasizes:

Innovation: We encourage creative thinking and the exploration of new technologies and approaches to solve complex problems.

Work-Life Balance: We support flexible work arrangements that help you maintain a healthy balance between professional and personal commitments.

Teamwork: We believe that the best solutions come from diverse teams working together with mutual respect and shared goals.

Continuous Improvement: We are committed to ongoing improvement in our processes, technologies, and practices.

Inclusivity: We celebrate diversity and create an environment where all employees can thrive and contribute their unique perspectives.

Compensation and Benefits

We offer a competitive compensation package that reflects your skills, experience, and contributions:

Hourly Rate: $28 per hour, with opportunities for performance-based increases.

Comprehensive Benefits: Full-time employees are eligible for health, dental, and vision insurance, retirement plans, paid time off, and other valuable benefits.

Professional Development: Access to training resources, certification programs, and conference opportunities.

Employee Wellness: Wellness programs and resources to support your physical and mental well-being.

Location

This position is based in Indiana, USA. We offer flexible work arrangements, including the possibility of remote work for qualified candidates. Our team values collaboration while also supporting the flexibility that modern professionals need.

Join Our Team

Are you ready to take the next step in your data engineering career? Are you passionate about building robust data infrastructure that powers critical business decisions? If so, we invite you to apply for this exciting opportunity at arenaflex.

At arenaflex, you'll work alongside talented professionals, tackle challenging projects, and contribute to meaningful work that makes a real difference. We value innovation, collaboration, and excellence, and we're looking for someone who shares these values.

How to Apply:

If you're interested in this position and meet the qualifications, we encourage you to apply today. To be considered, please submit your resume and any relevant documentation through our application portal. Our hiring team will review applications and reach out to qualified candidates for further discussion.

arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applications from candidates of all backgrounds and experiences.

Note: This job description is intended to provide a general overview of the position and is not an exhaustive list of all responsibilities, duties, and skills required. The scope of the role may evolve based on business needs.

Apply now and become part of a team that's transforming the future of data engineering at arenaflex!

Experienced Data Engineer – Big Data Pipeline Development, ETL Architecture & Cloud-Based Solutions ($28/Hour)