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About arenaflex
At arenaflex, we believe that data is the cornerstone of modern business innovation. As a leading organization in the healthcare and retail industry, we are committed to leveraging cutting-edge technology to deliver exceptional outcomes for our customers and communities. Our mission is to transform raw data into actionable insights that drive meaningful change, and we're looking for a talented Data Engineer to join our growing team.
When you become part of the arenaflex family, you join a organization that values innovation, collaboration, and continuous learning. We pride ourselves on fostering an inclusive environment where diverse perspectives are celebrated, and every team member has the opportunity to make a significant impact. Our commitment to excellence extends beyond our products and services to how we treat our people—who are our most valuable asset.
Job Overview
Are you passionate about building robust data infrastructure that powers critical business decisions? Do you thrive in environments where you can collaborate with talented data scientists and analysts to create innovative solutions? If so, we have an exciting opportunity for you as a Data Engineer at arenaflex.
This is a full-time remote position based in Indiana, USA, where you will be responsible for assembling and maintaining large-scale data pipelines that support advanced analytics and data science initiatives. You will play a pivotal role in identifying and integrating significant internal and external data sources, working closely with our data science team to design, develop, and deploy solutions that meet evolving business needs.
Key Responsibilities
As a Data Engineer at arenaflex, you will be at the forefront of our data infrastructure initiatives. Your primary responsibilities will include:
- Pipeline Development: Assemble and maintain large data pipelines that support investigation and data science solutions, ensuring high availability, scalability, and performance.
- Data Identification: Identify significant internal and external data sources that can enhance business intelligence and drive strategic decision-making across the organization.
- Cross-Functional Collaboration: Work closely with data scientists to define data requirements for the design, development, and deployment of new solutions that support business needs.
- Software Development: Develop programming solutions that process, store, and serve data for use by internal teams and external stakeholders.
- Data Modeling: Create data models and pipelines to integrate, collect, and normalize data that produces actionable insights and meets reporting requirements.
- ETL Development: Write Extract/Transform/Load (ETL) processes, design database systems, and develop tools for both real-time and batch analytical processing.
- Pipeline Architecture: Develop flexible, repeatable, and secure data pipelines that can scale with business growth and evolving requirements.
- Quality Assurance: Analyze programming and processes for data consistency and integrity, implementing best practices to maintain data quality.
- Source Integration: Integrate data from multiple sources, ensuring adherence to data quality and accessibility standards.
- Issue Resolution: Troubleshoot and resolve issues and roadblocks as they occur, minimizing downtime and maintaining system reliability.
- Stakeholder Communication: Interface with internal and external partners to exchange semi-complex information related to assigned activities and projects.
Required Qualifications
To succeed in this role, you will need to meet the following minimum requirements:
- Education: Bachelor's degree in a technical discipline (Computer Science, Information Technology, Engineering, or related field) with a minimum of 2 years of experience in data engineering; OR a Master's degree in a technical discipline.
- Database Expertise: Advanced knowledge of SQL, including complex query optimization, stored procedures, 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 service standards.
- Data Analysis: Experience analyzing and reporting data to identify issues, trends, or exceptions that drive improvement of results and find effective solutions.
- Travel: Ability to travel up to 10% of the time for business purposes (both within state and out of state).
Preferred Qualifications
While not required, the following qualifications will give you a competitive edge:
- Master's degree or higher in a technical discipline such as Computer Science, Data Science, or Information Systems.
- Experience with REST API development and integration.
- Experience with Azure application deployment and cloud infrastructure management.
- Proficiency in Azure technologies, including:
- Azure Data Factory for data integration and orchestration
- Azure Databricks using Python or Scala for advanced analytics
- Azure Application Services for hosting and managing applications
- Azure Data Lake for scalable data storage
- Azure Functions for serverless computing
- Event Hubs and Event Grid for real-time data streaming
- Logic Apps for workflow automation
- Experience building Azure DevOps pipelines to enable CI/CD, Infrastructure as Code (IaC), and automation.
- Knowledge of big data technologies and distributed computing frameworks.
- Experience with data warehousing solutions and dimensional modeling.
Essential Skills & Competencies
Success as a Data Engineer at arenaflex requires a unique blend of technical expertise and interpersonal skills:
- Technical Proficiency: Strong coding skills in Python, Scala, or similar programming languages with experience in data processing frameworks.
- Problem-Solving: Analytical mindset with the ability to troubleshoot complex data issues and implement effective solutions.
- Communication: Excellent verbal and written communication skills to articulate technical concepts to both technical and non-technical stakeholders.
- Teamwork: Ability to collaborate effectively with cross-functional teams, including data scientists, analysts, and business stakeholders.
- Adaptability: Willingness to learn new technologies and adapt to evolving business requirements in a fast-paced environment.
- Attention to Detail: Strong focus on data quality and accuracy to ensure reliable analytical outputs.
- Time Management: Ability to manage multiple projects and priorities while meeting tight deadlines.
Career Growth & Learning Opportunities
At arenaflex, we are invested in the professional development of our team members. As a Data Engineer, you will have access to:
- Career Advancement: Clear pathways for career progression into senior technical roles, lead positions, or specialized areas such as Machine Learning Engineering or Data Architecture.
- Continuous Learning: Access to online learning platforms, certification programs, and technical training to stay current with emerging technologies.
- Mentorship: Guidance from experienced professionals and opportunities to mentor junior team members.
- Industry Exposure: Exposure to cutting-edge Azure cloud technologies and big data frameworks that are in high demand across industries.
- Cross-Functional Experience: Opportunities to work on diverse projects across different business units, broadening your skill set and industry knowledge.
Work Environment & Culture
arenaflex offers a dynamic and supportive work environment that values work-life balance and employee well-being:
- Remote Work: Enjoy the flexibility of working from home with the necessary tools and technology provided to ensure productivity.
- Inclusive Culture: Be part of a diverse team that values different perspectives and fosters an environment of respect and collaboration.
- Innovation Focus: Encourage creativity and innovation, with opportunities to propose and implement new ideas.
- Team Connectivity: Regular virtual team meetings, social events, and cross-functional collaborations to maintain strong team bonds.
- Modern Tools: Work with state-of-the-art technologies and development tools in a cloud-first environment.
Compensation & Benefits
arenaflex is committed to providing competitive compensation and comprehensive benefits:
- Competitive Salary: Monthly salary range of $5,000 - $6,000, commensurate with experience and qualifications.
- Health & Wellness: Comprehensive health insurance coverage including medical, dental, and vision plans.
- Retirement Plans: 401(k) retirement savings plan with company matching contributions.
- Paid Time Off: Generous paid vacation, sick leave, and holidays to support work-life balance.
- Professional Development: Financial support for certifications, training programs, and conference attendance.
- Employee Assistance: Access to resources and support services for personal and professional challenges.
- Performance Bonuses: Opportunity to earn performance-based bonuses and incentives.
Join Our Team
Are you ready to take the next step in your career and make a meaningful impact? At arenaflex, you'll have the opportunity to work on challenging projects, grow your skills, and be part of a team that truly values innovation and excellence.
We are looking for a motivated and talented Data Engineer who is passionate about data and eager to contribute to our mission of delivering data-driven solutions that transform business outcomes. If you have the required skills and are ready to join a dynamic team, we encourage you to apply today.
Don't miss this opportunity to advance your career with arenaflex—a company that invests in its people and embraces the future of data engineering. Apply now and become part of something great!