Senior Data Engineer – Remote Data Architecture, ETL Pipeline Development & Cloud Analytics Leadership at arenaflex

About arenaflex

arenaflex is a forward‑thinking leader in the health‑care data ecosystem, delivering innovative solutions that empower providers, insurers, and patients to make smarter, data‑driven decisions. With a heritage of over two decades in the industry, arenaflex combines deep domain expertise with cutting‑edge technology to transform raw information into actionable insights. Our mission is to create a healthier world by unlocking the power of data, and we do so by fostering a culture of curiosity, collaboration, and continuous improvement.

Why This Role Matters

As a Senior Data Engineer at arenaflex, you will be at the heart of our data strategy, designing and building the pipelines that move massive volumes of health‑care information from source to insight. Your work will directly influence the quality of analytics, the speed of decision‑making, and ultimately the outcomes for millions of individuals who rely on our services. This is a unique opportunity to shape the future of health‑care data while working from the comfort of your home.

Role Overview

This full‑time, remote position is based in Chelmsford, USA, but offers the flexibility of a work‑from‑home arrangement. You will lead the end‑to‑end development of data architectures, ETL processes, and cloud‑based pipelines that support a variety of business units across arenaflex. You will partner with data scientists, analysts, product owners, and engineering teams to ensure data is reliable, secure, and ready for advanced analytics.

Key Responsibilities

• Design, develop, and maintain large‑scale data pipelines that ingest, transform, and store data from diverse health‑care sources.
• Build robust ETL (Extract, Transform, Load) workflows using Python, SQL, and modern orchestration tools.
• Architect and manage data lake and warehouse solutions on cloud platforms (preferably GCP, with experience in AWS or Azure also valued).
• Collaborate with the Data Science team to operationalize machine‑learning models and analytical workloads.
• Implement data quality frameworks, ensuring compliance with industry standards for privacy, security, and governance.
• Optimize data storage and retrieval performance, leveraging technologies such as Hadoop, Hive, and PySpark.
• Evaluate emerging data technologies and recommend strategic investments to keep arenaflex at the forefront of innovation.
• Mentor junior engineers, fostering a culture of best practices, code review, and continuous learning.
• Document architecture decisions, pipeline designs, and operational procedures for cross‑functional teams.
• Participate in agile ceremonies, providing technical insight and estimating effort for upcoming initiatives.

Required Qualifications

• Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• Experience: Minimum 5 years of hands‑on experience in data engineering, with a proven track record of building production‑grade pipelines.
• Expertise in SQL and relational database design, with at least 5 years of experience writing complex queries.
• Proficiency in Python and its data‑processing libraries (e.g., pandas, SQLAlchemy, PySpark).
• Demonstrated experience with cloud platforms—Google Cloud Platform (preferred), Amazon Web Services, or Microsoft Azure.
• Strong communication skills, with the ability to translate technical concepts for non‑technical stakeholders.
• Excellent analytical thinking, problem‑solving, and critical‑reasoning abilities.

Preferred Qualifications

• Hands‑on experience with Hadoop ecosystem tools such as Hive, HDFS, and Spark.
• Familiarity with data visualization and reporting tools (e.g., Looker, Tableau, Power BI).
• Background in the health‑care industry, understanding of HIPAA, HL7, and other relevant data standards.
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines for data workloads.
• Knowledge of data governance frameworks and data cataloging solutions.

Core Skills & Competencies

• Technical Acumen: Ability to architect scalable, fault‑tolerant data solutions that meet high‑availability requirements.
• Collaboration: Proven ability to work across multidisciplinary teams, fostering partnership and shared ownership of outcomes.
• Innovation Mindset: Curiosity to explore new tools, frameworks, and methodologies that can improve data processing efficiency.
• Attention to Detail: Commitment to data integrity, security, and compliance throughout the pipeline lifecycle.
• Leadership: Capability to guide junior engineers, lead technical discussions, and influence architectural direction.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $50 per hour, reflecting the high level of expertise we seek. In addition to base compensation, you will enjoy a comprehensive benefits package that includes:

• Health, dental, and vision insurance with generous employer contributions.
• Retirement savings plan with company matching.
• Paid time off, holidays, and flexible scheduling to support work‑life balance.
• Professional development stipend for certifications, conferences, and online courses.
• Remote‑work allowance covering home office equipment and internet expenses.
• Employee assistance program and mental‑health resources.
• Opportunities to earn performance bonuses based on project impact.

Career Growth & Learning Opportunities

At arenaflex, your career trajectory is shaped by your ambition. As a senior engineer, you will have pathways to:

• Lead a data engineering squad, overseeing end‑to‑end delivery of critical data initiatives.
• Transition into a Data Architecture or Data Platform Manager role, influencing enterprise‑wide strategy.
• Specialize in emerging domains such as real‑time streaming analytics, AI/ML operationalization, or data governance.
• Participate in cross‑functional innovation labs that experiment with next‑generation health‑care technologies.

Work Environment & Culture at arenaflex

Our culture is built on transparency, respect, and a shared passion for improving health outcomes through data. Even though this role is remote, you will be fully integrated into a vibrant community:

• Regular virtual coffee chats, team‑building activities, and knowledge‑sharing sessions.
• Access to a collaborative digital workspace where ideas flow freely.
• Commitment to diversity, equity, and inclusion—ensuring every voice is heard and valued.
• Supportive leadership that encourages experimentation and celebrates successes.

Application Process

If you are ready to bring your data engineering expertise to a purpose‑driven organization, we invite you to apply today. Please submit your resume and a brief cover letter outlining your most relevant experience.

Apply Job!

Join arenaflex and Shape the Future of Health‑Care Data

At arenaflex, you will not just build pipelines—you will build the foundation for smarter health‑care decisions that touch lives across the globe. Your technical mastery, collaborative spirit, and drive for excellence will help us turn complex data challenges into clear, actionable insights. Take the next step in your career and become part of a team that is redefining what’s possible in health‑care analytics.