Remote Data Engineer – Scalable Data Pipelines & Advanced Analytics (Remote – Full‑Time) – careerpulse

About careerpulse – Pioneering the Future of Health‑Centric Retail

careerpulse is a global leader at the intersection of retail, pharmacy, and digital health services. With a legacy spanning more than a century, careerpulse operates thousands of storefronts across the United States, Puerto Rico, and the U.S. Virgin Islands, serving millions of customers each day. Our mission is simple yet powerful: to improve lives by delivering better health. To achieve this, we blend physical locations with cutting‑edge omnichannel experiences, leveraging data‑driven insights to personalize care, streamline operations, and create value for every stakeholder.

As part of our relentless pursuit of innovation, careerpulse is expanding its remote workforce to include top‑tier data professionals who can design, build, and maintain the massive information pipelines that power our analytics ecosystem. If you thrive in a fast‑moving, collaborative environment and love turning raw data into actionable intelligence, this is the opportunity you’ve been waiting for.

Why This Role Is a Game‑Changer

Our Remote Data Engineer position is more than a job—it’s a strategic partnership. You will be at the heart of careerpulse’s data transformation journey, shaping the architecture that fuels real‑time decision‑making, predictive modeling, and enterprise‑wide reporting. The role offers an immediate start, a competitive hourly rate of $30‑$40, and the flexibility to work from anywhere in the United States while occasionally traveling (up to 10% of the time) for critical on‑site collaborations.

Key Responsibilities – What You’ll Own

• Design & Build Scalable Pipelines: Architect, develop, and maintain robust ETL/ELT workflows that ingest, cleanse, transform, and load data from diverse sources into our cloud‑native data lake.
• Data Modeling & Storage: Create logical and physical data models, design relational and NoSQL databases, and implement best‑practice schema designs to support both transactional and analytical workloads.
• Real‑Time & Batch Processing: Develop streaming solutions using Azure Event Hubs, Azure Databricks, and Azure Functions to enable low‑latency analytics alongside traditional batch pipelines.
• Automation & CI/CD: Build Azure DevOps pipelines that automate testing, deployment, and infrastructure provisioning (IaC) to ensure rapid, reliable releases.
• Collaboration with Data Scientists & Business Stakeholders: Partner closely with data scientists, product owners, and business analysts to translate analytical requirements into technical specifications.
• Performance Tuning & Optimization: Monitor pipeline health, troubleshoot bottlenecks, and implement performance enhancements to meet SLA targets.
• Security & Governance: Enforce data security policies, implement role‑based access controls, and ensure compliance with industry regulations (HIPAA, GDPR, etc.).
• Documentation & Knowledge Sharing: Produce clear technical documentation, conduct code reviews, and mentor junior engineers to foster a culture of continuous learning.
• Problem Solving & Incident Management: Rapidly diagnose and resolve data inconsistencies, pipeline failures, and production incidents, minimizing downtime.

Essential Qualifications – What You Must Bring

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical discipline (or equivalent practical experience).
• Minimum of 2 years of hands‑on experience in data engineering, preferably within a large‑scale, matrixed organization.
• Advanced proficiency in SQL, including complex query design, performance tuning, and stored procedure development.
• Demonstrated experience building and maintaining data pipelines using Azure Data Factory, Azure Databricks (Python or Scala), and related Azure services.
• Strong understanding of RESTful API design and integration.
• Proven ability to work cross‑functionally with internal partners, external vendors, and leadership teams to align technical solutions with business objectives.
• Excellent written and verbal communication skills, with a track record of presenting data‑driven insights to both technical and non‑technical audiences.
• Willingness to travel up to 10% of the time for on‑site meetings, workshops, or training sessions across the United States.

Preferred Qualifications – What Sets You Apart

• Master’s or graduate degree in a technical discipline (Data Science, Computer Engineering, etc.).
• Hands‑on experience with Azure services such as Azure Data Lake, Azure Functions, Event Hubs, Event Grid, Logic Apps, and App Services.
• Expertise in building CI/CD pipelines with Azure DevOps, including Infrastructure as Code (IaC) using ARM templates or Terraform.
• Familiarity with containerization technologies (Docker, Kubernetes) for scalable data workloads.
• Experience implementing data governance frameworks and ensuring compliance with healthcare data regulations.
• Knowledge of machine‑learning pipelines and ability to collaborate with data scientists on model deployment.

Core Skills & Competencies – The DNA of Success

• Analytical Mindset: Ability to dissect complex data problems, identify root causes, and propose elegant technical solutions.
• Problem‑Solving Agility: Comfortable navigating ambiguous requirements and delivering results under tight timelines.
• Collaboration & Influence: Strong interpersonal skills to build trust with peers, managers, and external partners.
• Continuous Learning: Passion for staying current with emerging data technologies, cloud platforms, and industry best practices.
• Attention to Detail: Meticulous approach to data quality, pipeline reliability, and documentation.
• Customer‑Centric Focus: Understanding how data solutions directly impact careerpulse’s customers and the broader community.

Career Growth & Learning Opportunities

careerpulse invests heavily in the professional development of its remote workforce. As a Remote Data Engineer, you will have access to:

• Annual tuition reimbursement for certifications (e.g., Azure Data Engineer Associate, AWS Certified Data Analytics).
• Mentorship programs pairing you with senior architects and data science leaders.
• Internal hackathons and innovation labs where you can prototype new data products.
• Cross‑functional rotation programs that expose you to product management, business analytics, and healthcare operations.
• Leadership pathways that can lead to roles such as Senior Data Engineer, Data Platform Lead, or Director of Data Engineering.

Work Environment & Culture at careerpulse

Our remote teams are woven into careerpulse’s inclusive, purpose‑driven culture. We champion:

• Diversity & Inclusion: A workforce that reflects the communities we serve, with employee resource groups and inclusive hiring practices.
• Flexibility & Work‑Life Balance: Remote‑first policies, flexible scheduling, and generous paid time off to support personal well‑being.
• Health & Wellness: Comprehensive medical, dental, vision, and mental‑health resources, plus a company‑paid life insurance plan.
• Community Impact: Opportunities to volunteer in local health initiatives and contribute to careerpulse’s mission of improving lives.
• Recognition & Rewards: Employee Stock Purchase Plan, performance‑based bonuses, and regular recognition programs.

Compensation, Perks & Benefits

careerpulse offers a competitive hourly wage of $30‑$40, commensurate with experience and skill level. In addition to base pay, you’ll receive a comprehensive benefits package that includes:

• Medical, prescription drug, dental, and vision coverage.
• Company‑paid life insurance and voluntary personal accident insurance.
• 401(k) retirement savings plan with employer match.
• Employee Stock Purchase Plan (ESPP) to share in careerpulse’s long‑term success.
• Paid Time Off (PTO), holidays, and paid parental leave.
• Transportation benefit plan for those occasional on‑site visits.
• Employee store discount for careerpulse retail locations.

Simple Application Process

Ready to make an impact? The first step is easy. Click the link below, submit your resume and a brief cover letter highlighting your most relevant data engineering achievements, and we’ll be in touch shortly.

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Join careerpulse – Transform Data into Better Health

If you are passionate about turning massive, complex data sets into clear, actionable insights that improve the health and well‑being of millions, careerpulse wants you on our team. Bring your expertise, curiosity, and collaborative spirit, and together we’ll build the data foundation that powers the next generation of health‑focused retail experiences.

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