Principal Data Analytics & Data Science Engineer – Remote (Work‑From‑Home) – Part‑Time – careerzynith – United States

About careerzynith – Pioneering Data‑Driven Innovation from Anywhere

careerzynith is a global leader in retail and e‑commerce, renowned for turning everyday shopping experiences into data‑rich journeys. With a commitment to sustainability, customer‑centricity, and cutting‑edge technology, careerzynith empowers its workforce to solve complex business challenges using the power of data. As part of our ongoing digital transformation, we are expanding our remote talent pool to include visionary engineers who can shape the future of data analytics and data science—no matter where they live. This role offers a unique blend of strategic influence, hands‑on technical leadership, and the flexibility of a part‑time, work‑from‑home arrangement, allowing you to balance professional growth with personal priorities.

Why This Role Matters – The Strategic Impact

In today’s fast‑moving market, data is the new competitive advantage. As the Principal Data Analytics & Data Science Engineer at careerzynith, you will own the end‑to‑end vision, design, and delivery of our data analytics platform. Your work will directly influence product assortment, pricing strategy, supply‑chain optimization, and personalized customer experiences across millions of transactions. By leading a high‑performing team of data engineers, analysts, and scientists, you will ensure that careerzynith remains at the forefront of industry trends while maintaining the highest standards of data quality, security, and scalability.

Key Responsibilities

• Leadership & Mentorship: Lead, coach, and inspire a distributed team of senior data professionals, fostering a culture of continuous learning, innovation, and technical excellence.
• Strategic Architecture: Define and enforce modern software engineering practices, including modular design, testability, observability, and robust CI/CD pipelines.
• Data Platform Engineering: Own the architecture of data pipelines, lakehouse structures, and analytics services using Azure ADLS, Azure Synapse, Azure Event Hub, Databricks, Delta Lake, and related technologies.
• Quality & Governance: Establish data quality standards, validation processes, and governance frameworks to guarantee data accuracy, consistency, and compliance.
• Analytics & Visualization: Drive the creation of advanced analytics models, machine‑learning pipelines, and interactive dashboards (Power BI, Tableau, etc.) that translate raw data into actionable insights.
• Collaboration & Stakeholder Management: Partner with product owners, business analysts, data scientists, and IT teams to translate business needs into scalable data solutions.
• Innovation & Trend‑Scanning: Stay abreast of emerging technologies (e.g., lakehouse patterns, real‑time streaming, AI/ML frameworks) and assess their relevance to careerzynith’s strategic roadmap.
• Performance Optimization: Monitor, troubleshoot, and fine‑tune data pipelines and analytics workloads to meet stringent SLAs for latency, throughput, and cost efficiency.
• Documentation & Knowledge Sharing: Produce clear technical documentation, design diagrams, and run‑books; lead lunch‑and‑learn sessions and technical forums across the organization.
• Project Delivery: Manage end‑to‑end delivery of data initiatives, from requirement gathering and design through implementation, testing, and production rollout.

Essential Qualifications

• 15+ years of hands‑on experience in data analytics, data engineering, or related fields, with a proven track record of delivering large‑scale data solutions.
• 5+ years in senior or lead roles, demonstrating the ability to guide and develop high‑performing technical teams.
• Deep expertise with cloud platforms—particularly Azure services such as ADLS, Azure Synapse, Azure Event Hub, Databricks, and Delta Lake.
• Advanced proficiency in SQL, Python, and/or R, with a strong grasp of relational and NoSQL databases (e.g., Cosmos DB, MongoDB).
• Extensive experience building and maintaining data pipelines, lakehouse architectures, and real‑time streaming solutions.
• Demonstrated ability to design and implement robust data quality, validation, and governance frameworks.
• Strong background in data visualization tools (Power BI, Tableau, Looker) and the ability to convey complex insights to non‑technical stakeholders.
• Proven project management skills, including planning, execution, risk mitigation, and delivery of data‑centric initiatives.
• Excellent problem‑solving, critical‑thinking, and communication skills, with a bias toward ownership and accountability.

Preferred Qualifications & Additional Assets

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related discipline.
• Professional certifications such as Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer.
• Experience in the retail, manufacturing, or e‑commerce sectors, especially with high‑volume transaction data.
• Familiarity with machine‑learning frameworks (TensorFlow, PyTorch, Scikit‑Learn) and MLOps practices.
• Knowledge of lakehouse design patterns that blend the best of data lakes and data warehouses.
• Track record of publishing technical articles, speaking at conferences, or contributing to open‑source projects.

Core Skills & Competencies

• Technical Leadership: Ability to set technical direction, enforce standards, and mentor engineers across the full stack of data technologies.
• Architectural Design: Expertise in designing scalable, secure, and maintainable data platforms that support both batch and real‑time workloads.
• Data Modeling: Proficiency in creating logical and physical data models, dimensional schemas, and data marts that serve analytical needs.
• Performance Tuning: Skill in optimizing query performance, reducing latency, and managing cost‑effective cloud resource utilization.
• Collaboration: Strong interpersonal skills to work effectively with cross‑functional teams, senior leadership, and external partners.
• Agile Mindset: Experience delivering value in iterative, sprint‑based environments while maintaining high quality.
• Security & Compliance: Understanding of data privacy regulations (GDPR, CCPA) and ability to embed security controls into data pipelines.

Career Growth & Learning Opportunities

careerzynith invests heavily in the professional development of its employees. As a Principal Engineer, you will have access to:

• Executive‑level mentorship programs and leadership coaching.
• Annual learning stipend for conferences, certifications, or advanced coursework.
• Opportunities to lead enterprise‑wide data initiatives that shape the strategic direction of the company.
• Cross‑functional rotation programs that broaden exposure to product, supply chain, and customer experience domains.
• Participation in internal innovation labs where you can prototype emerging technologies.

Work Environment & Culture at careerzynith

Our remote‑first culture is built on trust, flexibility, and results. careerzynith offers:

• Fully equipped home‑office stipend (ergonomic chair, monitor, accessories).
• Flexible scheduling to accommodate different time zones and personal commitments.
• Regular virtual team‑building events, hackathons, and knowledge‑sharing sessions.
• A collaborative, inclusive environment where diverse perspectives are celebrated.
• Clear pathways for advancement, from senior technical roles to executive leadership.

Compensation, Benefits & Perks

careerzynith provides a competitive total rewards package that includes:

• Base salary ranging from $160,000 to $230,000 (commensurate with experience).
• Performance‑based annual bonus and equity awards (stock units) for eligible employees.
• Comprehensive health coverage (medical, dental, vision, hearing, pharmacy).
• Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA).
• Retirement savings plan with company match (401(k) or equivalent).
• Paid time off, parental leave, and generous holiday schedule.
• Wellness programs, employee assistance services, and mental‑health resources.
• Professional development budget and tuition reimbursement.
• Remote‑work support, including high‑speed internet reimbursement and home‑office equipment.

How to Apply – Join careerzynith’s Data Revolution

If you are passionate about turning data into strategic advantage, thrive in a remote, part‑time setting, and are ready to lead a world‑class analytics team, we want to hear from you. Submit your resume and a concise cover letter outlining your most relevant achievements and why careerzynith is the right place for your next career chapter.

Apply Now and become a catalyst for data‑driven success at careerzynith!