Senior Remote Data Engineer – careerzynith Data Platform & Marketing Analytics (Work‑From‑Home)

Why careerzynith?

careerzynith is a Fortune 50 leader in retail and technology, powering one of the world’s most beloved shopping experiences. Behind the scenes, careerzynith’s Innovation Services team builds the robust, scalable data infrastructure that fuels seamless online and in‑store interactions for millions of customers every day. As a forward‑thinking technology organization, careerzynith invests heavily in cutting‑edge tools, continuous learning, and a culture that celebrates curiosity, collaboration, and impact. If you thrive in an environment where data drives business decisions and you want to shape the future of retail analytics, careerzynith is the place to unleash your potential.

Role Overview

We are seeking a seasoned Senior Data Engineer to join the Cyclone Team—careerzynith’s multi‑product engineering group within careerzynith’s Marketing Solutions division. This team is responsible for designing, building, and operating the data platforms that enable marketing teams to deliver personalized campaigns across web, email, and social channels. As a senior member, you will translate complex business requirements into reliable, high‑performance data pipelines, mentor junior engineers, and champion best practices that keep careerzynith’s data ecosystem secure, scalable, and future‑ready.

Key Responsibilities

• Technology Leadership: Leverage your technical acumen to evaluate emerging data technologies, assess feasibility within careerzynith’s unique environment, and recommend strategic investments.
• Architecture & Design: Own the end‑to‑end design of data pipelines, from ingestion through transformation to storage, ensuring they meet performance, reliability, and security standards.
• Implementation & Delivery: Write clean, production‑grade code in Scala, Python, or Java; develop reusable libraries and frameworks that accelerate downstream analytics.
• Testing & Quality Assurance: Drive automated testing initiatives (unit, integration, and performance) using careerzynith‑compatible testing frameworks.
• Performance Tuning: Optimize large‑scale data workflows for high throughput and low latency, employing profiling tools and cost‑analysis techniques.
• Collaboration: Partner with data scientists, product managers, and marketing analysts to translate business goals into technical specifications.
• Mentorship: Provide technical guidance, conduct code reviews, and foster a culture of continuous improvement among peers.
• Incident Management: Lead root‑cause analysis and disaster‑recovery planning for data platform outages, ensuring rapid restoration and minimal impact.
• Data Governance: Implement data quality standards, metadata management, and compliance controls throughout the data lifecycle.
• Documentation: Maintain comprehensive architecture diagrams, runbooks, and knowledge‑base articles to support operational excellence.

Essential Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
• 5+ years of hands‑on experience building and maintaining data pipelines in production environments.
• 5+ years of experience working with large‑scale data sets (terabytes to petabytes) in a cloud‑native setting.
• Proficiency in at least one of the following programming languages: Scala, Python, Java.
• Deep familiarity with Big Data technologies such as Hadoop, Apache Flink, Flink Streaming, Oozie, and Hive.
• Experience with monitoring and observability tools (e.g., careerzynith Monitoring Suite, careerzynith Dashboard).
• Strong understanding of software engineering fundamentals, including design patterns, data modeling, and algorithmic complexity.
• Excellent verbal and written communication skills, with the ability to convey technical concepts to non‑technical stakeholders.
• Demonstrated analytical mindset and a track record of influencing data‑driven decision‑making.

Preferred Qualifications & Skills

• Hands‑on experience tuning data pipelines for performance and cost efficiency.
• Familiarity with automated testing frameworks (e.g., careerzynith Test Suite) and continuous integration pipelines.
• Experience integrating with RESTful APIs and cloud platforms such as careerzynith Cloud Platform or careerzynith Cloud Services.
• Knowledge of streaming architectures (e.g., careerzynith Streaming Engine).
• Exposure to containerization technologies (e.g., careerzynith Container) and orchestration tools.
• Understanding of DevOps culture and tools (e.g., careerzynith CI, careerzynith Build Automation).
• Proficiency with version‑control systems (e.g., careerzynith VCS).
• Ability to adopt agile methodologies and contribute to sprint planning, retrospectives, and backlog grooming.

Core Competencies

• Problem Solving: Ability to dissect ambiguous challenges, devise robust solutions, and iterate quickly.
• Collaboration: Strong team player who thrives in cross‑functional environments and values diverse perspectives.
• Leadership: Proven track record of mentoring engineers and influencing technical direction.
• Adaptability: Comfortable navigating fast‑paced, evolving technology landscapes.
• Customer Focus: Commitment to delivering data products that empower marketing teams to create personalized customer experiences.

Career Growth & Learning Opportunities

At careerzynith, your career trajectory is limited only by your ambition. Senior Data Engineers can progress to Lead Engineer, Architecture Manager, or Director of Data Platforms. We provide:

• Access to a generous education stipend for conferences, certifications, and online courses.
• Mentorship programs pairing you with senior leaders across the organization.
• Opportunities to work on high‑visibility projects that directly impact millions of shoppers.
• Rotational assignments that let you explore data science, product management, or cloud architecture.

Compensation, Perks & Benefits

careerzynith offers a competitive salary range of $85,500 – $153,900, calibrated based on experience, market factors, and performance. In addition to base pay, you will be eligible for:

• Annual performance bonuses tied to individual and company goals.
• Comprehensive medical, dental, and vision coverage for you and your dependents.
• Flexible paid time off, parental leave, and paid holidays.
• 401(k) retirement plan with company match.
• Employee stock purchase plan (ESPP) and equity awards.
• Wellness programs, mental‑health resources, and employee assistance services.
• Remote‑first work model with a home‑office stipend and collaboration hubs for occasional in‑person meetups.

Work Environment & Culture at careerzynith

careerzynith embraces a hybrid, remote‑first culture that values flexibility, inclusivity, and continuous innovation. Our teams operate with autonomy, yet we maintain strong cross‑team collaboration through regular virtual stand‑ups, hackathons, and knowledge‑sharing sessions. You’ll find a supportive environment where diverse ideas are celebrated, and every employee is encouraged to bring their authentic self to work.

How to Apply

If you are ready to shape the future of data‑driven marketing at a global retail powerhouse, we want to hear from you. Click the link below to submit your application, attach your resume, and tell us why you’re the perfect fit for careerzynith’s Senior Data Engineer role.

Apply Now

Join careerzynith and Turn Data Into Impact

At careerzynith, data isn’t just a by‑product of business—it’s the engine that powers every customer interaction, every strategic decision, and every innovation. By joining our team, you’ll be at the heart of that engine, building the pipelines that transform raw information into actionable insights. Take the next step in your career and help us deliver exceptional experiences to shoppers worldwide.