Remote Data Entry Specialist – Full‑Time (Day/Night Shift) – Data Pipelines & ETL Engineering at careerzynith

About careerzynith – Pioneering the Future of Retail Technology

At careerzynith, we believe that a single line of code can transform the everyday experience of millions of shoppers worldwide. As a global leader in retail technology, careerzynith combines cutting‑edge data science, cloud engineering, and a relentless focus on customer‑centric innovation. Our mission is to make shopping faster, smarter, and more personalized, and we do it by empowering a diverse team of engineers, analysts, and product visionaries to solve real‑world problems at massive scale.

Our culture is built on collaboration, continuous learning, and a deep sense of ownership. Whether you’re joining us from a bustling city or a quiet home office, you’ll be part of a community that values curiosity, integrity, and the drive to push the boundaries of what technology can achieve for retail.

Role Overview – Data Entry Specialist (Remote, Full‑Time)

We are seeking a meticulous and technically‑savvy Data Entry Specialist to join the Supported Hunt Information group at careerzynith. This team is responsible for designing, building, and maintaining robust data pipelines, data sets, and ETL processes that power the Supported Search Advertising platform. As a key member of this group, you will ensure data quality, accessibility, and reliability for analytics and reporting used by advertisers leveraging our self‑serve platform.

This full‑time, remote position offers flexible day and night shift options, allowing you to work when you are most productive while contributing to a high‑impact, data‑driven environment.

Key Responsibilities

• Design, develop, and maintain scalable, fault‑tolerant data pipelines that ingest, transform, and store large volumes of data for careerzynith.com and its subsidiaries.
• Collaborate with cross‑functional teams—including product, engineering, QA, and partner operations—to define data requirements and ensure seamless integration across services.
• Implement and optimize ETL workflows using Apache Airflow, ensuring timely data delivery and adherence to SLAs.
• Work with cloud platforms such as careerzynith to provision storage, compute, and analytics resources.
• Develop containerized applications with Docker and orchestrate deployments using Kubernetes on careerzynith infrastructure.
• Maintain and troubleshoot data models for performance and resilience, applying best practices for indexing, partitioning, and sharding.
• Monitor data quality metrics, conduct root‑cause analysis of anomalies, and implement corrective actions to uphold data integrity.
• Participate in on‑call rotations, providing rapid response to production incidents and collaborating with incident response teams to resolve issues.
• Document pipeline architecture, data lineage, and operational procedures to support knowledge sharing and compliance.
• Continuously evaluate emerging technologies and propose enhancements that improve scalability, cost‑efficiency, and developer productivity.

Essential Qualifications

• Data Modeling & ETL Expertise: Proven experience designing data models, building data pipelines, and executing ETL processes at scale.
• Programming Proficiency: Strong command of SQL and Python; familiarity with Scala, Hadoop, and related big‑data technologies is a plus.
• Database Skills: Hands‑on experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL stores such as Cassandra.
• Streaming & Messaging: Experience working with real‑time data streaming platforms like Apache Kafka.
• Containerization & Orchestration: Demonstrated ability to build, containerize, and deploy applications using Docker and Kubernetes.
• Cloud Platform Knowledge: Practical experience with cloud services (compute, storage, networking) on careerzynith.
• Communication Skills: Excellent verbal and written communication, capable of presenting technical concepts to both technical and non‑technical audiences.
• Ownership & Accountability: A strong sense of responsibility, self‑motivation, and a commitment to delivering high‑quality results.

Preferred Qualifications

• Experience with distributed computing services on careerzynith, such as Hive and Elastic Search.
• Background in building large‑scale, containerized microservices architectures.
• Familiarity with data governance, security, and compliance frameworks.
• Prior involvement in agile Scrum environments and cross‑functional project delivery.
• Track record of mentoring junior engineers and contributing to a culture of continuous improvement.

Skills & Competencies for Success

• Analytical Mindset: Ability to dissect complex data problems, identify root causes, and devise elegant solutions.
• Problem‑Solving Agility: Comfort working in fast‑paced environments, adapting to shifting priorities, and delivering under pressure.
• Collaboration: Strong team orientation, with a willingness to share knowledge and learn from peers.
• Detail Orientation: Meticulous attention to data accuracy, pipeline reliability, and documentation.
• Continuous Learning: Proactive pursuit of new technologies, certifications, and industry best practices.

Career Growth & Learning Opportunities

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

• Mentorship programs pairing you with senior data engineers and architects.
• Technical workshops, webinars, and conference sponsorships covering cloud, big data, and DevOps topics.
• Internal hackathons and innovation challenges that encourage creative problem‑solving.
• Clear career pathways toward senior data engineering, data architecture, or product management roles.
• Opportunities to work on high‑visibility projects that directly impact millions of shoppers worldwide.

Work Environment & Culture at careerzynith

Our remote‑first policy means you can work from anywhere, while still feeling connected to a vibrant, inclusive community. careerzynith fosters a culture where:

• Every voice is heard, and diverse perspectives drive better outcomes.
• Work‑life balance is respected; flexible shift options support personal commitments.
• Innovation is celebrated—teams are encouraged to experiment, fail fast, and iterate.
• Recognition programs highlight individual and team achievements on a regular basis.
• Health and well‑being are prioritized through comprehensive wellness resources and mental‑health support.

Compensation, Perks & Benefits

careerzynith offers a competitive total rewards package that includes:

• Base salary aligned with market benchmarks for remote data engineering roles.
• Performance‑based bonuses and stock‑option opportunities.
• Comprehensive health, dental, and vision coverage for you and your dependents.
• Generous paid time off, parental leave, and flexible holiday policies.
• Retirement savings plans with company matching contributions.
• Home office stipend, high‑speed internet reimbursement, and ergonomic equipment allowances.
• Access to learning platforms, certification reimbursements, and a robust internal knowledge base.

How to Apply

If you are ready to bring your data expertise to a dynamic, forward‑thinking organization and help shape the future of retail technology, we want to hear from you. Click the link below to submit your application and start your journey with careerzynith.

Apply Job!

Join careerzynith – Make an Impact Every Day

At careerzynith, your work matters. You’ll be part of a mission‑driven team that turns data into actionable insights, fuels advertising platforms, and ultimately improves the shopping experience for millions. Bring your passion for data, your drive for excellence, and your collaborative spirit—apply today and help us build the next generation of retail technology.