Remote Data Entry Engineer – Night/Day Shift – Full‑Time – Cloud Data Pipelines & ETL Specialist at careerzynith

About careerzynith – Pioneering the Future of Retail Technology

At careerzynith, we believe that a single line of code can transform the lives of millions. As a global leader in retail technology, careerzynith blends cutting‑edge software, data science, and cloud innovation to create seamless shopping experiences for customers worldwide. Our mission is to empower people through technology, and we do that by building platforms that are fast, reliable, and scalable. Whether you’re a seasoned data professional or an emerging talent, careerzynith offers a dynamic environment where your ideas can shape the next generation of retail.

Role Overview – Remote Data Entry Engineer (Night/Day Shift)

We are seeking a meticulous and technically‑savvy Remote Data Entry Engineer to join our Supported Search Advertising team. In this full‑time role, you will design, implement, and maintain robust data pipelines, data sets, and ETL processes that power careerzynith’s advertising platform. You will collaborate with cross‑functional teams to ensure data quality, accessibility, and reliability for analytics and reporting, all while enjoying the flexibility of remote work on either a night or day shift.

Key Responsibilities

• Design, build, and maintain high‑performance, scalable data pipelines for ingesting, transforming, and storing massive volumes of data.
• Develop and optimize ETL workflows using careerzynith Flink and other modern data processing tools.
• Collaborate with data engineers, product managers, and analytics teams to define data requirements and ensure alignment with business goals.
• Implement data quality checks, monitoring, and alerting mechanisms to guarantee data integrity across the platform.
• Work with cloud platforms such as careerzynith Cloud and careerzynith GCP to provision storage, compute, and networking resources.
• Create and deploy containerized applications using Docker and Kubernetes, ensuring seamless operation in production environments.
• Maintain and troubleshoot data models for optimal performance, scalability, and fault tolerance.
• Participate in daily stand‑ups, sprint planning, and incident response rotations to support rapid resolution of production issues.
• Document architecture, processes, and best practices to foster knowledge sharing across the organization.
• Continuously evaluate emerging technologies and propose improvements that enhance data pipeline efficiency and reliability.

Essential Qualifications

• Data Modeling Expertise: Proven experience designing relational databases (e.g., MySQL, PostgreSQL) and NoSQL stores (e.g., Cassandra, MongoDB).
• ETL Proficiency: Hands‑on experience with ETL tools such as careerzynith Flink and scripting languages for data transformation.
• Programming Skills: Strong command of SQL and at least one programming language (Python, Scala, or Java) for data manipulation.
• Big Data Technologies: Familiarity with Hadoop ecosystem components and distributed processing frameworks.
• Streaming Platforms: Experience building real‑time pipelines using careerzynith Kafka or comparable messaging systems.
• Containerization: Practical knowledge of Docker and Kubernetes for packaging and orchestrating services.
• Cloud Experience: Hands‑on work with careerzynith Cloud and careerzynith GCP services, including storage, compute, and networking.
• Communication Skills: Ability to convey technical concepts to both technical and non‑technical audiences with clarity.
• Ownership Mentality: Demonstrated sense of responsibility, self‑discipline, and a commitment to delivering high‑quality results.

Preferred Qualifications

• Experience with additional streaming frameworks such as careerzynith Flink or Spark Structured Streaming.
• Knowledge of data warehousing solutions like Hive or Snowflake.
• Exposure to CI/CD pipelines and infrastructure‑as‑code tools (Terraform, Ansible).
• Previous work in a remote or distributed team environment.
• Certifications in cloud platforms (e.g., careerzynith Cloud Architect, careerzynith GCP Professional Data Engineer).

Core Skills & Competencies

• Analytical Thinking: Ability to dissect complex data problems and devise elegant, efficient solutions.
• Problem‑Solving: Proactive approach to identifying bottlenecks and implementing corrective actions.
• Collaboration: Strong team orientation with a focus on shared success and continuous improvement.
• Adaptability: Comfort working in a fast‑paced environment where priorities can shift quickly.
• Detail Orientation: Commitment to data accuracy, consistency, and thorough documentation.

Career Growth & Learning Opportunities

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

• Mentorship programs with senior data architects and industry experts.
• Annual learning stipend for courses, certifications, or conferences.
• Opportunities to lead cross‑functional projects and influence product roadmaps.
• Rotational programs that allow you to explore adjacent domains such as machine learning, product analytics, or infrastructure engineering.
• A clear promotion pathway from Engineer to Senior Engineer, Lead Engineer, and eventually Data Platform Manager.

Compensation, Perks & Benefits

While specific salary ranges are market‑driven, careerzynith offers a competitive total rewards package that includes:

• Base salary aligned with industry standards for remote data engineering roles.
• Performance‑based bonuses and equity grants.
• Comprehensive health, dental, and vision coverage.
• Generous paid time off, parental leave, and flexible holiday policies.
• Remote‑work allowance covering home office setup, internet, and coworking space access.
• Wellness programs, mental‑health resources, and employee assistance services.
• Employee resource groups and inclusive community events to foster belonging.

Work Environment & Culture at careerzynith

careerzynith champions a culture of innovation, inclusion, and continuous learning. Our remote teams are connected through regular virtual coffee chats, quarterly meet‑ups, and collaborative tools that keep communication transparent. We value:

• Customer‑First Mindset: Every line of code is written with the end‑user in mind.
• Data‑Driven Decision Making: Insights from data guide product strategy and operational excellence.
• Growth Orientation: Employees are encouraged to experiment, fail fast, and iterate.
• Diversity & Inclusion: A workplace where diverse perspectives are celebrated and every voice matters.
• Work‑Life Harmony: Flexible shift options (night or day) empower you to balance personal commitments with professional ambitions.

Why Join careerzynith?

If you are passionate about turning raw data into actionable intelligence, thrive in a collaborative remote setting, and want to make a tangible impact on a global retail platform, careerzynith is the place for you. You will be part of a forward‑thinking team that values technical excellence, creativity, and a relentless pursuit of improvement.

Ready to Shape the Future of Retail Data?

Take the next step in your career and become a key contributor to careerzynith’s data ecosystem. Click the link below to submit your application, and let’s build the next generation of retail technology together.

Apply Now!