Why careerzynith?
At careerzynith, we are redefining the future of retail through technology. Our mission is to make everyday shopping effortless for millions of customers worldwide, and we do that by building the most advanced data‑driven platforms in the industry. From the moment a shopper clicks “add to cart” to the final delivery at their doorstep, every interaction is powered by sophisticated data pipelines, real‑time analytics, and cloud‑native services. As a member of the careerzynith family, you will be part of a global community of engineers, data scientists, security experts, and product innovators who are passionate about turning data into meaningful experiences.
We believe that technology should empower people, not replace them. That philosophy drives our culture of collaboration, continuous learning, and relentless curiosity. Whether you are just starting your career or you are an experienced professional looking for the next big challenge, careerzynith offers a platform where your ideas can have a tangible impact on the lives of billions.
Position Overview
We are seeking a highly motivated Remote Data Entry Engineer to join our Supported Hunt Information group. This team is responsible for designing, building, and maintaining robust data pipelines, data sets, and ETL processes that power careerzynith’s Sponsored Search Advertising platform. In this role, you will work closely with cross‑functional teams to ensure data quality, accessibility, and reliability for analytics and reporting, enabling advertisers to reach their audiences effectively.
The position is full‑time and offers both night and day shift options, giving you the flexibility to work when you are most productive. As a remote employee, you will have access to careerzynith’s state‑of‑the‑art collaboration tools, continuous learning resources, and a supportive network of mentors and peers.
Key Responsibilities
- Design and maintain scalable data pipelines that ingest, transform, and store massive volumes of data from a variety of sources, supporting advertising campaigns on careerzynith.com and partner sites.
- Develop and optimize ETL workflows using Apache Airflow, ensuring high reliability and low latency for downstream analytics.
- Collaborate with data engineering, product, and analytics teams to define data models that enable efficient querying and reporting.
- Implement data quality checks, monitoring, and alerting mechanisms to proactively detect and resolve data anomalies.
- Work with cloud platforms such as Google Cloud Platform (GCP) and Microsoft Azure to provision storage, compute, and networking resources for data processing.
- Build, containerize, and deploy large‑scale applications using Docker and Kubernetes, ensuring seamless operation in production environments.
- Participate in on‑call rotations and incident response, providing rapid resolution for data pipeline failures and performance bottlenecks.
- Contribute to the continuous improvement of development processes, advocating for best practices in code quality, testing, and documentation.
- Mentor junior engineers and share knowledge across the organization through tech talks, documentation, and peer reviews.
Essential Qualifications
- Proven experience in data engineering concepts, including data modeling, ETL design, and data warehousing.
- Strong proficiency with SQL and at least one programming language such as Python, Scala, or Java.
- Hands‑on experience with big‑data technologies like Hadoop, Hive, and distributed storage systems.
- Familiarity with streaming platforms, particularly Apache Kafka, for real‑time data ingestion.
- Experience building and managing containerized workloads using Docker and Kubernetes.
- Solid understanding of cloud services on GCP or Azure, including compute (e.g., Compute Engine, Azure VMs), storage (e.g., Cloud Storage, Azure Blob), and managed data services.
- Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non‑technical audiences.
- Demonstrated ownership mindset, self‑motivation, and a commitment to delivering high‑quality results.
Preferred Qualifications
- Experience with Apache Airflow or similar workflow orchestration tools.
- Knowledge of NoSQL databases such as Cassandra, MongoDB, or DynamoDB.
- Background in building data pipelines for advertising or e‑commerce platforms.
- Exposure to machine learning pipelines and feature engineering workflows.
- Certifications in cloud platforms (e.g., Google Cloud Professional Data Engineer, Azure Data Engineer Associate).
- Familiarity with DevOps practices, CI/CD pipelines, and infrastructure as code (Terraform, CloudFormation).
Core Skills & Competencies
- Analytical Thinking: Ability to break down complex data problems and design elegant, efficient solutions.
- Collaboration: Comfortable working in cross‑functional scrum teams, partnering with product managers, QA, and operations.
- Problem‑Solving: Quick to diagnose issues, propose fixes, and implement long‑term improvements.
- Adaptability: Thrive in a fast‑moving environment where priorities shift and new technologies emerge.
- Continuous Learning: Commitment to staying current with industry trends, open‑source projects, and best practices.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Data Entry Engineer, you will have access to:
- Annual learning stipend for courses, certifications, or conferences.
- Mentorship programs pairing you with senior data architects and product leaders.
- Internal tech talks, hackathons, and innovation sprints that encourage experimentation.
- Clear career pathways toward senior data engineering, data architecture, or product management roles.
- Opportunities to work on high‑visibility projects that directly impact revenue and customer experience.
Work Environment & Culture at careerzynith
Our remote‑first policy means you can work from anywhere in the world while staying connected to a vibrant, inclusive community. careerzynith fosters a culture built on:
- Inclusivity: Diverse perspectives are celebrated, and every voice is heard.
- Innovation: We encourage experimentation and reward creative problem‑solving.
- Work‑Life Balance: Flexible shift options, generous paid time off, and mental‑health resources.
- Transparency: Regular town‑halls, open Q&A sessions with leadership, and clear communication of company goals.
- Recognition: Peer‑to‑peer recognition programs and performance bonuses that celebrate achievements.
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 annual bonuses.
- Comprehensive health, dental, and vision coverage.
- Retirement savings plan with company matching.
- Generous paid parental leave and family‑friendly policies.
- Home office stipend to equip your workspace with ergonomic furniture and technology.
- Unlimited PTO policy, subject to team agreements.
- Access to wellness programs, virtual fitness classes, and mental‑health counseling.
How to Apply
If you are excited about building data pipelines that power the next generation of retail advertising, we want to hear from you. Click the link below to submit your application, attach your resume, and tell us why you are the perfect fit for careerzynith.
Apply Now
Join careerzynith and Shape the Future of Retail
At careerzynith, your work will be seen by millions of shoppers and advertisers every day. You will collaborate with world‑class engineers, learn from industry leaders, and grow your career in a supportive, forward‑thinking environment. Take the next step in your professional journey—apply today and become part of a team that turns data into delightful experiences.