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About careerzynith – Innovating the Future of Data‑Driven Retail
careerzynith is a leading player in the retail and health‑care sector, renowned for its commitment to leveraging data to enhance customer experiences, streamline operations, and drive strategic growth. With a legacy of more than a century, careerzynith has continuously evolved, embracing cutting‑edge technologies such as cloud computing, artificial intelligence, and advanced analytics. As the company expands its digital footprint, the need for talented data professionals who can design, build, and maintain robust data pipelines has never been greater. This is your chance to join a forward‑thinking organization that values curiosity, collaboration, and continuous learning.
Position Overview – Remote Data Engineer (Entry Level)
careerzynith is seeking a highly motivated, entry‑level Data Engineer to join our dynamic data team. Working remotely from anywhere in the United States (with a focus on Indiana), you will play a pivotal role in constructing and maintaining large‑scale data pipelines that power analytics, reporting, and machine‑learning solutions across the enterprise. This full‑time position offers a competitive hourly rate of $28 and a supportive environment where you can grow your technical expertise while contributing to real‑world business impact.
Key Responsibilities
- Design, develop, and operate ETL (Extract, Transform, Load) processes that ingest data from diverse sources into careerzynith’s data lake and warehouse.
- Build and maintain scalable data pipelines using modern cloud technologies, ensuring they are repeatable, reliable, and secure.
- Collaborate closely with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into technical specifications.
- Implement data models and schemas that support efficient querying, reporting, and downstream analytics.
- Monitor pipeline performance, troubleshoot data quality issues, and proactively resolve bottlenecks.
- Enforce data governance standards, including data lineage, metadata management, and compliance with privacy regulations.
- Document architecture, processes, and best practices to facilitate knowledge sharing across the data engineering community.
- Participate in code reviews, agile ceremonies, and continuous improvement initiatives to elevate the overall maturity of careerzynith’s data platform.
Essential Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
- Minimum 2 years of hands‑on experience with data engineering concepts, including building data pipelines and working with relational databases.
- Proficiency in SQL for data extraction, transformation, and analysis.
- Demonstrated ability to collaborate with internal and external partners, maintaining strong relationships to ensure data quality and alignment with business objectives.
- Experience analyzing and interpreting data to identify patterns, anomalies, and opportunities for process improvement.
- Willingness to travel up to 10% of the time for on‑site meetings, training sessions, or collaborative workshops.
Preferred Qualifications & Technical Skills
- Advanced degree (Master’s or Ph.D.) in a quantitative discipline or specialized field.
- Experience developing RESTful APIs to expose data services to downstream applications.
- Familiarity with the Azure ecosystem, including Azure Data Factory, Azure Databricks (Python or Scala), Azure Data Lake, Azure Synapse, Event Hubs, Event Grid, and Logic Apps.
- Hands‑on experience building Azure DevOps pipelines for CI/CD, Infrastructure as Code (IaC), and automation.
- Knowledge of containerization (Docker, Kubernetes) and modern data orchestration tools (e.g., Airflow, Prefect).
- Understanding of data security best practices, encryption, and compliance frameworks such as GDPR and HIPAA.
Core Skills & Competencies
- Analytical mindset: Ability to dissect complex data sets, spot trends, and propose actionable insights.
- Problem‑solving orientation: Proactive in identifying issues, troubleshooting root causes, and delivering sustainable solutions.
- Communication excellence: Clear articulation of technical concepts to non‑technical audiences and effective documentation skills.
- Team collaboration: Comfortable working in cross‑functional teams, sharing knowledge, and contributing to a culture of continuous learning.
- Adaptability: Thrive in a fast‑paced, evolving environment where priorities shift based on business needs.
- Attention to detail: Commitment to data integrity, accuracy, and adherence to governance standards.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Data Engineer, you will have access to:
- Mentorship from senior data architects and industry experts.
- Sponsored certifications (e.g., Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics).
- Internal training programs covering cloud platforms, big data technologies, and advanced analytics.
- Opportunities to work on high‑impact projects that influence strategic decisions across the organization.
- A clear career ladder that can lead to roles such as Senior Data Engineer, Data Platform Lead, or Data Architecture Manager.
Work Environment & Culture at careerzynith
careerzynith fosters an inclusive, collaborative, and innovative workplace where every voice matters. Our remote‑first policy empowers employees to work from the comfort of their homes while staying connected through virtual team‑building activities, regular check‑ins, and digital collaboration tools. We celebrate diversity, encourage curiosity, and recognize achievements through a robust rewards program.
Compensation, Perks & Benefits
While the base hourly rate for this role is $28, careerzynith offers a comprehensive benefits package that includes:
- Health, dental, and vision insurance with multiple plan options.
- Flexible paid time off (PTO) and paid holidays.
- 401(k) retirement plan with company matching contributions.
- Employee assistance program (EAP) for mental health and wellness support.
- Professional development stipend for courses, conferences, and certifications.
- Remote work allowance covering home office equipment and internet expenses.
- Employee discount programs and wellness initiatives.
How to Apply
If you are eager to launch your data engineering career with a forward‑thinking organization, we want to hear from you. Please submit your resume and a brief cover letter outlining your interest in the role and how your background aligns with the responsibilities outlined above.
Apply Job!
Join careerzynith – Shape the Data Landscape of Tomorrow
At careerzynith, your work will directly influence how millions of customers interact with our services, making data‑driven decisions that improve lives every day. Take the next step in your career, grow your skill set, and become part of a vibrant community that values innovation, integrity, and impact. Apply today and start your journey with careerzynith!
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