Entry-Level Remote Data Engineer – Data Pipeline Development & ETL Specialist at careerzynith – $28/hr

About careerzynith – Pioneering Data‑Driven Solutions

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 nationwide footprint and a culture that celebrates curiosity, collaboration, and continuous learning, careerzynith empowers its employees to turn complex data challenges into actionable insights. As a forward‑thinking organization, careerzynith invests heavily in cutting‑edge cloud technologies, modern data architectures, and a supportive work environment that encourages innovation from every corner of the business.

Why This Role Matters

In today’s fast‑paced digital economy, data is the lifeblood of every successful enterprise. The Data Engineer position at careerzynith is a critical gateway for entry‑level talent to contribute directly to the design, construction, and maintenance of robust data pipelines that power analytics, machine learning, and business intelligence initiatives across the company. If you are eager to build scalable data solutions, collaborate with seasoned data scientists, and see the immediate impact of your work on real‑world business outcomes, this is the opportunity you’ve been waiting for.

Key Responsibilities – What You’ll Do Every Day

• Design, develop, and maintain ETL (Extract, Transform, Load) processes that ingest raw data from diverse sources, cleanse it, and load it into careerzynith’s data warehouses and lakes.
• Construct and optimize data pipelines that are scalable, repeatable, and secure, ensuring reliable delivery of high‑quality data to downstream consumers.
• Collaborate closely with data scientists, analysts, and product owners to translate business requirements into technical specifications and data models.
• Implement data validation and monitoring frameworks to guarantee data integrity, consistency, and compliance with internal governance policies.
• Participate in the design of relational database schemas, leveraging strong SQL skills to model and query data efficiently.
• Troubleshoot pipeline failures, diagnose root causes, and apply rapid fixes while documenting lessons learned for future prevention.
• Assist in the migration of legacy data workflows to modern cloud‑native platforms such as Azure Data Factory, Azure Databricks, and Azure Data Lake.
• Contribute to the development of automated CI/CD pipelines for data engineering code, embracing DevOps best practices.
• Engage with internal and external stakeholders—including vendors, business partners, and cross‑functional teams—to share progress, gather feedback, and align on data strategy.
• Continuously explore emerging data technologies and industry trends to recommend enhancements that keep careerzynith at the forefront of data innovation.

Essential Qualifications – What You Must Bring

• Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field. Candidates with an advanced degree in a technical discipline are also welcome.
• Experience: Minimum of 2 years of hands‑on experience in data engineering, data modeling, or related roles. Experience may include internships, co‑ops, or project work.
• SQL Proficiency: Demonstrated ability to write complex queries, optimize performance, and design relational schemas.
• Data Pipeline Development: Practical experience building end‑to‑end pipelines that ingest, transform, and store data for analytical consumption.
• Collaboration Skills: Proven track record of working effectively with both technical and non‑technical partners to deliver data solutions that meet business objectives.
• Problem‑Solving Mindset: Ability to analyze data anomalies, identify root causes, and propose data‑driven improvements.
• Flexibility: Willingness to travel up to 10% of the time for on‑site collaboration, training sessions, or stakeholder meetings.

Preferred Qualifications – Nice‑to‑Have Extras

• Advanced degree (Master’s or Ph.D.) in a quantitative discipline such as Data Science, Statistics, or Computer Engineering.
• Experience developing RESTful APIs and integrating them into data workflows.
• Hands‑on experience with Azure cloud services, including Azure Data Factory, Azure Databricks (Python or Scala), Azure Data Lake, Azure Synapse, Event Hubs, and Event Grid.
• Familiarity with DevOps tools and practices for data engineering, such as Azure Pipelines, Terraform, or similar Infrastructure‑as‑Code solutions.
• Knowledge of CI/CD concepts, automated testing, and containerization (Docker, Kubernetes) as they apply to data pipelines.
• Exposure to data governance frameworks, data quality standards, and compliance regulations (e.g., GDPR, CCPA).

Core Skills & Competencies

• Technical Acumen: Strong foundation in relational databases, data modeling, and ETL design patterns.
• Programming Languages: Proficiency in Python, Scala, or Java for data transformation tasks.
• Cloud Literacy: Comfort navigating Azure services and the broader cloud ecosystem.
• Analytical Thinking: Ability to dissect large datasets, spot trends, and translate findings into actionable recommendations.
• Communication: Clear written and verbal articulation of technical concepts to diverse audiences.
• Team Orientation: Collaborative spirit, openness to feedback, and a willingness to mentor peers as you grow.
• Adaptability: Thrive in a fast‑changing environment, quickly mastering new tools and methodologies.

Career Growth & Learning Opportunities

careerzynith is committed to the professional development of its employees. As a Data Engineer, you will have access to:

• Structured mentorship programs pairing you with senior data architects and engineers.
• Annual learning stipends for certifications, conferences, and online courses (e.g., Azure certifications, data engineering bootcamps).
• Opportunities to rotate across different business units, gaining exposure to retail analytics, supply‑chain optimization, and health‑care data streams.
• Clear promotion pathways—from Junior Data Engineer to Senior Engineer, Lead Architect, and eventually Data Platform Manager.
• Participation in internal hackathons and innovation labs where you can prototype new data solutions and showcase your ideas to leadership.

Compensation, Perks & Benefits

careerzynith offers a competitive hourly rate of $28, complemented by a comprehensive benefits package that includes:

• Health, dental, and vision insurance with employer contributions.
• Flexible paid time off (PTO) and generous holiday schedule.
• Remote‑first work model with a home‑office stipend for equipment and internet.
• Retirement savings plan with company match.
• Wellness programs, including virtual fitness classes and mental‑health resources.
• Employee assistance programs and access to counseling services.
• Career development resources, tuition reimbursement, and internal mobility options.

Work Environment & Culture at careerzynith

At careerzynith, we believe that great ideas emerge when people feel valued, heard, and empowered. Our culture is built on four pillars:

• Innovation: We encourage experimentation, support risk‑taking, and celebrate breakthroughs that improve the customer experience.
• Collaboration: Cross‑functional teams work together in an inclusive environment where diverse perspectives drive better outcomes.
• Growth: Continuous learning is woven into daily routines, from lunch‑and‑learn sessions to peer‑reviewed code and knowledge‑sharing forums.
• Integrity: Data privacy, security, and ethical use of information are non‑negotiable standards that guide every decision.

Our remote‑first policy means you can work from anywhere in the United States while staying connected through virtual collaboration tools, regular team check‑ins, and quarterly in‑person meet‑ups at careerzynith hubs.

How to Apply – Take the Next Step

If you are ready to launch your data engineering career with a forward‑thinking organization that values your curiosity and ambition, we want to hear from you. Submit your resume, a brief cover letter highlighting your most relevant projects, and any portfolio links that showcase your data pipeline work.

Apply Now – Join careerzynith!

Closing Thoughts

careerzynith is more than a place to work; it’s a community of innovators shaping the future of data‑driven retail and health‑care. By joining our team, you will gain hands‑on experience with industry‑leading technologies, collaborate with passionate professionals, and contribute to solutions that impact millions of customers daily. Don’t miss the chance to grow your career while making a tangible difference. Apply today and become a vital part of careerzynith’s data journey.