Remote Data Engineer – Large‑Scale Data Pipelines & Analytics Engineer at careerzynith – $25/hr – Full‑Time, New York (Remote)
About careerzynith
careerzynith is a global leader in logistics, supply‑chain technology, and data‑driven solutions. With a heritage of innovation and a commitment to empowering businesses worldwide, careerzynith leverages cutting‑edge data platforms to transform how goods move, how customers are served, and how operational efficiency is achieved. As a remote‑first organization, careerzynith embraces flexible work models, invests heavily in employee development, and cultivates a culture where curiosity, collaboration, and continuous improvement thrive.
Why This Role Matters
In today’s hyper‑connected economy, data is the lifeblood of every decision. careerzynith’s Data Engineering team builds the robust pipelines that ingest, cleanse, transform, and deliver massive volumes of information to analytics, machine‑learning, and operational systems. As a Remote Data Engineer, you will be at the heart of this ecosystem, ensuring that data flows reliably, securely, and at scale—enabling the company to deliver on its promise of faster, smarter, and more sustainable logistics solutions.
Key Responsibilities
Design, Build, and Operate Scalable Data Pipelines
Architect end‑to‑end data ingestion pipelines that pull from dozens of internal and external sources, including IoT devices, ERP systems, and partner APIs.
Develop and maintain high‑throughput ETL/ELT processes using technologies such as Apache Spark, PySpark, and Flink to handle terabytes of data daily.
Implement data validation, cleansing, and enrichment routines to guarantee data quality and consistency across the platform.
Collaborate with data scientists and analysts to expose curated data sets through data lakes, warehouses, and real‑time streaming services.
Performance Optimization & Reliability
Monitor pipeline health, troubleshoot bottlenecks, and apply performance tuning techniques to achieve sub‑second latency where required.
Provide Level‑3 support for production incidents, conduct root‑cause analysis, and drive long‑term remediation strategies.
Automate testing, deployment, and rollback procedures using CI/CD frameworks, ensuring zero‑downtime releases.
Collaboration & Leadership
Act as a technical bridge between engineering, product, and business stakeholders, translating business requirements into scalable data solutions.
Mentor junior engineers, conduct code reviews, and champion best practices for data engineering, security, and compliance.
Partner with external vendors and partner ecosystems to integrate new data sources and expand careerzynith’s data capabilities.
Innovation & Continuous Improvement
Research emerging data technologies (e.g., Delta Lake, Iceberg, cloud‑native streaming) and propose adoption strategies that align with careerzynith’s roadmap.
Contribute to open‑source projects and internal reusable libraries, fostering a culture of shared knowledge and rapid iteration.
Document architecture decisions, data lineage, and operational runbooks to support knowledge transfer and auditability.
Essential Qualifications
Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
Experience: Minimum 3 years of hands‑on data engineering experience building large‑scale pipelines in a production environment.
Technical Foundations: Strong programming skills in Python, Scala, or Java; deep familiarity with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, Cassandra, MongoDB, Elasticsearch).
Big Data Ecosystem: Proven expertise with Hadoop Distributed File System (HDFS), Apache Kafka, Apache Spark, and related high‑volume data platforms.
Cloud & DevOps: Experience designing and operating CI/CD pipelines, infrastructure‑as‑code (Terraform, CloudFormation), and container orchestration (Docker, Kubernetes).
Analytical Mindset: Ability to translate complex business problems into data‑centric solutions, with a focus on delivering measurable value.
Preferred Qualifications
Master’s degree or advanced certifications in data engineering, cloud architecture, or related disciplines.
Hands‑on experience with Microsoft Azure services (Azure Data Factory, Azure Synapse, Azure Databricks) or equivalent cloud platforms.
Familiarity with machine‑learning pipelines and tools such as Pandas, Scikit‑Learn, TensorFlow, and Jupyter notebooks.
Exposure to data governance, security frameworks (e.g., GDPR, CCPA), and data cataloging solutions.
Track record of contributing to open‑source projects or publishing technical blog posts.
Core Skills & Competencies
Problem‑Solving: Ability to diagnose obscure data anomalies, design robust fixes, and prevent recurrence.
Communication: Clear articulation of technical concepts to non‑technical audiences, and effective documentation of processes.
Collaboration: Comfortable working in distributed, cross‑functional teams across time zones.
Adaptability: Thrive in fast‑moving environments, quickly learning new tools and adjusting to evolving business priorities.
Ownership: Proactive mindset with a sense of responsibility for end‑to‑end delivery and operational excellence.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a Remote Data Engineer, you will have access to:
Annual learning stipend for conferences, certifications, or online courses (e.g., Coursera, Udacity, Pluralsight).
Mentorship programs pairing you with senior architects and data science leaders.
Opportunities to lead high‑visibility projects that directly impact global logistics operations.
Rotational assignments across different business units, allowing you to broaden your domain expertise.
Pathways to senior technical roles (Principal Engineer, Data Platform Lead) or managerial tracks (Engineering Manager, Director of Data Engineering).
Work Environment & Culture at careerzynith
careerzynith champions a remote‑first culture that values flexibility, inclusivity, and work‑life balance. Our teams are distributed across continents, yet we maintain a strong sense of community through:
Virtual coffee chats, hackathons, and quarterly “All‑Hands” events.
Dedicated “focus time” policies to protect deep‑work periods.
Comprehensive health and wellness programs, including mental‑health resources and fitness subsidies.
Diverse employee resource groups that celebrate different backgrounds, perspectives, and interests.
Transparent communication channels where every voice is heard and ideas are encouraged.
Compensation, Perks & Benefits
careerzynith offers a competitive compensation package that reflects the expertise you bring to the role. While the base rate for this position is $25 per hour, total rewards include:
Performance‑based bonuses tied to project milestones and company goals.
Comprehensive medical, dental, and vision coverage for you and your dependents.
Retirement savings plan with company matching contributions.
Generous paid time off, parental leave, and flexible holiday schedules.
Home‑office stipend to equip your remote workspace with ergonomic furniture and high‑speed internet.
Access to a global employee assistance program, legal support, and financial counseling.
How to Apply
If you are passionate about building data infrastructure that powers the world’s most complex logistics network, we want to hear from you. To join careerzynith’s innovative team, click the link below, submit your resume, and tell us why you’re the perfect fit for this role.
Apply Now – Become a Data Engineer at careerzynith!
Closing Statement
careerzynith is looking for forward‑thinking engineers who thrive on challenges, love to collaborate, and are eager to make a tangible impact on a global scale. Your expertise will help shape the future of data‑driven logistics, delivering faster, smarter, and greener solutions for millions of customers worldwide. Take the next step in your career—apply today and start building the data pipelines that move the world.
Apply for this job
careerzynith is a global leader in logistics, supply‑chain technology, and data‑driven solutions. With a heritage of innovation and a commitment to empowering businesses worldwide, careerzynith leverages cutting‑edge data platforms to transform how goods move, how customers are served, and how operational efficiency is achieved. As a remote‑first organization, careerzynith embraces flexible work models, invests heavily in employee development, and cultivates a culture where curiosity, collaboration, and continuous improvement thrive.
Why This Role Matters
In today’s hyper‑connected economy, data is the lifeblood of every decision. careerzynith’s Data Engineering team builds the robust pipelines that ingest, cleanse, transform, and deliver massive volumes of information to analytics, machine‑learning, and operational systems. As a Remote Data Engineer, you will be at the heart of this ecosystem, ensuring that data flows reliably, securely, and at scale—enabling the company to deliver on its promise of faster, smarter, and more sustainable logistics solutions.
Key Responsibilities
Design, Build, and Operate Scalable Data Pipelines
Architect end‑to‑end data ingestion pipelines that pull from dozens of internal and external sources, including IoT devices, ERP systems, and partner APIs.
Develop and maintain high‑throughput ETL/ELT processes using technologies such as Apache Spark, PySpark, and Flink to handle terabytes of data daily.
Implement data validation, cleansing, and enrichment routines to guarantee data quality and consistency across the platform.
Collaborate with data scientists and analysts to expose curated data sets through data lakes, warehouses, and real‑time streaming services.
Performance Optimization & Reliability
Monitor pipeline health, troubleshoot bottlenecks, and apply performance tuning techniques to achieve sub‑second latency where required.
Provide Level‑3 support for production incidents, conduct root‑cause analysis, and drive long‑term remediation strategies.
Automate testing, deployment, and rollback procedures using CI/CD frameworks, ensuring zero‑downtime releases.
Collaboration & Leadership
Act as a technical bridge between engineering, product, and business stakeholders, translating business requirements into scalable data solutions.
Mentor junior engineers, conduct code reviews, and champion best practices for data engineering, security, and compliance.
Partner with external vendors and partner ecosystems to integrate new data sources and expand careerzynith’s data capabilities.
Innovation & Continuous Improvement
Research emerging data technologies (e.g., Delta Lake, Iceberg, cloud‑native streaming) and propose adoption strategies that align with careerzynith’s roadmap.
Contribute to open‑source projects and internal reusable libraries, fostering a culture of shared knowledge and rapid iteration.
Document architecture decisions, data lineage, and operational runbooks to support knowledge transfer and auditability.
Essential Qualifications
Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
Experience: Minimum 3 years of hands‑on data engineering experience building large‑scale pipelines in a production environment.
Technical Foundations: Strong programming skills in Python, Scala, or Java; deep familiarity with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, Cassandra, MongoDB, Elasticsearch).
Big Data Ecosystem: Proven expertise with Hadoop Distributed File System (HDFS), Apache Kafka, Apache Spark, and related high‑volume data platforms.
Cloud & DevOps: Experience designing and operating CI/CD pipelines, infrastructure‑as‑code (Terraform, CloudFormation), and container orchestration (Docker, Kubernetes).
Analytical Mindset: Ability to translate complex business problems into data‑centric solutions, with a focus on delivering measurable value.
Preferred Qualifications
Master’s degree or advanced certifications in data engineering, cloud architecture, or related disciplines.
Hands‑on experience with Microsoft Azure services (Azure Data Factory, Azure Synapse, Azure Databricks) or equivalent cloud platforms.
Familiarity with machine‑learning pipelines and tools such as Pandas, Scikit‑Learn, TensorFlow, and Jupyter notebooks.
Exposure to data governance, security frameworks (e.g., GDPR, CCPA), and data cataloging solutions.
Track record of contributing to open‑source projects or publishing technical blog posts.
Core Skills & Competencies
Problem‑Solving: Ability to diagnose obscure data anomalies, design robust fixes, and prevent recurrence.
Communication: Clear articulation of technical concepts to non‑technical audiences, and effective documentation of processes.
Collaboration: Comfortable working in distributed, cross‑functional teams across time zones.
Adaptability: Thrive in fast‑moving environments, quickly learning new tools and adjusting to evolving business priorities.
Ownership: Proactive mindset with a sense of responsibility for end‑to‑end delivery and operational excellence.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a Remote Data Engineer, you will have access to:
Annual learning stipend for conferences, certifications, or online courses (e.g., Coursera, Udacity, Pluralsight).
Mentorship programs pairing you with senior architects and data science leaders.
Opportunities to lead high‑visibility projects that directly impact global logistics operations.
Rotational assignments across different business units, allowing you to broaden your domain expertise.
Pathways to senior technical roles (Principal Engineer, Data Platform Lead) or managerial tracks (Engineering Manager, Director of Data Engineering).
Work Environment & Culture at careerzynith
careerzynith champions a remote‑first culture that values flexibility, inclusivity, and work‑life balance. Our teams are distributed across continents, yet we maintain a strong sense of community through:
Virtual coffee chats, hackathons, and quarterly “All‑Hands” events.
Dedicated “focus time” policies to protect deep‑work periods.
Comprehensive health and wellness programs, including mental‑health resources and fitness subsidies.
Diverse employee resource groups that celebrate different backgrounds, perspectives, and interests.
Transparent communication channels where every voice is heard and ideas are encouraged.
Compensation, Perks & Benefits
careerzynith offers a competitive compensation package that reflects the expertise you bring to the role. While the base rate for this position is $25 per hour, total rewards include:
Performance‑based bonuses tied to project milestones and company goals.
Comprehensive medical, dental, and vision coverage for you and your dependents.
Retirement savings plan with company matching contributions.
Generous paid time off, parental leave, and flexible holiday schedules.
Home‑office stipend to equip your remote workspace with ergonomic furniture and high‑speed internet.
Access to a global employee assistance program, legal support, and financial counseling.
How to Apply
If you are passionate about building data infrastructure that powers the world’s most complex logistics network, we want to hear from you. To join careerzynith’s innovative team, click the link below, submit your resume, and tell us why you’re the perfect fit for this role.
Apply Now – Become a Data Engineer at careerzynith!
Closing Statement
careerzynith is looking for forward‑thinking engineers who thrive on challenges, love to collaborate, and are eager to make a tangible impact on a global scale. Your expertise will help shape the future of data‑driven logistics, delivering faster, smarter, and greener solutions for millions of customers worldwide. Take the next step in your career—apply today and start building the data pipelines that move the world.
Apply for this job