Data Engineer | ZIVENTRA | Remote / WFH

ZIVENTRA; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

ZIVENTRA is actively seeking an experienced Data Engineer on a remote/Work-From-Home basis to join our engineering team. You will design, develop, and maintain production data pipelines, optimize Airflow DAGs, and manage Snowflake-based data warehouses.

The role requires 4+ years of data engineering experience, proficiency in Python or Java, and strong knowledge of batch and streaming data architectures. You will collaborate with software, product, and analytics teams while upholding data

Qualifications

• Bachelor’s degree in CS/IT/SE/Analytics or related field.
• 4+ years of production data engineering and pipeline development.
• Hands-on Airflow orchestration and DAG development.
• Experience with Snowflake data warehousing.
• Proficiency in Python or Java for data processing.
• Understanding of batch and streaming data architectures.

Responsibilities

• Design, build, test, and maintain robust, scalable production data pipelines for batch and streaming data.
• Orchestrate, monitor, and optimize complex Airflow DAGs for reliable data delivery.
• Administer, optimize, and scale Snowflake cloud data platforms.
• Develop data processing applications using Python or Java.
• Troubleshoot, performance tune, and root-cause data pipeline failures.
• Maintain data quality frameworks, lineage, and governance artifacts.
• Collaborate with analytics, data science, and core software teams.
• Ensure data security, privacy compliance, and cloud cost management.

Skills

Apache Airflow

Snowflake

Python/Java

ETL/ELT design

Data governance

Cloud platforms

Education

Bachelor's degree in CS/IT/SE/Analytics

Tools

Snowflake

dbt

Great Expectations

Airbyte

Terraform

Kafka

Spark

Job description

Position Summary

ZIVENTRA is actively seeking an experienced, high-caliber, and technical Data Engineer with 4+ years of professional experience to join our engineering team on a remote / work-from-home (WFH) basis. In this critical data infrastructure role, you will be responsible for designing, developing, and maintaining production data pipelines, orchestrating workflows with Apache Airflow, and managing cloud data platforms like Snowflake. You will leverage your strong background in Python or Java, batch/streaming data processing, system ownership, and complex debugging to deliver uncompromised data reliability and pipeline performance. This opportunity offers competitive compensation, remote flexibility, and exceptional career growth prospects within a premier technology innovation enterprise.

Detailed Job Description

As a Data Engineer supporting remote engineering operations at ZIVENTRA, you will take full operational, tactical, and technical ownership of production data pipelines, Airflow DAG reliability, and cloud data warehouse integration. Your day-to-day responsibilities include building scalable ETL/ELT pipelines, optimizing Snowflake data models, resolving data quality anomalies, and troubleshooting complex distributed computing bottlenecks. You will collaborate closely with software engineering, product, and analytics squads to maintain rigorous data governance and system ownership. Furthermore, you will manage application requirements via direct email to [e-mail], ensuring strict compliance with Apache Airflow, Snowflake, and production data engineering standards.

Key Responsibilities

• Design, build, test, and maintain robust, scalable, and high-performance production data pipelines for batch and streaming data.
• Orchestrate, monitor, and optimize complex Apache Airflow DAGs to ensure reliable and timely data delivery.
• Administer, optimize, and scale cloud data platforms, with deep specialist expertise in Snowflake data warehousing.
• Develop clean, maintainable, and efficient data processing applications utilizing Python or Java.
• Execute proactive troubleshooting, performance tuning, and root cause analysis for pipeline failures and data discrepancies.
• Maintain end-to-end system ownership, data quality frameworks, monitoring alerts, and data lineage documentation.
• Collaborate cross-functionally with analytics, data science, and core software engineering teams to align data architectures.
• Ensure strict adherence to data security standards, privacy compliance, and cloud cost management best practices.

Required Qualifications & Skills

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Data Analytics, or a related technical discipline.
• Minimum of 4+ years of progressive professional experience in production data engineering and pipeline development.
• Strong hands-on operational expertise in Apache Airflow orchestration and DAG development.
• Proven practical experience with cloud data platforms, specifically Snowflake data warehousing.
• Proficiency in programming languages including Python or Java for data processing and automation.
• Solid understanding of batch and streaming data architectures, ETL/ELT design patterns, and database fundamentals.
• Excellent analytical, troubleshooting, debugging, and cross-functional communication capabilities.
• Mandatory legal work eligibility and reliable high-speed internet connectivity for remote / WFH operations.

Nice-to-Have Skills

• Hands-on experience with Apache Kafka for real-time streaming ingestion and Apache Spark for distributed data processing.
• Professional cloud certifications (e.g., Snowflake SnowPro Core Certified, AWS Certified Data Analytics / Solutions Architect).
• Familiarity with modern data stack tooling (dbt, Great Expectations, Airbyte) and Infrastructure-as-Code (Terraform).
• Prior professional working experience in fast-paced technology startups or distributed remote engineering teams.

Salary/Rate: Market Competitive / Remote Engineering Package

Notice Period: Immediate to 30 Days

Contract Duration: Permanent / Full-Time Remote (WFH)

Deadline: Open until filled (Urgent Remote WFH Opening)