Remote Big Data Engineer Jobs in New York City
Description
Remote Big Data Engineer Jobs in New York City
Introduction: Propel Your Career as a Remote Big Data Engineer
Are you ready to redefine the future of data technology? We are hiring for a Remote Big Data Engineer position in New York City. Join an agile team where innovation, collaboration, and cutting-edge technology drive every initiative. If you're passionate about building scalable data systems and extracting transformative insights, this work-from-home Big Data Engineer role could be your next big move.
With an annual salary of $132,671, this opportunity provides competitive pay and the flexibility to work from home in a high-energy, innovation-driven environment.
About the Role: Architect the Future of Data Solutions
As a remote big data engineer, you will be at the forefront of building reliable big data infrastructures and operating remotely to power mission-critical AI and analytics solutions. Your responsibilities will include implementing streaming technologies, designing resilient data pipelines, and working closely with interdisciplinary teams to deliver actionable intelligence. This role is ideal for professionals seeking impactful work-from-home opportunities as a Big Data Engineer.
Key Responsibilities
✨ Engineer and deploy scalable, distributed big data systems.
✨ Develop and fine-tune real-time data streaming solutions (e.g., Kafka, Flink).
✨ Construct and monitor robust ETL frameworks using Spark, Hive, and Airflow.
✨ Partner with data science teams to supply clean, well-organized datasets.
✨ Advance best practices in security, data management, and compliance.
✨ Innovate continuously by exploring and adopting emerging technologies.
✨ Review code systematically and drive process improvements.
Skills and Technologies: Powering Data-Driven Innovation
The landscape of Remote Big Data Engineer jobs demands technical excellence. We are seeking individuals with the following expertise to provide a strong platform for those looking for remote Big Data Engineer positions.
Core Technical Skills
✨ Programming Mastery: Proficient in Python, Scala, and Java.
✨ Big Data Frameworks: Experienced with Hadoop, Spark, Hive, and Presto.
✨ Data Integration: Skilled in Apache Kafka, Apache NiFi, and real-time ingestion.
✨ Cloud Expertise: Practical knowledge of AWS, GCP, or Azure significant data ecosystems.
✨ Orchestration Tools: Adept in Airflow, Oozie, or Kubernetes.
✨ Data Modeling Proficiency: Expertise in both relational and NoSQL data models.
✨ Security Standards: Understanding compliance frameworks, such as GDPR and HIPAA.
Preferred Qualifications
✨ Bachelor’s or Master’s in Computer Science, Data Engineering, or a related discipline.
✨ 3+ years of substantive experience in big data engineering environments.
✨ Acquainted with building machine learning pipelines and MLOps practices.
✨ Open-source contributions to big data projects are highly desirable.
Why Join Us? Innovation Without Boundaries
A career as a work-from-home Big Data Engineer here means stepping into a culture built on technology, creativity, and empowerment. This is your place if you're aiming for elite Remote Big Data Engineer jobs focused on innovation and excellence.
Our Success Metrics
✨ 99.9% system reliability across global infrastructures
✨ 25+ petabytes of data managed and processed annually
✨ Achieving 4x faster analytics year-over-year through progressive technologies
✨ Recognized with 15+ awards for cloud data excellence
Distinctive Perks
✨ Fully remote work setup with adaptable schedules
✨ Annual performance bonuses and equity packages
✨ Annual learning stipends for certifications and industry events
✨ Paid sabbaticals after four years of tenure
✨ Comprehensive healthcare benefits, including vision and dental
✨ Matched retirement savings plans
A Day in the Life of a Remote Big Data Engineer
Start your day enhancing Spark workloads, debugging Kafka clusters, and collaborating with a remote-first, globally diverse engineering team. Every day, remote big data engineer jobs offer a chance to drive substantial real-world impact, from improving healthcare data infrastructures to optimizing logistics through intelligent analytics.
Daily highlights include:
✨ Agile daily stand-ups with international teams
✨ Writing, testing, and reviewing efficient code
✨ Diagnosing and optimizing data processing systems
✨ Participating in creative hackathons and innovation labs
✨ Sharing expertise through remote knowledge sessions
This environment is ideal for professionals passionate about developing their expertise through Big Data Engineer remote jobs.
The Tech Arsenal You’ll Master
✨ Streaming Platforms: Apache Kafka, Apache Flink
✨ Data Processing Engines: Apache Spark, Hadoop HDFS, Hive
✨ Cloud Infrastructures: AWS EMR, GCP BigQuery, Azure Databricks
✨ Containerization Technologies: Docker, Kubernetes
✨ Scripting and Automation: Python, Scala, Bash
✨ Workflow Management: Apache Airflow, Prefect
✨ Data Storage Solutions: Amazon S3, Google Cloud Storage, Azure Data Lake
Ideal Candidate Attributes
You're a standout fit for our Remote Big Data Engineer jobs if you:
✨ Excel in agile, fully remote engineering environments
✨ Enjoy optimizing systems for superior performance and reliability
✨ Are committed to ongoing learning and technical growth
✨ Simplify complex data concepts for varied audiences
✨ Write clean, maintainable, and scalable code
This position promises a challenge, growth, and innovation for anyone seeking to excel in top work-from-home Big Data Engineer roles.
How We Hire: Transparent, Fast, and Technology-First
✨ Initial Review: Every application and portfolio is thoroughly assessed.
✨ Technical Assessment: Solve real-world significant data challenges.
✨ Remote Interviews: Engage virtually with engineers, data scientists, and leadership.
✨ Offer and Onboarding: Receive a competitive package and seamless onboarding support.
Our hiring approach mirrors the innovation and speed of all our Remote Big Data Engineer jobs.
Ready to Build the Future With Us?
Big data remains the catalyst for digital transformation. We invite you to apply today if you're excited about taking your expertise to new heights through Remote Big Data Engineer jobs.
✨ Ready to build the future with us? Apply today!
Contact Information
1. What are the key responsibilities of a Remote Big Data Engineer in this role?
The role primarily focuses on building and managing scalable big data infrastructures. Key responsibilities include engineering real-time data streaming pipelines with tools like Kafka and Flink, developing ETL workflows using Spark and Hive, and collaborating with data science teams to deliver clean, organized datasets. Additionally, you'll contribute to system optimization, ensure compliance with data regulations, and explore new technologies.
2. What makes this remote role unique compared to traditional Big Data Engineering positions?
This position emphasizes autonomy, flexibility, and global collaboration, unlike traditional office-based roles. You’ll be part of a remote-first culture that encourages innovation through virtual hackathons, cross-border engineering discussions, and asynchronous communication practices. The ability to work from anywhere while engaging with international teams uniquely positions this role for tech professionals seeking freedom without sacrificing technical depth.
3. How do professionals in this role stay current with evolving big data technologies?
The company offers annual learning stipends for technical certifications, online development courses, and major industry events. Team members regularly join virtual brainstorming sessions, engage in technical roundtables, and explore contributions to public data communities. This environment promotes consistent skill enhancement and long-term technical growth.
4. What technical challenges might a Remote Big Data Engineer encounter in this position?
Engineers often tackle challenges like integrating data from diverse sources, optimizing large-scale data workflows for performance, ensuring low-latency data streaming, and maintaining high system reliability across cloud platforms. Other common challenges include maintaining data security in compliance with frameworks such as GDPR and HIPAA, as well as tuning distributed systems for scalability.
5. What professional advancement can one expect in this remote Big Data Engineer position?
This role offers clear pathways for advancement into leadership positions such as Senior Engineer, Data Architect, or Engineering Manager. Team members are encouraged to lead initiatives, participate in cross-functional collaborations, and build domain expertise, all supporting progressive career development from any location.