Big Data Engineer
Quick Summary
VectorNova Technologies is hiring a Big Data Engineer to design and optimize high-volume data pipelines that support advanced analytics, business intelligence, and artificial intelligence initiatives. The ideal candidate will have a passion for distributed systems, scalable infrastructure, and ensuring that data flows seamlessly across multiple platforms and applications.
Project Category or Industry
Big data engineering, cloud computing, and enterprise analytics.
Type
Full-time employment.
Experience Level
Entry to mid level, with structured onboarding for junior engineers while offering opportunities for experienced candidates to lead complex initiatives.
Duration
Permanent and long-term.
Location
Remote with a preference for candidates in North America or Europe who can provide a minimum four-hour overlap with GMT or EST time zones.
Salary
USD 95,000–125,000 annually depending on experience, plus performance-based incentives, stock options, and benefits.
Payment Mode
Monthly salary with quarterly bonuses.
Hiring Company Name
VectorNova Technologies.
Required Skills or Tools
Candidates should have solid programming skills in Python, Java, or Scala, with experience in big data frameworks such as Hadoop, Spark, or Flink. Familiarity with cloud services including AWS, GCP, or Azure is important. Strong SQL skills, knowledge of NoSQL databases, and experience with workflow orchestration tools like Airflow or Luigi are desirable.
Project Description
The role centers on building and maintaining high-volume data pipelines that ingest, transform, and deliver data for analytics and machine learning applications. The engineer will work closely with data scientists, analysts, and product teams to ensure timely and accurate data delivery.
Core Responsibilities and Expected Deliverables
The Big Data Engineer will be responsible for designing ETL workflows, scaling distributed data systems, and optimizing storage solutions. Expected deliverables include well-documented data pipelines, automated monitoring systems, and reliable datasets available to stakeholders. The engineer will also collaborate on system architecture decisions and ensure compliance with security standards.
Required Experience and Preferred Qualifications
A bachelor’s degree in computer science, data engineering, or a related field is required. Demonstrated experience with big data platforms and cloud environments is essential. Professional certifications in cloud data services or big data technologies are considered an advantage. Prior experience in a large-scale production environment will be valued.
Tools or Platforms to Be Used
Hadoop, Spark, Flink, SQL, NoSQL databases, Airflow, Git, Docker, Kubernetes, and cloud services such as AWS Redshift, GCP BigQuery, or Azure Synapse.
Language Requirement
English proficiency is required for both written and verbal communication.
Communication Style
Team communication will be conducted via Slack and Zoom for daily stand-ups, with project management handled in Jira and formal documentation maintained in Confluence.
Time Commitment or Working Window
The role requires a 40-hour work week with flexibility in scheduling, provided there is sufficient overlap with the core collaboration window in GMT or EST.
Payment Terms
Fixed monthly salary with quarterly bonuses tied to performance outcomes and system reliability metrics.
Evaluation Criteria
Candidates will be evaluated based on their technical test results, ability to optimize large data systems, and their problem-solving approach during interviews. Strong collaboration and communication skills will also be key factors in assessment.
Other Requirements
A confidentiality agreement and compliance with data handling policies are mandatory. Engineers must adhere to version control practices and participate in peer code reviews.
About the Company
VectorNova Technologies is a technology solutions provider specializing in big data engineering, AI infrastructure, and advanced analytics. Founded in 2014 and headquartered in Berlin, with a global remote team, the company helps enterprises in finance, healthcare, and e-commerce build data ecosystems that power innovation. VectorNova emphasizes scalable solutions, continuous learning, and a collaborative culture. More information is available at https://vectornovatech.com or by contacting careers@vectornovatech.com.