Data Engineer (Python, Airflow, Linux)

OneMarketData is a leading provider of high-performance data management and analytics solutions for the financial services industry. Our flagship platform, OneTick, built by Wall Street veterans, enables financial institutions to efficiently manage and analyze vast volumes of time-series data-driving faster and smarter decision-making in today’s data-driven landscape.

Headquartered in the United States, OneMarketData has operated its Armenian office (“OMD”) in Yerevan since 2007. The Armenian team is a vital part of our global operations, contributing to the development, enhancement, and support of our core products and services.

Our Cloud Operations and Data Engineering teams play a critical role in the end-to-end data delivery lifecycle—from ingesting raw data from vendors to delivering high-quality datasets to our clients.

Prior to advancing with your application, we kindly request that you review the
CONSENT NOTICE FOR HR AND RECRUITING provided by OneMarketData. Your attention to this matter is greatly appreciated. 

JOB DESCRIPTION

We’re looking for a highly analytical Data Engineer to join our Data Engineering & Cloud Operations team, which sits at the core of the end-to-end data lifecycle; from ingesting raw vendor data to delivering high-quality datasets to clients.

This isn’t just a pipeline-building role. We need someone who goes beyond fixes and digs into the why behind system behavior. You’ll own systems end-to-end and directly impact how they perform, scale, and behave under pressure. You’ll work with real-time, high-volume financial market data from 100+ global exchanges, where reliability, performance and precision are non-negotiable.

If you enjoy root cause analysis, performance tuning, and working deep in Linux-based environments - this role is for you.

WHAT YOU'LL ACTUALLY DO

Build things that matter

• Design and maintain scalable ETL pipelines in the Linux environment using Python script and Apache Airflow to process time-sensitive, high-frequency data - the kind where inefficiencies don’t hide.

Make systems faster and more reliable

• Analyze workflows, identify bottlenecks, and optimize storage and access patterns for large-scale time-series datasets.
• Your work directly impacts system performance at scale.

Work like an owner

• Collaborate with Operations and Product teams to meet strict SLAs.
• You won’t just execute tasks but shape how systems are built, improved, and maintained long-term.

Automate the boring, focus on the complex

• Reduce manual work, improve observability and make systems easier to operate.

Go beyond fixing and investigate

• Act as a Tier-3 escalation point for production issues.
• You’ll perform deep Root Cause Analysis (RCA), identifying not just what broke, but why and ensuring it stays fixed.
  
  

REQUIRED QUALIFICATIONS

• Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Physics or a related discipline.
• Advanced Python Skills: Strong programmatic foundation. You should be comfortable with sophisticated data structures, libraries, and writing clean, efficient code.
• Orchestration Expert: Practical experience managing and developing complex Apache Airflow DAGs.
• Cloud Infrastructure: Experience with AWS (S3, EFS, EC2) is highly preferable
• Linux Power User: Proficiency with Linux environments and Bash scripting. You should be comfortable navigating systems and manipulating data via the command line.
• The "Investigative" Mindset: Proven ability to perform Root Cause Analysis (RCA). You enjoy the challenge of troubleshooting complex, distributed systems.
• ETL Fundamentals: Solid understanding of ETL/ELT patterns. 
• Growth Mindset: An obsession with learning new technologies and improving existing processes.
• Analytical Thinking: High-level problem-solving skills with the ability to look at a data discrepancy and work backward to the source.
• Communication & English: Strong communication skills with professional working proficiency in English. You are able to clearly articulate technical topics, document decisions and collaborate effectively with cross-functional and distributed teams
  
  

WHAT WE OFFER

• Meaningful work with challenging tasks and real impact
• Flexible working hours and hybrid work options (home or office)
• Annual salary reviews and performance-based growth
• Health insurance(for you and your family)
• Reimbursement for professional development (training, courses, certifications)
• Referral bonus program
  

The position will require a background check, signed NDA, signed contract, and signed GDPR processor passthrough agreement (since we act as a data processor under GDPR). Salaries will be commensurate with experience, education, skillset, and local norms. Kindly note that only shortlisted candidates will be contacted for an interview.