Senior Big Data, Time-Series Infrastructure Engineer

Expert Executive Recruiters (EER Global)

. Assess and choose the most suitable Big Data or NoSQL engine for high-frequency market data and trade execution logs .

Posted 10/7/2026full-timeRemoteSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep expertise in Big Data and time-series databases, with a focus on optimizing complex queries and ensuring high availability of data environments. Proficient in collaborating with cross-functional teams to support product needs and enhance data-layer efficiency.

Highest-signal resume keywords

Big Data Database ExpertiseTime-Series Database ProficiencyComplex Query OptimizationLinux Environment ExperienceFinancial Markets Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Big Data Engine SelectionSchema DefinitionComplex Query WritingData Structure OptimizationHigh-Velocity Data Management

Soft Skills

CoachingCollaborationCommunication

Tools & Technologies

ClickHouseInfluxDBScyllaDBCassandraPythonBash

Industry Keywords

High-Frequency Market DataTrade Execution LogsStreaming TicksOrder Book EventsFIX Protocol

Tech Stack

Tools & technologies

CassandraLinuxNoSQLPython

About the role

Key responsibilities & impact

Assess and choose the most suitable Big Data or NoSQL engine for high-frequency market data and trade execution logs
Own installation, configuration, scaling, and long-term operation of the database environment
Define schemas and storage strategies for very large datasets, ensuring high availability and resilience
Write and optimize complex time-series queries for execution quality and liquidity metrics so real-time monitoring tools respond in under a second
Act as the subject matter expert and coach front-end developers and teammates on efficient data-layer usage
Collaborate with the team lead and UI developers to ensure the data infrastructure supports product needs

Requirements

What you’ll need

Deep expertise in at least one leading Big Data or time-series database, such as ClickHouse, InfluxDB, or ScyllaDB/Cassandra
Proven experience operating high-velocity data environments, including streaming ticks, execution logs, and order book events
Strong skills in writing and tuning complex queries over very large datasets, including billions of rows
Extensive experience in Linux-centric environments, with a focus on system-level performance and low-latency tuning
Ability to turn business metrics into efficient data structures, without necessarily writing application-level code
Excellent English communication skills
Experience in financial markets or trading technology, such as FIX protocol, nice to have
Background in high-performance hardware/software integration, nice to have
Automation scripting with Python or Bash, nice to have