Data Engineer

qode.world

Data Engineer enabling trading operations through scalable data solutions. Building and managing data architectures for high-volume transaction data with a focus on compliance.

Posted 5/4/2026full-timeCalifornia • California • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureCloudDistributed SystemsETLGoogle Cloud PlatformJavaKafkaPulsarPythonScalaSparkSQL

About the role

Key responsibilities & impact

Design and build real-time and batch data pipelines supporting trading workflows (orders, executions, positions, market data)
Develop low-latency data processing systems for near real-time decisioning
Build scalable data architectures for high-volume transaction data
Enable event-driven architectures using streaming platforms (Kafka, Kinesis)
Integrate with trading platforms (OMS/EMS), portfolio systems, and advisor platforms
Support use cases such as:
Trade lifecycle tracking (order → execution → settlement)
Portfolio performance and analytics
Advisor dashboards and client reporting
Ensure data consistency across front-, middle-, and back-office systems
Build and manage data lakes / lakehouse architectures (Delta Lake, Iceberg, etc.)
Develop ETL/ELT pipelines using modern frameworks
Design data models optimized for trading and analytics workloads
Implement API-driven data access layers for downstream consumption
Optimize pipelines for low latency, high throughput, and fault tolerance
Implement data quality, reconciliation, and observability frameworks
Ensure high availability and disaster recovery for critical trading data systems
Implement data governance, lineage, and auditability
Ensure compliance with regulatory requirements (SEC, FINRA, etc.)
Enable data security, entitlements, and access controls
Support trade surveillance and reporting requirements
Partner with trading desks, product teams, and architects to translate requirements into scalable data solutions
Work closely with AI/analytics teams to enable downstream insights and models
Mentor junior engineers and contribute to data engineering best practices

Requirements

What you’ll need

7–12+ years of experience in data engineering or backend engineering
Strong expertise in:
Python / Scala / Java
SQL and distributed data processing (Spark, Flink, etc.)
Hands-on experience with:
Streaming platforms (Kafka, Kinesis, Pulsar)
Data lake / warehouse technologies (Snowflake, Databricks, Redshift)
Experience building real-time or near real-time data pipelines
Strong understanding of data modeling and large-scale distributed systems
Preferred Qualifications
Experience in Wealth Management or Capital Markets trading systems
Familiarity with OMS/EMS platforms (e.g., Charles River Development, Aladdin, FIS)
Knowledge of market data (equities, fixed income, derivatives) and trade lifecycle / post-trade processing
Experience with cloud-native data platforms (AWS, Azure, GCP)
Exposure to real-time analytics and risk systems

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account qode.world Website LinkedIn All Job Openings 11 - 50 employees 🤖 Artificial Intelligence 👥 HR Tech 🎯 Recruiter Artificial Intelligence
HR Tech
Recruitment qode. world is a company that leverages artificial intelligence to revolutionize the recruiting process. Their platform allows users to find candidates by sourcing data from billions of data points worldwide and provides data-driven insights. Users can connect with candidates directly through the platform, conduct customized AI-led interviews, and get comprehensive assessments. The service also integrates easily with LinkedIn, enhancing the talent pool and facilitating direct communication with candidates listed there. Qode. world offers additional recruiting services to assist in hiring for niche or senior roles. They are praised for their effectiveness in streamlining the hiring process and delivering quick results. Data Engineer 🔥 39 minutes ago 🏢🏡 California – Hybrid ⏰ Full Time 🟠 Senior 🔴 Lead 🚰 Data Engineer Amazon Redshift AWS Azure Cloud Distributed Systems ETL Google Cloud Platform Java Kafka Pulsar Python Scala Spark SQL Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design and build real-time and batch data pipelines supporting trading workflows (orders, executions, positions, market data)
Develop low-latency data processing systems for near real-time decisioning
Build scalable data architectures for high-volume transaction data
Enable event-driven architectures using streaming platforms (Kafka, Kinesis)
Integrate with trading platforms (OMS/EMS), portfolio systems, and advisor platforms
Support use cases such as:
Trade lifecycle tracking (order → execution → settlement)
Portfolio performance and analytics
Advisor dashboards and client reporting
Ensure data consistency across front-, middle-, and back-office systems
Build and manage data lakes / lakehouse architectures (Delta Lake, Iceberg, etc.)
Develop ETL/ELT pipelines using modern frameworks
Design data models optimized for trading and analytics workloads
Implement API-driven data access layers for downstream consumption
Optimize pipelines for low latency, high throughput, and fault tolerance
Implement data quality, reconciliation, and observability frameworks
Ensure high availability and disaster recovery for critical trading data systems
Implement data governance, lineage, and auditability
Ensure compliance with regulatory requirements (SEC, FINRA, etc.)
Enable data security, entitlements, and access controls
Support trade surveillance and reporting requirements
Partner with trading desks, product teams, and architects to translate requirements into scalable data solutions
Work closely with AI/analytics teams to enable downstream insights and models
Mentor junior engineers and contribute to data engineering best practices 🎯 Requirements
7–12+ years of experience in data engineering or backend engineering
Strong expertise in:
Python / Scala / Java
SQL and distributed data processing (Spark, Flink, etc.)
Hands-on experience with:
Streaming platforms (Kafka, Kinesis, Pulsar)
Data lake / warehouse technologies (Snowflake, Databricks, Redshift)
Experience building real-time or near real-time data pipelines
Strong understanding of data modeling and large-scale distributed systems
Preferred Qualifications
Experience in Wealth Management or Capital Markets trading systems
Familiarity with OMS/EMS platforms (e.g., Charles River Development, Aladdin, FIS)
Knowledge of market data (equities, fixed income, derivatives) and trade lifecycle / post-trade processing
Experience with cloud-native data platforms (AWS, Azure, GCP)
Exposure to real-time analytics and risk systems Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Data Engineer 🕒 April 17 COVU 51 - 200 💳 Fintech 🤖 Artificial Intelligence Website LinkedIn All Job Openings Data Engineer at COVU transforming insurance operations with AI-driven insights. Building automated pipelines and collaborating in an agile environment to enhance data management. 🏢🏡 California – Hybrid 💵 $100k - $150k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Python SQL Data Engineer III 🕒 November 14, 2025 IEHP 1001 - 5000 ⚕️ Healthcare Insurance 💸 Finance 🌍 Social Impact Website LinkedIn All Job Openings Data Engineer III responsible for building data solutions at IEHP. Leading development efforts in data architecture, transformation, and best practices for data solutions. 🏢🏡 California – Hybrid 💵 $118.6k - $157.1k / year 💰 Grant on 2021-02 ⏰ Full Time 🟠 Senior 🔴 Lead 🚰 Data Engineer Azure Cloud Java Python Spark SQL .NET View More Data Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

PythonScalaJavaSQLSparkFlinkKafkaKinesisETLData modeling

Soft Skills

MentoringCollaborationCommunicationProblem-solvingAnalytical thinking