Middle Data Engineer Job at LeverX

Senior Software Engineer - Trade Processing Middle Office Platform

As an experienced Staff / Senior Software Engineer, you’ll shape our flagship Mi...

Location

United States , New York

Salary:

170000.00 - 240000.00 USD / Year

Clear Street

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or Engineering
10+ years of strong proficiency in Java / Spring Boot, Spring, RDBMS, Service Oriented Architecture (SOA), microservice based server side application development
Strong experience with distributed systems, event-driven architecture, and tools like Kafka
Practical knowledge of relational databases (e.g., Postgres) and schema design
You have contributed to systems that deliver solutions to complex business problems that handle massive amounts of data
You prioritize end user experience and it shows in your API designs, functionality, and performance
You have a strong command over design patterns, data structures, and algorithms
You have strong problem-solving skills with a keen eye for performance optimization
You can clearly explain the nuances of system design and paradigms to engineers and stakeholders
Strong understanding of multi-threading, concurrency, and performance tuning

Job Responsibility

Architect and build highly available, horizontally scalable mission critical applications in a modern technology stack
Design, build, and optimize core components responsible for processing a high volume of trade data in a low latency environment
Solve complex performance and scalability challenges, ensuring our systems handle large-scale financial data efficiently
Collaborate with product managers, and other engineers to translate financial methodologies into robust software solutions
Lead by example in system design discussions, architectural trade-offs, and best practices
Mentor team members, contributing to a strong culture of engineering excellence

What we offer

Competitive compensation, benefits, and perks
Company equity
401k matching
Gender neutral parental leave
Full medical, dental and vision insurance
Lunch stipends
Fully stocked kitchens
Happy hours

Fulltime

Middle Palantir Foundry Developer

At LeverX, we have had the privilege of delivering 1,500+ projects. With 20+ yea...

Location

Uzbekistan, Georgia

Salary:

Not provided

LeverX

Expiration Date

Until further notice

Requirements

3+ years in data/analytics engineering or software development
Hands-on experience with Palantir Foundry (pipelines and/or applications)
Proficiency in Python and SQL
Confidence with Git
Ability to translate business requirements into working solutions
English B1+

Job Responsibility

Build and maintain data pipelines and transformations in Foundry
Implement application logic, views, and access controls
Validate data and ensure basic documentation and support
Work with stakeholders to clarify requirements and iterate on features

What we offer

Impactful use-case delivery on real data
Possibility to progress into a Team Lead role: mentoring, design facilitation, and coordination
Projects in different domains: Healthcare, manufacturing, e-commerce, fintech, etc.
Projects for every taste: Startup products, enterprise solutions, research & development projects, and projects at the crossroads of SAP and the latest web technologies
Global clients based in Europe and the US, including Fortune 500 companies
Employment security: We hire for our team, not just for a specific project. If your project ends, we will find you a new one
Healthy work atmosphere: On average, our employees stay in the company for 4+ years

Middle Data Engineer

We are seeking a skilled Data Engineer with 3-5 years of experience to join our ...

Location

Ukraine

Salary:

Not provided

N-iX

Expiration Date

Until further notice

Requirements

2+ years of professional experience in data engineering or backend software engineering with a data focus
Strong proficiency in Python for data manipulation and scripting
Expert-level SQL skills for complex querying and performance tuning
Hands-on production experience with modern cloud data platforms, specifically Snowflake and Databricks
Proven experience using dbt in a production environment for transformation layers
Experience building and managing complex DAGs in Apache Airflow
Cloud platform experience: AWS
Working knowledge of Terraform for deploying and managing cloud resources

Job Responsibility

Design, develop, and maintain reliable ETL/ELT pipelines using Python and SQL to ingest data from various sources into our data lake/warehouse
Orchestrate complex data workflows and dependencies using Apache Airflow, ensuring timely data delivery and robust failure handling
Champion the use of dbt (data build tool) for developing, testing, and documenting data transformation logic within the warehouse
Develop clean, highly optimized SQL models for reporting and analytics (data modeling concepts like Star Schema or Data Vault are a plus)
Work hands-on with both Snowflake and Databricks, optimizing compute resources, managing access controls, and ensuring high performance for end-users
Utilize Terraform to provision and manage cloud infrastructure (e.g., S3 buckets, IAM roles, Snowflake warehouses) in an Infrastructure-as-Code paradigm
Implement data quality checks and monitoring within pipelines to ensure the accuracy and integrity of our data
Troubleshoot pipeline failures, identify performance bottlenecks, and implement long-term fixes

What we offer

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

Middle Data Engineer

We are seeking a motivated Data Engineer to join our team. In this role, you wil...

Location

Salary:

Not provided

N-iX

Expiration Date

Until further notice

Requirements

2+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads
2+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi
2+ years of experience prepping structured and unstructured data for data science models
2+ years of experience with containerization and orchestration technologies (Docker, Kubernetes discussable) and experience with shell scripting in Bash/Unix shell is preferable
Proficiency in Oracle & SQL and data manipulation techniques
Experience using machine learning in data pipelines to discover, classify, and clean data
Implemented CI/CD with automated testing in Jenkins, Github Actions, or Gitlab CI/CD
Familiarity with AWS Services not limited to Lambda, S3, and DynamoDB
Demonstrated experience implementing data management life cycle, using data quality functions like standardization, transformation, rationalization, linking, and matching

Job Responsibility

Developing and maintaining robust data pipelines that drive our business intelligence and analytics

What we offer

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

Middle QA Big Data

The objective of this project is to enhance the QA processes through the impleme...

Location

Ukraine

Salary:

Not provided

N-iX

Expiration Date

Until further notice

Requirements

3+ years of QA experience with a strong focus on Big Data testing, particularly with hands-on experience in Data Lake environments on any cloud platform (preferably Azure)
Experience with Azure
Hands-on experience in Azure Data Factory, Azure Synapse Analytics, or similar services
Proficiency in SQL, capable of writing and optimizing both simple and complex queries for data validation and testing purposes
Experienced in PySpark, with experience in data manipulation and transformation, and a demonstrated ability to write and execute test scripts for data processing and validation (ability to understand the code and convert the logic to SQL)
Hands-on experience with Functional & System Integration Testing in big data environments, ensuring seamless data flow and accuracy across multiple systems
Knowledge and ability to design and execute test cases in a behavior-driven development environment
Fluency in Agile methodologies, with active participation in Scrum ceremonies and a strong understanding of Agile principles
Familiarity with tools like Jira, including experience with X-Ray for defect management and test case management
Proven experience working on high-traffic and large-scale software products, ensuring data quality, reliability, and performance under demanding conditions

Job Responsibility

Design and execute data validation tests to ensure completeness in Azure Data Lake Storage (ADLS), Azure Synapse, and Databricks
Verify data ingestion, transformation, and loading (ETL/ELT) processes in Azure Data Factory (ADF)
Validate data schema, constraints, and format consistency across different storage layers
Conduct performance testing on data pipelines
Optimize query performance by working with data engineers
Identify, log, and track defects in JIRA
Collaborate with Data Engineers and Business Analysts to resolve data inconsistencies
Generate detailed test reports, dashboards, and documentation for stakeholders

What we offer

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

Rust Engineer - Platform

As a Platform Backend Engineer (Rust) at Keyrock, you will drive the development...

Location

Salary:

Not provided

Keyrock

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience
Proven experience in building and maintaining data-intensive, large-scale, high-performance trading data platforms
Strong expertise in Rust (or C++), Python, and TypeScript for system development and automation in the financial services industry
Good understanding of data engineering principles, including data modeling, ETL pipelines, and stream processing
Experience with financial services data workflows, including trading, middle office, and back office operations
Extensive experience in cloud-native architectures, with proficiency in AWS
Proficient in GitOps tools and methodologies for infrastructure automation and deployment
Strong background in DevSecFinOps, ensuring compliance, security, and cost efficiency across the development lifecycle
Hands-on experience with CI/CD pipelines, infrastructure as code (IaC), and monitoring tools

Job Responsibility

Rust Development: Design, build, and maintain high-performance backend services and APIs using Rust, ensuring low latency and high availability for critical trading data platforms
Strong systems engineering fundamentals: Concurrency, memory management, networking, serialization, and observability Solid understanding of performance tuning and profiling in real-world systems
System Integration: Create seamless integrations between live trading operations (exchanges/DeFi) and backoffice systems, automating workflows to improve operational efficiency
Cloud-Native Deployment: Deploy and manage services in a cloud-native environment, leveraging AWS, Kubernetes, and Terraform to scale infrastructure infrastructure-as-code
DevOps & Observability: Maintain GitOps-driven workflows, ensuring robust CI/CD pipelines and implementing deep system observability (logging, metrics, tracing) for rapid incident response
Database Optimization: Optimize data storage and retrieval strategies (SQL/NoSQL), balancing query performance, cost efficiency, and data integrity in a high-volume financial environment
Security & Compliance: Engineer solutions with a "Security-First" mindset, ensuring strict adherence to compliance standards and secure handling of sensitive financial data
Cross-Functional Collaboration: Partner with Product Managers, Risk teams, and other engineers to translate complex business requirements into reliable technical specifications and features
Technical Excellence: Actively participate in code reviews, contribute to architectural discussions, and mentor fellow engineers to foster a culture of high code quality and innovation
Continuous Improvement: Stay updated on emerging trends in the Rust ecosystem, cloud infrastructure, and blockchain technologies to continuously refine the platform’s capabilities

What we offer

A competitive salary package
Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely
The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence

Fulltime

Middle Data Engineer

Vention is a global engineering partner to tech leaders and fast-growing startup...

Location

Georgia , Batumi

Salary:

Not provided

Vention

Expiration Date

Until further notice

Requirements

Hands-on experience with Apache Hop, including designing, orchestrating, and monitoring ETL/ELT pipelines, managing transformations and workflows, and integrating with relational and cloud data sources
Strong experience with Microsoft SQL Server and SSRS, including writing and optimizing complex T-SQL queries and stored procedures, designing relational schemas, and developing, deploying, and maintaining SSRS reports (tabular and paginated) for business stakeholders
Technical requirements: Python, SQL Spark, PySpark, Pandas AWS: Glue, S3, DMS, Lambda, Athena, RDS Kubernetes, Helm Terraform, Terraform Cloud

Job Responsibility

Design and implement automated pipelines to collect data from diverse sources (APIs, RDBMS, Cloud) into a centralized Data Lake/Warehouse
Develop logic to transform and map heterogeneous data into a unified, consistent style and schema
Build, monitor, and optimize end-to-end data workflows using Apache Hop, AWS Glue, and Lambda
Ensure cost-effective data processing by optimizing cloud resource consumption and minimizing LLM token usage
Maintain and optimize complex T-SQL queries, schemas, and SSRS reports within MS SQL Server environments

What we offer

EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
Licenses for AI tools: GitHub Copilot, Cursor, and others
24 working days of vacation per year
Expanded medical insurance
Corporate getaways & team building activities
Fitpass sport program
Support for significant life events
Access to discounts across a variety of stores, restaurants & cafes through a corporate discount program
Referral bonuses for bringing in new talent

Fulltime

Middle Data Engineer

Vention is a global engineering partner to tech leaders and fast-growing startup...

Location

Georgia , Tbilisi

Salary:

Not provided

Vention

Expiration Date

Until further notice

Requirements

Hands-on experience with Apache Hop, including designing, orchestrating, and monitoring ETL/ELT pipelines, managing transformations and workflows, and integrating with relational and cloud data sources
Strong experience with Microsoft SQL Server and SSRS, including writing and optimizing complex T-SQL queries and stored procedures, designing relational schemas, and developing, deploying, and maintaining SSRS reports (tabular and paginated) for business stakeholders
Technical requirements: Python, SQL Spark, PySpark, Pandas AWS: Glue, S3, DMS, Lambda, Athena, RDS Kubernetes, Helm Terraform, Terraform Cloud

Job Responsibility

Design and implement automated pipelines to collect data from diverse sources (APIs, RDBMS, Cloud) into a centralized Data Lake/Warehouse
Develop logic to transform and map heterogeneous data into a unified, consistent style and schema
Build, monitor, and optimize end-to-end data workflows using Apache Hop, AWS Glue, and Lambda
Ensure cost-effective data processing by optimizing cloud resource consumption and minimizing LLM token usage
Maintain and optimize complex T-SQL queries, schemas, and SSRS reports within MS SQL Server environments

What we offer

EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
Licenses for AI tools: GitHub Copilot, Cursor, and others
24 working days of vacation per year
Expanded medical insurance
Corporate getaways & team building activities
Fitpass sport program
Support for significant life events
Access to discounts across a variety of stores, restaurants & cafes through a corporate discount program
Referral bonuses for bringing in new talent

Fulltime

Middle Data Engineer

LeverX

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 09, 2025

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