Why you'll love this role

As a Senior Data Engineer, you will be empowered to leverage data to drive amazing customer experiences and business results. You will own the end to end development of data engineering solutions to support analytical needs of the business. The ideal candidate will be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions at speed. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with analysts, data scientists and business stakeholders.You will partner with accounting and finance business teams in expanding Financial Data Repository to support new business initiatives. Sr Data Engineer of Finance Data Repository is most challenging and exciting role to work for, with new business initiative launches in payments, finance , tax and ordering platform. Its highly critical to manage the changes on daily basis for proper accounting to keep our books clean and accurate. 

What you'll do

• Design and build mission critical data pipelines with a highly scalable distributed architecture - including data ingestion (streaming, events and batch), data integration, data curation
• Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders
• Build and support reusable framework to ingest, integration and provision data
• Automation of end to end data pipeline with metadata, data quality checks and audit 
• Build and support a big data platform on the cloud
• Define and implement automation of jobs and testing
• Optimize the data pipeline to support ML workloads and use cases
• Support mission critical applications and near real time data needs from the data platform
• Capture and publish metadata and new data to subscribed users
• Work collaboratively with business analysts, product managers, data scientists as well as business partners and actively participate in design thinking session
• Participate in design and code reviews
• Motivate, coach, and serve as a role model and mentor for other development team associates/members that leverage the platform 

About you

• 5 to 7 years experience in data warehouse / data lake house technical architecture
• 3+ years of experience in using programming languages (Python / Scala / Java / C#) Minimum
• 3 years of Big Data and Big Data tools in one or more of the following: Batch Processing (e.g. Hadoop distributions, Spark), Real time processing (e.g. Kafka, Flink/Spark Streaming)
• Minimum of 2 years' experience with AWS or engineering in other cloud environments
• Strong Knowledge of Databricks SQL/Scala - Data Engineering Pipelines
• Experience with Database Architecture/Schema design
• Strong familiarity with batch processing and workflow tools such as dbt, AirFlow, NiFi
• Ability to work independently with business partners and management to understand their needs and exceed expectations in delivering tools/solutions
• Strong interpersonal, verbal and written communication skills and ability to present complex technical/analytical concepts to executive audience
• Strong business mindset with customer obsession; ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering
• Bachelor's degree in Computer Science, or a related technical field

Why you'll love this role

As a Senior Data Engineer, you will be empowered to leverage data to drive amazing customer experiences and business results. You will own the end to end development of data engineering solutions to support analytical needs of the business. The ideal candidate will be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions at speed. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with analysts, data scientists and business stakeholders.You will partner with accounting and finance business teams in expanding Financial Data Repository to support new business initiatives. Sr Data Engineer of Finance Data Repository is most challenging and exciting role to work for, with new business initiative launches in payments, finance , tax and ordering platform. Its highly critical to manage the changes on daily basis for proper accounting to keep our books clean and accurate. 

What you'll do

• Design and build mission critical data pipelines with a highly scalable distributed architecture - including data ingestion (streaming, events and batch), data integration, data curation
• Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders
• Build and support reusable framework to ingest, integration and provision data
• Automation of end to end data pipeline with metadata, data quality checks and audit 
• Build and support a big data platform on the cloud
• Define and implement automation of jobs and testing
• Optimize the data pipeline to support ML workloads and use cases
• Support mission critical applications and near real time data needs from the data platform
• Capture and publish metadata and new data to subscribed users
• Work collaboratively with business analysts, product managers, data scientists as well as business partners and actively participate in design thinking session
• Participate in design and code reviews
• Motivate, coach, and serve as a role model and mentor for other development team associates/members that leverage the platform 

About you

• 5 to 7 years experience in data warehouse / data lake house technical architecture
• 3+ years of experience in using programming languages (Python / Scala / Java / C#) Minimum
• 3 years of Big Data and Big Data tools in one or more of the following: Batch Processing (e.g. Hadoop distributions, Spark), Real time processing (e.g. Kafka, Flink/Spark Streaming)
• Minimum of 2 years' experience with AWS or engineering in other cloud environments
• Strong Knowledge of Databricks SQL/Scala - Data Engineering Pipelines
• Experience with Database Architecture/Schema design
• Strong familiarity with batch processing and workflow tools such as dbt, AirFlow, NiFi
• Ability to work independently with business partners and management to understand their needs and exceed expectations in delivering tools/solutions
• Strong interpersonal, verbal and written communication skills and ability to present complex technical/analytical concepts to executive audience
• Strong business mindset with customer obsession; ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering
• Bachelor's degree in Computer Science, or a related technical field

Position Summary

We are looking for a skilled, hands-on senior engineer to build and maintain the core infrastructure and backend services that power our trading platform. You will work on systems where performance, correctness, and uptime are fundamental - not afterthoughts.You write clean, efficient C# and Go, take pride in the quality and reliability of your work, and are comfortable owning complex backend problems from design through production. You have a strong instinct for identifying risk before it becomes an incident, and you bring the kind of engineering discipline that high-stakes, real-time financial systems demand.

Key Responsibilities

• Design, build, and maintain backend services and platform infrastructure in C# and Go, with a focus on performance, reliability, and correctness.
• Own backend components end-to-end - from architecture and implementation through testing, deployment, and on-call support.
• Proactively identify and address technical debt, performance bottlenecks, and reliability risks before they become production incidents.
• Collaborate with the platform tech lead and other engineers on system design, code reviews, and cross-team integration work.
• Contribute to frontend development in React, particularly around platform integrations and internal tooling.
• Write and maintain comprehensive tests, documentation, and runbooks to support operational excellence.
• Participate actively in on-call rotation - owning issues through to resolution and contributing to post-incident reviews.

Qualifications

Required

• Strong C# development skills - solid understanding of the .NET ecosystem, async/await patterns, and performance optimization with modern C# idioms (.NET 6+).
• Hands-on experience building and maintaining backend or platform systems in production environments.
• Experience with low-latency or high-throughput systems, particularly in financial, trading, or data-intensive domains.
• Strong understanding of databases including schema design, query optimization, and transactional integrity (PostgreSQL, MySQL, or similar).
• Experience with RESTful API design, WebSockets, and asynchronous/event-driven architectures.
• Proficiency with CI/CD pipelines, automated testing strategies, and modern DevOps tooling.
• Frontend awareness - comfortable working across the stack, reviewing or contributing to React-based frontend work.
• Reliable and dependable - you follow through, communicate proactively, and treat your commitments seriously.
• Strong communication skills; able to collaborate effectively across engineering and product.

Preferred

• Familiarity with functional programming paradigms - comfortable applying immutability, pure functions, and composition patterns to write more predictable, testable code.
• Proficiency in Go - comfortable writing production-grade services and APIs.
• Experience with React or modern frontend frameworks - able to contribute to platform tooling and interfaces.
• Familiarity with Python for scripting, tooling, or data processing.
• Experience with Kubernetes and container orchestration in production environments.
• Background in trading, futures, prop trading, or fintech - you understand the domain and its performance expectations.
• Familiarity with distributed systems patterns: message queues (Kafka, RabbitMQ), caching strategies (Redis), and service-to-service communication.
• Exposure to observability tooling: Prometheus, Grafana, structured logging, and distributed tracing.
• Experience working in multi-team engineering organizations with shared platform dependencies.

Position Summary

We are looking for a seasoned, hands-on engineer to lead platform and backend engineering on our trading infrastructure. You will serve as the technical authority for a high-performance, low-latency trading platform - owning architecture decisions, setting engineering standards, and driving the work that keeps critical systems reliable and fast.You thrive in environments where microseconds matter, correctness is non-negotiable, and the team looks to you not just for technical direction but for the clarity and confidence to execute against it. You are pragmatic, opinionated, and comfortable operating at the intersection of systems engineering, financial technology, and cross-functional product delivery.

Key Responsibilities

• Serve as the technical lead for platform and backend engineering - owning architecture decisions, setting development standards, and coordinating across engineering, product, and business stakeholders.
• Design, build, and maintain high-performance, low-latency backend systems and trading infrastructure in C# and Go, with a relentless focus on throughput, reliability, and correctness.
• Define and enforce engineering best practices across the team, including code quality standards, testing strategies, and deployment processes.
• Proactively identify and address technical debt, performance bottlenecks, and reliability risks before they become production incidents.
• Mentor and develop engineers - providing constructive technical guidance, supporting career growth, and helping others expand their scope of ownership.
• Collaborate with frontend engineers to deliver cohesive platform features, and contribute directly to React-based tooling and interfaces when needed.
• Be a dependable presence on-call and in production - owning issues through to resolution and documenting learnings as repeatable processes.
• Drive cross-team alignment on platform capabilities, dependencies, and roadmap priorities.

Qualifications

Required

• Expert-level C# development skills - deep understanding of the .NET ecosystem, async/await patterns, performance optimization, and modern C# idioms (.NET 6+).
• Demonstrated experience leading technical architecture for backend or platform systems - producing clear, defensible design decisions with trade-off analysis.
• Hands-on experience with low-latency or high-throughput systems, particularly in financial, trading, or data-intensive environments.
• Strong proficiency with systems-level debugging, profiling, and performance tuning.
• Experience with RESTful API design, WebSockets, and asynchronous/event-driven architectures.
• Strong understanding of databases including schema design, query optimization, and transactional integrity (PostgreSQL, MySQL, or similar).
• Proficiency with CI/CD pipelines, automated testing strategies, and modern DevOps tooling.
• Frontend fluency - comfortable reviewing, contributing to, or coordinating with React-based frontend work.
• Reliable and dependable - you follow through, communicate proactively, and treat your commitments seriously.
• Strong written and verbal communication skills; comfortable driving alignment across engineering, product, and business stakeholders.

Preferred

• Familiarity with functional programming paradigms - comfortable applying immutability, pure functions, and composition patterns to write more predictable, testable code.
• Proficiency in Go - comfortable writing production-grade services, APIs, and platform tooling.
• Experience with React or modern frontend frameworks - able to contribute to or own frontend platform tooling when needed.
• Familiarity with Python for scripting, tooling, or data processing.
• Experience with Kubernetes and container orchestration in production environments.
• Background in trading, futures, prop trading, or fintech - you understand the domain, the stakes, and the performance expectations.
• Familiarity with distributed systems patterns: message queues (Kafka, RabbitMQ), caching strategies (Redis), and service-to-service communication.
• Exposure to observability tooling: Prometheus, Grafana, structured logging, and distributed tracing.
• Experience operating in multi-team engineering organizations with shared codebases or platform dependencies.

Position Summary

Join MyFundedFutures as a senior, hands-on engineer to design, build, and maintain our core backend systems, platform infrastructure, and frontend tools.  Someone who takes strong, informed positions on architecture and technology options, while remaining pragmatic and adaptable to the realities of a fast-moving trading platform business.

You thrive in environments where financial accuracy, system uptime, and developer productivity are equally critical and you treat dependability as a non-negotiable professional standard.

Key Responsibilities

• Serve as the technical lead across platform and backend engineering — owning architecture decisions, facilitating cross-team coordination, and ensuring consistent development standards.
• Design, build, and maintain core backend services and APIs using Django/Python and Go, with a focus on reliability, performance, and scalability.
• Proactively identify and address technical debt, performance bottlenecks, security risks, and reliability gaps before they become production incidents.
• Mentor and develop engineers across the team — providing clear, constructive technical guidance and helping others grow in ownership and scope.
• Contribute to frontend development in React, particularly around platform integrations and internal tooling.
• Be a dependable presence on-call and in production — you take ownership of issues through to resolution and document your learnings as repeatable processes.

Qualifications

Required

• Strong ability to write well-structured, idiomatic, Python and Go with a deep understanding of the Django ecosystem.
• Hands-on experience integrating payment systems (Stripe, Worldpay, Braintree, or similar)
• Demonstrated ability to lead technical architecture discussions and produce clear, defensible design decisions with appropriate trade-off analysis.
• Experience with RESTful API design, WebSockets, and asynchronous/event-driven architectures.
• Strong understanding of databases (PostgreSQL, MySQL, Elasticsearch) including schema design, query optimization, indexing and transactional integrity.
• Proficiency with CI/CD pipelines, automated testing strategies, and modern DevOps tooling.
• React (or similar) development experience — comfortable contributing to or reviewing frontend work within a full-stack platform context.
• Reliable and dependable – you follow through, communicate proactively, and treat your commitments seriously.
• Strong written and verbal communication skills; comfortable driving alignment across engineering, product, and business stakeholders.

Preferred

• Background in trading, futures, prop trading, or fintech environments — you understand the domain, the stakes, and the performance expectations.
• Experience with Kubernetes and container orchestration in production environments.
• Familiarity with distributed systems patterns: message queues (Kafka, RabbitMQ), caching strategies (Redis), and service-to-service communication.
• Experience operating in multi-team engineering organizations with shared codebases or platform dependencies.
• Exposure to observability tooling: Prometheus, Grafana, structured logging, and distributed tracing.