Senior Data Engineer

Client: Ed Tech

Title: Senior Data Engineer

Duration: Long Term

Location: 100% Remote

About the Opportunity  

·        As a Senior Engineer, you will shape the technical direction, reliability, and scalability of enterprise analytics platforms that support mission-critical exam operations.

·        You will lead the design of resilient data architectures, real-time telemetry pipelines, and high-performance reporting systems that must perform flawlessly during peak exam delivery.

·        You bring strong cloud full-stack engineering experience, with deep knowledge across backend services, data platforms, APIs, and front-end analytics applications.

·        You are comfortable designing and operating cloud-native solutions end to end—from data ingestion and transformation to secure service layers and intuitive dashboard experiences.

·        You will drive engineering excellence by establishing sound architectural patterns, automation standards, and observability practices that reduce risk and improve operational readiness.

·        This role requires expertise in scalable cloud infrastructure, performance optimization, data integrity, secure system design, and platform reliability.

In this role, you will:

Software Solutioning & Design (10%)

·        Develop and maintain a thorough understanding of the customer’s business processes and operations

·        Work closely with Solutions Architect and other Lead Engineers evaluating feature requests, providing level-of-effort estimates and contributing to sprint planning

·        Conduct and participate in peer code and design reviews

Design, Architecture & Implementation (60%)

·        Shape the technical direction, scalability, and reliability of enterprise analytics platforms supporting mission-critical exam operations

·        Design, implement, and maintain resilient cloud-native data architectures, real-time telemetry pipelines, APIs, and high-performance reporting systems

·        Build secure, scalable full-stack solutions spanning backend services, data platforms, and front-end analytics applications

·        Lead end-to-end solution design—from data ingestion and transformation to secure service layers and intuitive dashboard experiences

·        Establish and enforce strong architectural patterns, automation standards, and observability practices

·        Engineer and maintain systems with a focus on continued scalability, data integrity, high availability, and long-term reliability

·        Embed monitoring, telemetry, and operational readiness into all platform components

Technical Leadership & Engineering Excellence (20%)

·        Serve as a technical anchor for the team, guiding complex design decisions and large-scale problem-solving efforts

·        Mentor engineers and elevate development standards across cloud, data, and full-stack domains

·        Clearly communicate architectural tradeoffs, technical strategy, and platform decisions to cross-functional stakeholders

·        Promote best practices in secure system design, automation, performance optimization, and resilient engineering

Team Operations & Cross-Functional Collaboration (10%)

·        Partner with product, operations, and security stakeholders to align technical solutions with business and operational priorities

·        Support high-stakes exam readiness through proactive risk identification, capacity planning, and reliability reviews

·        Foster a culture of ownership, documentation, accountability, and continuous improvement

About You

·        7+ years of experience designing, building, and operating scalable, cloud-native applications, data pipelines, and analytics platforms in high-availability environments

·        3+ years of experience developing modern front-end applications using TypeScript and React, with a strong focus on analytics dashboards and data-driven interfaces

·        Strong hands-on experience with backend technologies such as Node.js (preferably with TypeScript) and Python, building APIs, event-driven services, and data processing components that power real-time and near–real-time analytics

·        Experience designing and maintaining reliable, scalable data ingestion, transformation, and orchestration pipelines to support operational and analytical workloads

·        Expertise in developing responsive, secure, and high-performance user interfaces using TypeScript, JavaScript, HTML, and CSS

·        Experience implementing role-based access control (RBAC) and secure access patterns to ensure proper data governance and protection of sensitive information

·        Experience with asynchronous programming, event-driven architectures, and telemetry/event-streaming patterns

·        Hands-on experience with real-time data monitoring and analytics platforms such as Grafana and InfluxDB

·        Strong experience with cloud-based data stores and query engines such as Amazon Redshift, Athena, DynamoDB, and S3-based data lakes, including performance optimization and trend analysis.

·        Deep expertise in data modeling and transformation within AWS, leveraging services such as Glue, Redshift, Athena, EMR, Lambda, and S3 to build scalable, performant, and reliable analytical data foundations

·        Experience implementing Machine Learning (ML) and Artificial Intelligence (AI) solutions within analytics platforms, including integrating predictive models, anomaly detection, trend analysis, or intelligent insights into production systems

·        Familiarity with ML lifecycle practices, model deployment, monitoring, and operationalization using platforms such as SageMaker Studio, Amazon Quick Suite or similar environments

·        Deep knowledge of AWS services including Lambda, SNS, SQS, S3, Step Functions, IAM, KMS, and CloudWatch

·        Experience provisioning and managing cloud infrastructure using Infrastructure as Code tools such as AWS CDK, CloudFormation, Terraform, and AWS CLI

·        A strong focus on scalability, data integrity, reliability, and operational readiness