We are looking for an experienced, opinionated, and highly technical Staff Data Engineer to define the long-term direction of our Data Platform.
This role is ideal for a senior data leader who combines deep hands-on expertise with strong architectural judgment, enjoys mentoring others, and takes full ownership of complex, high-scale data systems.
You will drive platform architecture, set engineering standards, and lead the design and delivery of scalable batch and streaming data solutions on AWS.
Key Responsibilities:
Technical Leadership & Architecture:
Own and evolve the overall data platform architecture-scalability, reliability, security, and maintainability.
Lead the long-term strategic direction of the platform, balancing performance, cost, and operational excellence.
Introduce and drive adoption of modern data paradigms: lakehouse (Iceberg), event-driven pipelines, schema-aware processing.
Data Lake & Architecture Ownership:
Design, model, and evolve the Data Lake architecture, including:
Storage layout and data organization
Data formats and table design (e.g., Iceberg)
Batch and streaming ingestion patterns
Schema governance and lifecycle policies
Define and promote best practices for data modeling, partitioning, and data quality.
Ensure the Data Lake supports analytics, ML workloads, and operational systems at scale.
Platform Engineering:
Design and build high-scale ETL/ELT pipelines leveraging Apache Spark (EMR/Glue) and AWS-native services.
Optimize production-grade pipelines using S3, Athena, Kinesis, Lambda, Step Functions, and EKS.
Lead the rollout of modern patterns such as lakehouse architectures and event-driven data pipelines.
Security & Governance:
Ensure alignment with AWS security best practices-IAM, encryption, auditing, and compliance frameworks.
Partner with security and governance teams to support regulated and sensitive data environments.
Mentorship & Collaboration:
Serve as a technical mentor to data engineers; elevate team capabilities.
Lead architecture reviews and cross-team design discussions.
Work closely with Data Science, ML Engineering, Backend, and Product teams to deliver end‑to‑end data solutions.

Were looking for a highly skilled and motivated Senior Data Engineer to join the Resolve (formerly DevOcean) team at our company. In this role, youll be responsible for designing, building, and optimizing the data infrastructure that powers our SaaS platform. Youll play a key role in shaping a cost-efficient and scalable data architecture while building robust data pipelines that serve analytics, search, and reporting needs across the organization.
Youll work closely with our backend, product, and analytics teams to ensure our data layer remains fast, reliable, and future-proof. This is an opportunity to influence the evolution of our data strategy and help scale a cybersecurity platform that processes millions of findings across complex customer environments.
Roles and Responsibilities:
Design, implement, and maintain data pipelines to support ingestion, transformation, and analytics workloads.
Collaborate with engineers to optimize MongoDB data models and identify opportunities for offloading workloads to analytical stores (ClickHouse, DuckDB, etc.).
Build scalable ETL/ELT workflows to consolidate and enrich data from multiple sources.
Develop data services and APIs that enable efficient querying and aggregation across large multi-tenant datasets.
Partner with backend and product teams to define data retention, indexing, and partitioning strategies to reduce cost and improve performance.
Ensure data quality, consistency, and observability through validation, monitoring, and automated testing.
Contribute to architectural discussions and help define the long-term data platform vision.

We are looking for a highly skilled Data Engineer . to build and maintain robust, scalable data pipelines and data marts acting as the connective tissue for intelligence insights generation that serves executive stakeholders , internal customers and 3rd party
The Fintech AI & Data group is looking for a staff Data Engineer to work closely with analysts, data scientists, and software developers and strengthen Fintech by building data capabilities and AI transformation.
Responsibilities:
Gather data needs from internal customers like product and analysts, and translate those requirements into a working database and analytic software.
Design, build, and maintain scalable, reliable batch and real time data pipelines, data marts and warehouse supporting executive dashboards, operational analytics, and internal customer use cases
Ensure high data quality, observability, reliability, and governance across all data assets
Optimize data models for performance, cost-efficiency, and scalability
Develop data-centric software using leading-edge big data technologies.
Build data capabilities that enable automated agentic insights and decision intelligence
Develop reusable data services and APIs that power AI-driven workflows
Evolve our data architecture into an AI-native data layer designed to power LLMs, AI agents, and intelligent applications
Collaborate with analytics, product, and AI teams to translate business needs into scalable data solutions
Influence the software architecture and working procedures for building data and analytics
Work bBe the go-to person for anything and everything regarding understanding the data - exploration, pipelines, analytics, etc. and work both independently and as part of a team
How youll succeed
Have an impact on satisfying customers and reducing financial fraud
Help build the team by hiring the best talent
Contribute toexperiments and research on how to enhance our capabilities
Learn new technologies and methodologies
Collaborate with other data engineers, analysts, data scientists and developers
Be proactive with a self-starter attitude
Be a good listener, while also having strong opinions on what is right
Be fun to be around :)

We are seeking a Senior Backend & Data Engineer to join its SaaS Data Platform team.
This role offers a unique opportunity to design and build large-scale, high-performance data platforms and backend services that power our cloud-based products.
You will own features end to end-from architecture and design through development and production deployment-while working closely with Data Science, Machine Learning, DevOps, and Product teams.
What Youll Do:
Design, develop, and maintain scalable, secure data platforms and backend services on AWS.
Build batch and streaming ETL/ELT pipelines using Spark, Glue, Athena, Iceberg, Lambda, and EKS.
Develop backend components and data-processing workflows in a cloud-native environment.
Optimize performance, reliability, and observability of data pipelines and backend services.
Collaborate with ML, backend, DevOps, and product teams to deliver data-powered solutions.
Drive best practices, code quality, and technical excellence within the team.
Ensure security, compliance, and auditability using AWS best practices (IAM, encryption, auditing).
Tech Stack:
AWS Services: S3, Lambda, Glue, Step Functions, Kinesis, Athena, EMR, Airflow, Iceberg, EKS, SNS/SQS, EventBridge
Languages: Python (Node.js/TypeScript a plus)
Data & Processing: batch & streaming pipelines, distributed computing, serverless architectures, big data workflows
Tooling: CI/CD, GitHub, IaC (Terraform/CDK/SAM), containerized environments, Kubernetes
Observability: CloudWatch, Splunk, Grafana, Datadog
Key Responsibilities:
Design, develop, and maintain scalable, secure backend services and data platforms on AWS
Build and operate batch and streaming ETL/ELT pipelines using Spark, Glue, Athena, Iceberg, Lambda, and EKS
Develop backend components and data processing workflows in a cloud-native environment
Optimize performance, reliability, and observability of data pipelines and backend services
Collaborate with ML, backend, DevOps, and product teams to deliver data-driven solutions
Lead best practices in code quality, architecture, and technical excellence
Ensure security, compliance, and auditability using AWS best practices (IAM, encryption, auditing)

Required Data Engineer
Position Overview:
We are assembling an elite, small-scale team of innovators committed to a transformative mission: advancing generative AI from conceptual breakthrough to tangible product reality. As a Senior Data Engineer, you will be the critical data backbone of our innovation engine, transforming raw data into the fuel that powers groundbreaking GenAI solutions, driving our digital intelligence capabilities to unprecedented heights.
Your Strategic Role:
You are not just a data engineer - you are a strategic enabler of GenAI innovation. Your primary mission is to:
Prepare, structure, and optimize data for cutting-edge GenAI project exploration
Design data infrastructures that support rapid GenAI prototype development
Uncover unique data insights that can spark transformative AI project ideas
Create flexible, robust data pipelines that accelerate GenAI research and development
What Sets This Role Apart:
Data as the Foundation of AI Innovation
You'll be working at the intersection of advanced data engineering and generative AI
Your data solutions will directly enable the team's ability to experiment with and develop novel AI concepts
Every data pipeline you design has the potential to unlock a breakthrough GenAI project
Exploration and Innovation
Conduct deep data exploration to identify potential GenAI application areas
Work closely with AI researchers to understand data requirements for cutting-edge GenAI projects.