Data Engineer

Data Engineer

Own and improve batch and event-driven data ingestion pipelines, including data cleaning, entity resolution, validation, and publishing across AWS-based systems. Monitor data quality and pipeline reliability, troubleshoot production incidents, and collaborate with engineering, product, and analytics teams to ensure data reaches downstream services correctly.

Data Engineer

You will design and deliver scalable data products, including APIs and dashboards, while collaborating with cross-functional teams to translate business needs into technical solutions. You will also maintain ETL/ELT workflows and contribute to the architecture and observability of the company's data ecosystem.

Data Engineer

Design, build, and maintain data pipelines using Airflow and Trino to process data from multiple systems. Ensure observability and performance optimization while collaborating with cross-functional teams to deliver data requirements.

Data Engineer

The role involves designing, building, and maintaining data infrastructure to process and analyze large volumes of information. You will collaborate with data scientists and software engineers to ensure data quality, system scalability, and efficient pipeline performance.

Data Engineer

Maintain, troubleshoot, and optimize a data ingestion pipeline using Java and Python. Collaborate with data scientists and engineers to improve observability and ensure high-quality data flow.

Data Engineer 484 applicants

Build and maintain scalable, reliable data pipelines and govern performant cloud-deployed relational and non-relational databases. Collaborate on secure architecture definitions to drive data systems toward near real-time performance.

Senior Data Engineer

Design, build, and operationalize complex data solutions to support AI, ML, and business intelligence insights. Collaborate with internal teams and customers to provide technical guidance and ensure high-quality data delivery.

Senior Data Engineer

You will build and operate scalable ingestion, ELT/ETL, and orchestration pipelines to transform raw data into clean, AI-ready datasets. Additionally, you will implement real-time data ingestion flows and ensure high data quality through rigorous testing and observability.

Data Analyst / Data Engineer

Senior Data Engineer

You will own the architecture and technical roadmap for Jampp's data infrastructure while designing scalable ETL processes and real-time ML pipelines. Additionally, you will mentor junior engineers and drive data consistency standards across the organization.

Senior Data Engineer

Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery for model-training and real-time inference. Oversee vector data stores and implement AI-backed analytics solutions to enable advanced search and retrieval patterns.

Senior Data Engineer, Product Data Systems

You will design and operate production services for data ingestion, normalization, and enrichment to deliver threat intelligence. You will also build reliable event-driven pipelines and establish reusable engineering patterns for the team.

Lead Backend Data Engineer

Design and build scalable backend systems while leading the architecture of distributed, high-performance data processing environments. Mentor junior engineers and collaborate with cross-functional teams to ensure system health and performance through robust observability and monitoring.

Staff Data Engineer

Design, build, and operate large-scale data infrastructure using AWS cloud-native tools to support cybersecurity products. Collaborate with cross-functional teams to develop reliable data pipelines, enforce data quality standards, and drive technical roadmap initiatives.

Data Engineer Lead - Databricks

Lead end-to-end data migration initiatives and define data architecture decisions across cloud platforms. Act as the primary liaison between engineering, product, and business stakeholders to ensure project alignment and successful delivery.

AWS Data Engineer 11 applicants

You will build and maintain scalable ETL/ELT pipelines for batch and real-time processing while evolving the AWS-based data lakehouse. Additionally, you will implement data governance, security controls, and monitoring to ensure platform reliability and data quality.

Data Engineer (Marketing-oriented) | Remote for Marketing Agency for Education 12 applicants

The Senior Data Engineer will own the end-to-end data pipeline architecture, connecting paid media platforms and CRMs into a centralized BigQuery warehouse. They are responsible for building modular transformation pipelines, ensuring data quality, and enabling performant reporting for marketing teams.

Senior Clinical Data Engineer (LATAM)

The Senior Clinical Data Engineer leads the development and optimization of clinical data systems, including data standardization, validation frameworks, and high-performance database architecture. They act as a strategic liaison across departments to translate clinical requirements into scalable technical solutions while ensuring regulatory compliance.

Senior Clinical Data Engineer (LATAM)

The Senior Clinical Data Engineer will lead the development and optimization of clinical data systems, driving data standardization and building scalable validation frameworks. This role acts as a strategic liaison across departments to translate clinical requirements into high-performance technical solutions and robust ETL pipelines.

SR Data Engineer (AWS) 11 applicants

Design, build, and maintain high-throughput data pipelines and scalable cloud data warehouse architectures for financial transactions. Collaborate with cross-functional teams to implement data quality frameworks, governance standards, and automated CI/CD workflows.

Lead Backend Data Engineer 22 applicants

Design and build scalable backend systems using Java while leading the architecture of distributed, high-performance data processing environments. Manage containerized workloads via Kubernetes and collaborate with cross-functional teams to define service contracts and system observability.

Lead Backend Data Engineer 19 applicants

Design and build scalable backend systems using Java while leading the architecture of distributed systems for large-scale data processing. Manage containerized workloads using Kubernetes and implement observability solutions to ensure system health and performance.

Staff Data Engineer

The Staff Data Engineer will define data architecture and platform strategy while leading the design of scalable data lakes, warehouses, and pipelines. They will also mentor junior engineers and collaborate with cross-functional teams to integrate AI-forward solutions into enterprise operations.

Data Engineer Semi Senior - Databricks

The role involves co-developing batch and streaming pipelines on Databricks while defining data contracts and quality rules. Additionally, the engineer will mentor domain teams on data modeling and best engineering practices.

Senior Data Engineer

Design and maintain high-throughput batch and streaming data pipelines to process global financial transactions. Collaborate with cross-functional teams to build scalable data warehouse and lakehouse architectures while enforcing data quality and governance standards.

Data Engineer – Data Platforms & AI Tooling (Remote, LATAM)

You will build and maintain scalable data pipelines and integration layers to support enterprise analytics and Agentic AI ecosystems. Additionally, you will collaborate with cross-functional teams to implement data quality, observability, and security standards across production systems.

Data Engineer Senior - Databricks

The role involves co-developing batch and streaming pipelines on Databricks while defining data contracts and quality rules. You will also mentor domain teams on data modeling and engineering best practices to improve platform templates.

AI Engineer / IA Data Engineer 20 applicants

Design, develop, and implement scalable Generative AI solutions using Python and LLMs. Manage cloud infrastructure as code and integrate AI components into productive environments.

Senior Data Engineer – Redshift | Data Quality & Observability1789

Design and implement a scalable data quality framework while operationalizing GX Core for data validation. Develop observability solutions, maintain data lineage, and integrate quality checks into CI/CD pipelines to ensure data integrity.