Top Data Engineer Jobs

As a Data Engineer II at Stackline, you will build scalable data systems, develop ETL processes, and collaborate with cross-functional teams to optimize data workflows.

As a Data Engineer, you will develop and manage the data infrastructure that supports HTS Media's advertising business, build ETL/ELT pipelines, and enable data-driven insights for advertisers and internal analytics.

Design and develop scalable data solutions, manage data pipelines, optimize performance, perform production support, and collaborate with stakeholders.

Design, build, and maintain scalable data pipelines and infrastructure to support analytics and AI/ML. Perform data extraction, cleaning, modeling, and integration across systems, collaborate with data scientists and architects, and support operationalization via DataOps/DevSecOps/MLOps while ensuring security and compliance.

Senior individual contributor leading design and build-out of enterprise Azure cloud data platform capabilities. Defines architecture, reusable patterns, and standards; provides hands-on implementation, technical mentorship, and cross-functional alignment to enable scalable, secure analytics and data solutions.

Lead design and implementation of enterprise Azure cloud data platform capabilities. Define reference architectures, reusable platform components, standards, and enablement for ingestion, storage, processing, security, and observability. Provide hands‑on engineering, technical leadership, cross‑functional collaboration, and mentorship to ensure scalable, secure, and consistent data solutions.

The Data Engineer will design and build solutions for investment insights using big data technologies, developing data pipelines, and collaborating with cross-functional teams.

The HR Data Engineer/Data Scientist will design and maintain data integration pipelines for workforce-related datasets, ensuring high-quality data and collaborating with stakeholders. Responsibilities include automating data workflows, developing documentation, validating data, and implementing governance frameworks.

Design, build, and maintain scalable ETL/data pipelines and data models; ensure data quality and governance; collaborate with data scientists, analysts, and stakeholders; optimize performance and document data systems; evaluate and adopt data platform technologies.

As a Data Engineer Intern, you will design and build data systems and tools for AI-driven workflows, optimize data quality across GTM systems, and develop internal applications using TypeScript and React.

We're seeking a Data Engineer with 5+ years of experience to build data processing solutions using Python, design data models, and process large data streams while ensuring high performance across various data technologies.

The Senior Data Engineer will build and optimize data pipelines, ensure data integrity, and collaborate with stakeholders to meet business requirements while implementing best coding practices.

The Data Engineer conducts data analytics projects, implements data standards, and collaborates with stakeholders while ensuring data quality and integrity.

The Data Engineer supports Credit Review by designing, maintaining data environments, and enhancing analytics for credit risk management using SQL, Python, and AWS tools.

The Cloud Data Engineer will design, implement, and manage data solutions on Microsoft Azure, create and maintain data pipelines, and ensure data security for decision-making processes.

As a Data Engineer, you will architect and maintain the data systems, create pipelines and integrations, and ensure data quality for analytics and reporting.

As a Data Developer, you will create reliable ETL processes, design data warehouses, and develop reports while ensuring data quality and security.

The Data Engineer II designs, develops, and maintains data integration and analytics solutions, ensuring data quality and accessibility for business stakeholders, while collaborating with teams to meet business needs.

The Data Engineer will design, develop, and implement data solutions, ensuring data integrity and availability, collaborating with stakeholders to meet business analytics needs.

The Data Engineer will build and maintain data infrastructure, design data pipelines, and develop reusable frameworks, leveraging technologies like Azure Databricks and PySpark for data processing and transformation.

The Data Engineer will enhance the Enterprise Data Warehouse, modernizing ETL processes, optimizing data transformations, ensuring data quality, and providing production support while collaborating with cross-functional teams.

Develop, maintain, and orchestrate cloud-native ETL/ELT pipelines using Python and Airflow. Build serverless workflows with AWS Lambda, model transformations with dbt, manage DynamoDB schemas, automate CI/CD, and implement data quality, testing, and governance to support analytics.

Lead technical onboarding and integrations: map customer schemas to canonical models, design incremental and full data syncs, deploy pipelines across on-prem/cloud infra, collaborate with AI/ML teams to ensure high-fidelity inputs, and own successful customer deployments and last-mile onboarding.

Build and optimize core data platform: improve ClickHouse performance, create configurable ingestion schemas, develop shared Python libraries, design integration pipelines, and architect monitoring/observability for reliable, production-grade data delivery.

Build and maintain production data pipelines and Apache Iceberg tables on Google Cloud. Design schemas and data quality checks, enrich metadata and lineage, collaborate with BI and platform teams, monitor pipeline reliability, and contribute to data governance and cataloging.