Top Data Engineer Jobs

The role involves leveraging Informatica IICS and AWS for building integrations, designing data pipelines, and optimizing performance, requiring 5 years of experience.

The role involves developing and optimizing big data applications, collaborating with users, managing the development process, and mentoring less experienced analysts while ensuring compliance with regulations.

As a Senior Software Engineer on the Data Compute team, you'll design and build scalable platform infrastructure for data processing while optimizing resource utilization and reliability across large-scale systems.

The Data Platform Engineer will support Corporate Data Science and Analytics teams by curating datasets, optimizing code, and building ETL flows for data products. Responsibilities include managing production services and using cloud technologies.

Design and implement real-time and batch data pipelines (MQTT/Redpanda, Dagster), parse binary message formats, build data warehouses (Postgres, Iceberg, Parquet, S3), design high-performance data models, validate and normalize sources, and improve local development and CI/CD with GitHub Actions to support maritime domain awareness and defense-related AI workloads.

As a Data Platform Engineer, you'll design and maintain scalable data systems, partner with teams on product direction, and ensure system reliability and security.

As a Senior Data Engineer, you will build complex data solutions and pipelines, support analytics growth, and educate users. Collaboration and advanced technical skills are essential.

Design and maintain technical infrastructure for data analysis, collaborate with stakeholders, and develop data visualization tools.

The Senior Data Engineer will design, develop, and support data solutions, working with extensive cloud and data technologies while collaborating with Agile teams.

The Senior Data Engineer will design and optimize data infrastructures and pipelines, lead projects, mentor juniors, and enforce best practices.

Architect and scale cloud data platforms and ETL/ELT pipelines (batch and near-real-time), ensure data quality and observability, implement CI/CD for data infrastructure, collaborate with stakeholders and mentor junior engineers to deliver analytics and machine-learning-ready data products.

Lead architecture, strategy, and hands-on execution for Faire's data platform. Build and scale secure, cost-efficient data ingestion, ETL/ELT, warehousing, orchestration, monitoring, and governance. Mentor engineers, influence cross-team priorities, and drive performance and cost optimization for analytics and data products.

Lead design and implementation of scalable batch and streaming data infrastructure. Build and maintain ETL/ELT pipelines, ensure data quality and observability, troubleshoot production issues, mentor engineers, and partner with cross-functional teams to deliver reliable, self-serve data products.

Lead design and delivery of Databricks-based Lakehouse solutions and end-to-end data engineering projects. Build and optimize ETL, streaming and batch pipelines, integrate cloud and on-prem systems, mentor team members, support pre-sales, and ensure governance, security, and platform performance.

As a Software Engineer, Data, you will develop scalable data infrastructure and pipelines using GCP, mentor junior engineers, and optimize data processes.

The Lead Data Engineer at Lennar will design and implement data engineering solutions, lead the data platform team, and ensure data quality and accessibility for business insights.

The Sr. Data Engineer - Databricks designs and maintains scalable data solutions using Apache Spark and Databricks, ensuring data quality and performance for analytics and reporting.

The Senior Data Engineer will design and build ETL/ELT data pipelines, optimize data workflows, implement data models, and mentor junior engineers, ensuring efficient data management and high-quality data products.

Design and implement Lakehouse solutions and data pipelines, optimize Databricks environments, and integrate AI applications while delivering exceptional results for clients.

Lead modernization efforts for data infrastructure as a Senior Data Engineer, focusing on ETL pipeline development and Snowflake implementation while mentoring peers and ensuring data security.

The role involves designing and maintaining data pipelines for observability data, collaborating with teams, and ensuring data quality for analytical use cases.

As a Sr. Data Engineer, you will design and scale data pipelines, manage data architecture, and enhance data strategies for enterprise customers.

The Senior Data Engineer designs and manages data warehouse infrastructure, develops ELT pipelines, ensures data security, and promotes data quality while collaborating with diverse stakeholders.

Seeking a Senior BODS Developer to develop and maintain complex BODS processes for data transformation. The role includes improving data quality using Information Steward and GAC/URAC techniques, collaborating with teams, creating documentation, and mentoring others.

The role involves designing and operating data integration pipelines for credit risk data, ensuring data quality and supporting regulatory reporting, while collaborating with various teams to enhance data solutions.