Top Data Engineer Jobs

Design, build, and execute data pipelines and migration strategies to move legacy data into Temenos systems. Perform data mapping, cleansing, testing, validation, and post-migration support. Collaborate with stakeholders, QA, and vendors, use Temenos migration and ETL tools, and document transformation logic while ensuring data integrity and minimal cutover downtime.

The Data Engineer will assist in testing and deploying applications, implementing data quality and warehouse pipelines, and collaborating with various teams.

The Data Engineer will build ETL pipelines and data infrastructure, ensure data quality, and implement modern data warehousing for analytics improvements, while collaborating with stakeholders across teams.

Design and build Snowflake-based data pipelines and analytical models using Medallion Architecture. Enable AI/ML workflows, develop Streamlit data apps, optimize SQL/Python code, mentor engineers, and support platform reliability and migrations from legacy systems.

Lead design and delivery of data platform and analytics solutions, maintain data lake and catalogs, mentor ACE team, drive ROI-focused analytics projects, and enable data-driven decision-making across the business.

Design, build, and maintain secure, scalable cloud-native data platforms (lakehouse/data mesh) supporting batch, streaming, ML, GIS, and operational workloads. Lead ingestion/transformation pipelines, implement distributed/event-driven processing (Spark/Kafka), enforce governance, observability, and SLAs, and mentor engineers while partnering with data scientists and stakeholders.

Lead design, development, testing, and troubleshooting of complex data applications and database architectures. Build scalable ETL pipelines, data models, and analytics solutions; mentor junior engineers; collaborate with stakeholders and vendors; own quality and technical decisions across projects.

Design, build, and operate cloud-native data platforms and scalable pipelines using Snowflake and dbt. Lead orchestration, CI/CD, observability, and performance tuning. Collaborate on backend services and limited frontend work, mentor engineers, define modeling standards, and participate in multi-team architecture and system design.

The Senior Data Engineer will lead data discovery efforts for USSOCOM, managing data classification, tools deployment, and ensuring network performance while enhancing security measures.

As a Senior Data Engineer, you'll design, build, and optimize data infrastructure while collaborating with teams to enhance data flow and integration across platforms.

As a Senior Data Engineer at Afresh, you'll improve how customer data is integrated and processed, designing robust ETLs and enhancing platform tools to support scalability and accuracy in handling large datasets.

As a Senior Data Engineer at First American, you will enhance data security processes, manage projects, generate reports, and collaborate with teams to secure data assets.

The Senior Data Engineer builds and deploys LLM-enabled data products, develops data pipelines, and implements LLMOps in a collaborative environment to enhance cancer research outcomes.

The Lead Clinical Data Science Programmer designs and develops programming solutions for clinical trials, ensuring data accuracy through validation and supporting clinical teams with data insights while mentoring junior programmers.

The Senior Data Engineer will design and maintain scalable data pipelines and analytics systems for product and marketing insights, ensuring data quality and collaborating with various teams.

The role involves designing AI-driven defense systems, operationalizing ML models for security, and advancing the use of LLMs in security insight generation.

Manage data loading processes, ensure data quality, design ETL pipelines, build Power BI reports, and maintain data models while collaborating with business teams.

Design and maintain data pipelines, collaborate with teams for data requirements, and optimize data processes using tools like Snowflake and Informatica.

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.

As Lead Data Engineer, you will design and build data solutions for AI and analytics, guide teams, and collaborate on Gen AI applications.

The Data Layer Engineer will design data architecture solutions, manage data governance frameworks, and collaborate with technology teams on data-related issues.

The role involves owning the data infrastructure and pipeline, building robust data pipelines, managing Snowflake and dbt, and delivering analytics and dashboards.

As a Senior Data Engineer, you will design and maintain data infrastructure, implement ETL processes, and optimize data workflows using Python and PySpark.

As a Senior Data Engineer, you will develop data pipelines, analyze raw data, build algorithms, and collaborate with data scientists to create a Quality Data platform for Operations.

The Data Integration Engineer will design, build, and maintain data pipelines and integrations across AWS and Snowflake, ensuring data quality and security while optimizing performance. They will collaborate with various technical teams to implement scalable solutions and document processes for maintainability.