Top Senior Data Engineer Jobs

The Lead Data Engineer will develop and optimize data pipelines, mentor the engineering team, and ensure data integrity and compliance while collaborating on business insights.

Design, develop, and monitor large-scale cloud-native data solutions and ETL pipelines; support ML model deployment, ensure code hygiene and CI/CD, mentor engineers, produce documentation and runbooks, and engage with clients to deliver analytics-driven solutions.

The Senior Principal Data Analytics Engineer will lead transformations in data architecture and analytics, focusing on high-quality, accessible data for decision-making, while collaborating with teams, ensuring governance, and optimizing performance.

The Senior Data Engineer will design and maintain data pipelines, build reusable data sets, validate data integrity, and ensure user privacy and security. This role requires strong expertise in SQL and Python, and familiarity with AWS and various data technologies.

The Senior Data Engineer will build and maintain data pipelines, optimize data processing, and ensure data privacy and quality within the healthcare tech space.

The Senior Data Engineer at Ibotta will lead the design and implementation of data contracts, AI readiness scoring, and governance frameworks, while also mentoring junior engineers and ensuring data integrity in an AI-driven environment.

The Founding Data Engineer will design and build OpenArt's core data platform, ensuring data reliability, consistency, and scalability to support leadership and product metrics.

The Data Engineer will design and optimize data pipelines, integrate data sources using CData, develop Snowflake models, and create Looker schemas, while ensuring data quality and collaborating with stakeholders.

The Data Engineer is responsible for designing and maintaining data architecture, implementing data pipelines, and collaborating with cross-functional teams to align data strategies with business needs.

Responsible for designing and maintaining scalable data pipelines in Azure, ensuring data quality, and optimizing solutions for analytics. Collaborates with stakeholders to gather data needs and automate data operations using CI/CD practices.

Lead design and implementation of a unified event-tracking data platform. Collaborate with Data, Product, and Engineering to build reusable event-publishing frameworks, monitoring/alerting, and deprecate legacy systems. Coach mid-level engineers, influence roadmap and processes, manage cloud/SaaS spend, create documentation, and participate in on-call rotations to ensure platform reliability and data trustworthiness.

The Senior Scientific Data Engineer will design and develop software applications, create data architectures, analyze data for solutions, and mentor junior team members within a mission-driven team focused on cancer treatment.

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.

The Data Engineer role involves working with data exploration, cleaning, analysis, and visualization. Key duties include leveraging statistical programming for data analysis, collaborating with stakeholders, and employing machine learning techniques, while providing insights from complex data sets.

As a Senior GCP Data Engineer, you will design data pipelines, implement data governance, mentor team members, and ensure data quality and integrity.

The Principal Data Engineer will lead the design and development of scalable data platforms, optimize data pipelines, and collaborate with multiple teams to enhance data solutions.

The Senior Data Platform Engineer will design, maintain, and enhance Hinge's data platform, including data pipelines, monitoring systems, and user feedback incorporation while ensuring data quality and system reliability.

The Data Engineer analyzes large data sets, automates processes, develops data models and reports, and demonstrates strong analytical communication skills to solve complex problems.

Design and manage scalable data pipelines and infrastructure, implement ETL/ELT processes, and collaborate with teams to ensure data quality and accessibility.

The Data Engineer will design, implement, and optimize data pipelines for analytics and AI, transforming raw data into structured datasets, utilizing technologies like Databricks and SQL.

The Senior Consultant, Data Engineer will design modern data platforms, build workflows, and translate business needs into technical solutions across various industries.

The Data Engineer will architect and maintain modern data platforms, manage ETL/ELT pipelines, integrate diverse data sources, and champion data governance while supporting advanced analytics and AI workloads.

The Data Engineer will design, build, and maintain data pipelines and cloud solutions, ensuring data quality and supporting analytics. Key tasks involve developing ETL processes, managing CI/CD, and collaborating with teams for data integration.

As a Senior Data Engineer, you'll design data pipelines, develop analytics ecosystems, and integrate AI/ML capabilities for mission-driven projects, guiding teams in an agile environment.

The Data Engineer will build and maintain an enterprise Azure data platform, integrate legacy data systems, and support executive KPI reporting and analytics initiatives.