Top Data Engineer Jobs

As a Data Engineer at Prophecy, you will develop data engineering workflows using Apache Spark and Apache Airflow. You will be responsible for solving complex customer problems, educating users on best practices, and building reusable Spark packages to enhance data transformation processes.

As a Data Engineer at Testlio, you will develop data models, create and maintain data pipelines, automate data integration processes, and implement data mart systems. You will work closely with the Business Operations team to enhance the organization's data accessibility and reporting capabilities.

The Data Engineer will design and implement data pipelines and analytics infrastructure, develop Python and SQL components, maintain cloud infrastructure, and create data models. They will collaborate with customers to enhance data exploration and improve technical practices while coordinating project objectives.

The Senior Data Engineer at Overjet will design and implement data solutions, manage data ingestion, optimize data pipelines, promote seamless data flow, enhance data transformation processes, and establish a strong data quality framework while leading data literacy initiatives.

As a Data Engineer, you will design and maintain ETL pipelines, develop data schemas, implement secure data storage procedures, optimize data processing tasks, and coordinate with data providers. Senior Data Engineers will take on leadership roles, breaking down projects, mentoring junior engineers, and improving ETL tools.

The Principal Data Engineer will lead a Data Engineering team responsible for developing and implementing data solutions to enhance the company's data capabilities. This role includes designing and documenting software solutions, mentoring team members, and improving existing systems for increased efficiency and performance.

As a Lead Data Engineer at Capital One, you will collaborate with Agile teams to develop innovative technical solutions using full-stack tools and technologies. Your role includes working with machine learning, cloud services, and data warehousing while mentoring team members and driving transformation in the organization.

As a Data Engineer at StackAdapt, you will design and implement modular and scalable real-time data pipelines, work on custom ML algorithms, and manage microservices for training and monitoring ML models in a collaborative environment.

As a Data Engineer I, you will create and maintain scalable code for data needs, improve software processes, develop observability tools for monitoring data jobs, work with Data and MLOps Engineers to integrate data features, mentor teams on software best practices, and innovate solutions to data challenges.

The BI Data Engineer will build data pipelines and Python-based ETL tools, develop and optimize data models, generate end-to-end reporting solutions, and collaborate with business leaders to define key metrics and reporting requirements, aiming to improve data usage across the company.

The Data Engineer II will design and maintain the data warehouse, focusing on ETL processes and data architecture. They will collaborate with various teams to gather data requirements, support data analysis, and develop reporting mechanisms. This role demands proficiency in big data tools and analytical skills to create efficient data solutions.

The Principal Data Engineer will design, develop, and maintain ETL pipelines for data acquisition and transformation. Responsibilities include collaborating with teams to understand data needs, utilizing AWS Glue, optimizing ETL processes, and applying data governance practices. The role requires strong technical skills in Python, Spark, and SQL, along with experience in data matching and analytics.

As a Data Engineer, you will be responsible for maintaining, cleaning, and manipulating data in operational and analytics databases. You will design and develop Snowflake data warehouse solutions, implement ETL processes, work with data suppliers, and collaborate with cross-functional teams to deliver data solutions while staying current with industry trends.

As a Senior Data Engineer on the Finance team, you will manage financial data pipelines, ensuring accurate reporting and collaborating with cross-functional teams. You will design scalable solutions and have autonomy in driving key initiatives that impact the company's financial data vision.

The LLM Data Engineer will design, implement, and maintain data pipelines for Generative AI platforms, focusing on techniques like Supervised Fine Tuning and Reinforcement Learning from Human Feedback. Responsibilities include data source integration, optimizing workflows, managing various vector store technologies, and collaborating with teams to ensure data quality for AI/ML models.

The Data Engineer III is responsible for architecting and maintaining scalable tooling and infrastructure for data management, including building automated data pipelines and managing data storage. The role involves collaborating with Data Scientists for model improvements and ensuring data quality and availability, while also coaching teams on data-driven decision making.

The Principal Data Architect at SpyCloud will modernize data pipelines, optimize costs for large-scale data operations, and design robust streaming architectures using AWS technologies. The role involves leadership in architectural practices, documentation, mentorship of junior engineers, and collaboration with Product Management to align data strategies with company goals.