Top Data Engineer Jobs

As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.

The role involves designing and implementing data pipelines using Azure technologies, integrating various data sources, and optimizing data systems to meet business goals. The candidate will also engage in real-time streaming and advanced analytics modeling while focusing on data quality and transformation techniques.

As an AWS Data Engineer at Tiger Analytics, you will design, build, and maintain scalable data pipelines on AWS. Responsibilities include implementing data workflows, optimizing performance, and collaborating with data scientists and business stakeholders to deliver analytics solutions.

As a Data Engineer at Legalist, you will design and develop scalable data pipelines, collaborate with cross-functional teams to meet data needs, and optimize data pipeline performance. Responsibilities include developing ELT processes, participating in agile development, and applying best practices in data modeling.

The Data Engineer III is responsible for constructing high-quality datasets, writing SQL queries, monitoring database stability, and assisting with data governance. They lead and mentor a team, architect data management systems, and create data pipelines on AWS. They also work independently to solve complex problems and collaborate with stakeholders to develop reliable solutions.

As a Data Developer, you will be responsible for developing and maintaining SQL and .Net code for data extraction and loading. You will analyze existing data structures, develop data migration processes, and ensure SQL processes are stable and secure. Bachelor's degree in computer science and 2+ years of experience with programming, relational database management systems, C#, SQL, XML, and ETL tools are required.

The Principal Data Engineer at Hypergiant will develop and improve a data service for cloud-based applications, support data modeling, collaborate throughout the software development lifecycle, ensure high-quality code and data reliability, and lead technical initiatives while fostering a culture of continuous improvement.

The Data Engineer II will design, build, and maintain data pipelines, collaborating with data scientists and product managers. Responsibilities include transforming raw data, deploying machine learning models, optimizing infrastructure, and mentoring junior engineers.

The Data Engineer I will design, build, and test batch and streaming data pipelines, transforming raw data into datasets for analysis, reporting, and machine learning models. This role requires collaboration with other engineers, participation in the software development lifecycle, and maintaining data pipelines for various business areas within Condé Nast.

Seeking a skilled Data Engineer with expertise in Logstash and Databricks to manage and optimize clients' data pipelines for efficiency and reliability. Collaborate with data scientists and analysts, troubleshoot issues, ensure data security and compliance, and stay updated on data engineering best practices.

As a Senior Data Engineer, you will design, implement, and maintain scalable data infrastructure. Responsibilities include building data pipelines using Databricks, implementing DevOps tools for CI/CD, optimizing performance, ensuring data quality, collaborating with teams, and providing mentorship.

Seeking a highly skilled and motivated Data Engineer to design, develop, and maintain data infrastructure using Python, PySpark, ETL processes, and CI/CD. Responsible for data architecture, ETL development, Python and PySpark development, data integration, and streaming/batch workflows. Required qualifications include a degree in Computer Science or a related field, proven experience as a Data Engineer, strong programming skills in Python and expertise in PySpark, and familiarity with ETL tools and processes.

As a Data Engineer at Datavant, you will create and maintain ETL processes, collaborate with development teams to define data flows, and ensure the quality of data models. You will document data architecture, audit data quality, and identify inefficiencies in current processes. Your role involves participating in agile projects and producing documentation to support development.

Join Glass Health as a Founding AI/Data Engineer and play a key role in designing and building platforms, developing user-facing generative AI features, and collaborating with cross-functional teams. You will ensure reliability, security, and performance in a startup environment focused on advancing healthcare technology.

The Sr MDM Data Engineer is responsible for building high-quality data pipelines and data repositories to support downstream analytics and reporting. They work with business, IT, and analytics teams to design optimized solutions and leverage best practices for timely, reliable, and scalable data products.

The Data Engineer II will develop and maintain data pipelines, implement ELT processes, and ensure data quality. The role involves collaboration with various teams to design data products and optimize queries for performance while modernizing the data pipeline platform.

As a Staff Data Engineer at Ivans, you will design and implement scalable data pipelines using cloud-native technologies, optimize data infrastructure, support BI product development, and collaborate with stakeholders to ensure successful project outcomes. Additionally, you will implement data governance tools and automate data workflows for reliable operations.