Top Data Engineer Jobs in Washington, DC

The Data & Analytics Engineer will model and serve data, improve architecture, and collaborate with teams to sustain the data strategy, requiring 5+ years of experience.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The role involves developing AI applications, building data pipelines, maintaining analytics infrastructure, and collaborating with sales teams to enhance go-to-market strategies using data-driven insights.

The Data Quality Engineer ensures the accuracy and reliability of healthcare data pipelines, drives QA automation, and collaborates with cross-functional teams to resolve data integrity issues.

This role involves building and maintaining data pipelines, developing data models, and ensuring data discoverability while enabling scalable analytics on blockchain data.

The Data Visualization Engineer will create data storytelling products, enhancing user experiences with intuitive data representations and collaborating closely with stakeholders on visual applications.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

Nagarro seeks an Associate Principal Engineer in Big Data to leverage extensive IT experience for strategic organizational value. The role values self-starters and innovation.

The Staff Engineer - Finance Data Specialist will develop and support a Finance Data Warehouse, collaborating with Finance and Tech teams on data management and analytical solutions.

The Data Warehouse Developer is responsible for creating and maintaining ETL pipelines, collaborating with teams to ensure data integrity and quality, and supporting Microsoft data warehousing tools while adhering to development best practices.

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.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

Lead the architecture and development of scalable data pipelines, mentor team members, and align data engineering practices with business objectives in a complex technical environment.

The Manager, Data Migration will oversee data collection, migration planning, and work with engineers on data translation and operations, while building a data migration team.

The Business Intelligence/Data Cube Developer will generate reports and data cubes, write custom ETL jobs, and support analytics for a federal agency.

Design and maintain high-quality data pipelines, develop DBT models, collaborate with analytics and data science teams, and optimize data operations for scalability.

As a Senior Data Engineer, you will enhance the data lakehouse, optimize data workloads, perform complex transformations, and develop frameworks to improve delivery velocity, focusing on cybersecurity solutions.

The Senior Data Engineer will design and maintain data warehouse infrastructure, develop ELT pipelines, ensure data security, and lead analytics collaborations.

As a Data Operations Engineer, you will manage data acquisition, ensure data compliance, maintain data storage security, and collaborate with various teams to support operations.

As a Data Quality Assurance Engineer, you'll ensure data quality through testing, utilize programming languages, and present findings to diverse audiences.

The Senior Data Engineer designs and maintains data pipelines and structures, implements Adobe tools, validates data accuracy, and collaborates with teams for data-driven insights.

The Senior Data Engineer will develop data pipelines for predictive modeling, collaborate with teams, manage data assets, and apply AI solutions in an insurance context.

The role involves designing and implementing ETL solutions for data integration, conducting testing, and collaborating on data models and architecture documents for a client.

The Sr. Ab Initio Data Integration Engineer will maintain ETL processes, troubleshoot performance issues, and provide documentation for the data warehouse environment.