Top Data Engineer Jobs in Washington DC,
The Data Engineer is responsible for designing and maintaining data structures, ensuring accuracy and accessibility of data, assessing existing data architecture, supporting BI reporting needs, and creating quality standards for data integrity, while working with clients to meet their data management needs.
The role involves building and maintaining comprehensive account databases for clients, researching and identifying relevant companies, and validating B2B data accuracy. A skilled B2B Data Developer will utilize data mining techniques and collaborate with internal teams to tailor data collection to client needs.
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 Data Conversion Consultant Level 1 is responsible for managing data conversion projects, ensuring accurate data migration, troubleshooting issues, and supporting clients pre and post-go-live. The role involves data testing, validation, and analysis for errors, while collaborating with various stakeholders to ensure project success.
The Senior Data Engineer will build datasets and ensure quality data accessibility for product teams and data scientists. Responsibilities include designing data structures for the data warehouse, creating ETL processes, and collaborating with various teams to meet data needs and support business analytics efforts.
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.
_0.png)
The Senior IMS Mainframe DBA will create, maintain, design, and troubleshoot client databases, focusing on IMS environments. Responsibilities include database software upgrades, daily maintenance, backups, monitoring, performance optimization, and on-call support. They will collaborate with vendors and develop best practices for database management, ensuring security and efficiency.
As a Principal Data Scientist at Appspace, you will analyze data generated by our platform to create valuable reporting and analytics for customers. This includes developing data models, dashboards, and providing user training while collaborating with cross-functional teams to meet customer needs.
As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, work collaboratively with engineers, engage with clients, and mentor project teams, focusing on practical AI solutions for clients.
Contract BI Data Visualization Specialist responsible for building and maintaining user-friendly dashboards, reports, and presentations for marketing stakeholders. Must have 2-3 years of experience as a data analyst with expertise in Tableau and SQL. Strong analytical skills, familiarity with digital marketing platforms, and excellent communication abilities are required.
Top Companies in Washington DC, Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
