Data Engineer Manager

Kforce has a client seeking a Data Engineer Manager to join their team in McLean, VA. Summary: The Data Engineer Manager is responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis. They play a crucial role in building and managing the data pipelines that enable efficient and reliable data integration, transformation, and delivery for all data users across the enterprise. The Data Engineer Manager will collaborate with various groups within the Technology organization and across the firm to deliver high-value technology solutions and achieve organizational success. Responsibilities:

• Designs and develops data pipelines that extract data from various source
• Collaborates with architects, data scientists, AI engineers, and analysts to manage data as an asset and optimize models and algorithms for data quality, security, and governance
• Integrates data from different sources, including databases, data warehouses, APIs, and external systems
• Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed
• Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques
• Optimizes data pipelines and data processing workflows for performance, scalability, and efficiency
• Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance
• Implements data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data
• Takes authority, responsibility, and accountability for exploiting the value of enterprise information assets and of the analytics used to render insights for decision making, automated decisions and augmentation of human performance
• Bachelor's degree in computer science, data science, software engineering, information systems, or related quantitative field
• 8+ years of overall experience in data engineering - primarily within data including experience with data modelling, ETL/ELT, data integration, master data management/entity management, data quality, data warehousing, analytics, business intelligence, data science, and governance
• Proficiency in programming languages such as C#, Python, SQL, and Java
• Experience with Microsoft technologies, Informatica cloud technologies, Snowflake, and other relevant industry leaders
• Communicate clearly and concisely with others. Possess the ability to adapt communication style and method as necessary
• Summarize and translate complex, technical information into straightforward language that is simple, memorable, and engaging for various technical and non-technical audiences
• Ability to think critically and creatively; Demonstrate skill at using a variety of tools and processes to conduct research and analyses; Recognize trends in complex data and information; Use these insights to identify opportunities and make timely decisions, taking into consideration the short and long-term implications of decisions; Advise key decision makers and influence others using persuasion and negotiation tactics
• Proactively look for solutions and help others to think ahead; Think and act strategically to drive the success of the business and enhance our client experience; Be innovative and share ideas for continuous improvement
• Be flexible, and work effectively across various types of situations to achieve goals
• Value individual differences, and treat everyone with respect
• Align actions with words, and approach work and interactions with others with a positive attitude and an optimistic outlook; Respond productively to conflict, and have difficult conversations when needed