Responsibilities Kforce has a client that is seeking a hybrid Data Engineer to join their team in McLean, VA. Summary: The Data Engineer 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. You will collaborate with various groups within the Technology organization and across the firm to deliver high-value technology solutions and achieve organizational success. Responsibilities: • Design and develop data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems • 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 • Optimize 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 Requirements • 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 (prescriptive, predictive), business intelligence, data science, and governance • Experience with Microsoft technologies (SQL Server (IaaS, PaaS), Synapse, CosmosDB, HDInsight, Azure Data Factory, Azure Databricks, Power BI, Fabric), Informatica cloud technologies (CIH, DIH, CDGC, Master Data Management, Data Quality), Snowflake, and other relevant industry leaders • Proficiency in programming languages such as C#, Python, SQL, and Java • Communicate clearly and concisely with others • Summarize and translate complex, technical information into straightforward language • 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 • Think and act strategically to drive the success of the business and enhance our client experience • Navigate through unexpected issues and be responsive to others' needs; Prioritize different work streams and balance short-term versus long-term objectives • Be appreciative of others; Strive for humility; Respect diverse backgrounds and ways of thinking • Align actions with words, and approach work and interactions with others with a positive attitude and an optimistic outlook • Look for ways to share knowledge, make an impact, and leverage talents The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. 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