Sr. Data Engineer/Manager

Title: Sr. Data Engineer/Manager, 2 openings Location: Remote, USA Industry: Financial Type: 12 Month Contract Rate: 100/hr corp Job Description: 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. • Designs and develops 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 • 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 Communicate clearly and concisely with others, including senior leadership, in and outside of the organization in a credible, engaging, and confident manner. Possess the ability to adapt communication style and method as necessary, using the most effective communication method for each situation. • Summarize and translate complex, technical information into straightforward language that is simple, memorable, and engaging for various technical and non-technical audiences, helping with interpretation based on anticipated use of the information. A 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. • Proficiency in programming languages such as C#, Python, SQL, and Java. • 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.