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Sr Data Engineer - International Finance - R025331 Primary Location : DC-Washington : Employee Status : Regular Overtime Status : Exempt Job Type : Standard : : : Relocation Provided: : Yes Compensation Grade Low: : FR PAY GRADE 26 Compensation Grade High: : FR PAY GRADE 27 Minimum Salary: : $127,300.00 Maximum Salary: : $202,100.00 Posting Date : Oct 28, 2025 Position Description Minimum Education Bachelor's degree or equivalent experience Minimum Experience 5 Summary Leads and/or participates in designing and implementing data management infrastructure. Guides and/or participates in building, automating, and maintaining data management systems that combine core data sources into data repositories to enable reporting/visualization and analysis of data. Leads and/or participates in writing or improving code to handle complex data processing tasks. Leads and/or participates in product development of internal systems, tools, and platforms. With some direction, identifies key opportunities for improvement and technical/process enhancement to increase operational efficiencies. Explores and queries datasets, cleans and transforms data, and may develop dashboards and visualizations. Has an advanced ability to use tools and technologies that protect the security of Board data. Duties and Responsibilities With some guidance, influences building and architecting next generation data management platforms on a group of core technologies. Guides and/or participates in developing, maintaining, and optimizing data management solutions that ensure high availability of data availability, data scalability, data quality, data integrity and data security. Leads and/or participates in exploring new datasets, promoting data discovery and understanding, revising existing data and building and maintaining data views and aggregate data series of high complexity. Queries datasets and cleans/transforms data of high complexity. Has an advanced understanding of new/key technologies and platforms and how to incorporate third party APIs and open source/reusable components. Uses advanced knowledge of new/key technologies to provide recommendations that influence the implementation of innovative solutions. Leads the process of and/or participates in utilizing lean and agile software development practices such as test-driven development, refactoring, continuous integration, and deployment, version control, and simple design to create quality, reusable- code. Leads and/or participates in writing or improving code to handle complex data processing tasks, or rewriting old processes written in older languages. Guides and/or participates in collecting ongoing data updates from external sources to establish and maintain software code used to convert raw data into usable formats. With some guidance, creates and maintains programs and processes necessary to provide data for production and research. Guides and/or participates implementing processes and programs that monitor data quality, logging and responding to production issues, and ensures production data is always accurate and available for key stakeholders/customers and business processes that depend on it. Leads and/or participates in product development of internal systems, tools and platforms supporting operational capabilities. Guides and/or participates in transitioning existing products out of legacy technology platforms. Creates new products as ad hoc requests arise. Communicates across technical and business product managers, as well as third parties, on solution design topics. Leads and/or participates in integrating data from multiple sources to employ complex features of integration technologies. Guides and/or participates in developing recommendations and providing guidance related to data integration strategy in order to meet future reporting and analytic needs. With some guidance, influences the designing, constructing, and implementing of a database system to meet strategic needs. Leads and/or participates in building data management systems that combine core data sources into data repositories to enable reporting and analysis of data. Leads the process of and/or participates in developing, maintaining, and automating data pipelines that ingest data from a wide variety of structured, semi-structured, and unstructured data formats. Provides recommendations on database development requests. With some direction, identifies key opportunities for improvement and technical/process enhancement to increase operational efficiencies, address future technological needs, and reduce costs associated with the use of internal tools. Leads and/or participates in safeguarding digital data throughout its entire lifecycle to protect it from corruption, theft, or unauthorized access. Has an advanced ability to use tools and technologies that protect data in transit and/or at rest through processes like data masking, encryption, and redaction of sensitive information. Sets access permissions and implements fine-grained access rules, such as row-level and column-level filters and restrictions. Incorporates security practices in developing APIs. Utilizes intermediate to advanced knowledge of key components of cloud computing and one or more cloud technology platforms. Leads and/or participates in evaluating use cases to determine which cloud tools and services best fit a client’s needs. Leads and/or participates in gathering and analyzing various quantitative and qualitative data to provide useful information and actionable recommendations to clients. Based on data analysis, illustrates and reports data findings using advanced knowledge of visual charts, figures, tables, and dashboards to tailor findings to specific audiences. Remains aware of and adheres to applicable governing standards. With limited guidance, conducts regular audits of projects, processes, and operational activities and documents findings. Leads and/or participates in governing large volumes of both structured and unstructured data. Guides and/or participates in designing, developing, automating, and troubleshooting data flows and pipelines to process large quantities of data. With some assistance, proactively troubleshoots, diagnoses, documents, and resolves escalated support problems as assigned. Explains technical problems/solutions to non-technical individuals, in order to provide context for how the issue was resolved. Leads and/or participates in writing documentation for new and existing productions processes and data items. Ensures up-to-date documentation is available and written in a clear and succinct manner. Leads project teams through the cycle of a project, ensuring expectations are set, deliverables are defined, and risks are outlined. Position Requirements *U.S. CITIZENSHIP REQUIRED* *POSITION WILL BE ON-SITE IN WASHINGTON, D.C.* Position Description The Senior Data Engineer is considered a subject matter expert and acts as a project lead in support of the division’s data science and engineering hub. The senior data engineer should have advanced experience in data and production management and will contribute to the division’s evolving research, policy, and operational technology priorities in areas such as: data engineering, cloud computing, big data, data collection, data management, data analysis and data science. About the Team The Integrated Technology Solutions (ITS) section in the Division of International Finance is seeking a Senior Data Engineer with advanced experience in data management and agile delivery, data science, big data, and cloud computing. Section members contribute to operational and policymaking data projects using advanced data science techniques such as deep learning, NLP, and big data. Analytical outputs appear in policy products, research papers, as well as internal and external presentations. The section manages the ingestion of large amounts of raw data for consumption across the division and Board. These efforts require sophisticated data engineering, management, and data innovation efforts on a variety of data sources, which include non-traditional micro-data, textual data, and geospatial data. In addition, building on the current AI work withing the section, ITS is looking to expand its portfolio to include analyses that rely on AI, NLP, Natural Language Toolkit (NLTK), ML techniques, and knowledge of big data processing tools. The section also plays an active role in enhancing the division’s data and technology best practices as well as the in-house software tools for visualizations, dashboards, and more. Essential Duties ·       Optimize existing Python-based data pipelines for efficiency and scalability ·       Implement proper version control systems for data pipeline code ·       Oversee and participate in the development, design, and implementation of projects supporting the division’s advanced data engineering hub to manage, ingest, and serve data at scale. ·       Use statistical methodology, data manipulation, and research evaluation to support various projects with large, complex datasets. ·       Oversee and contribute to data studies, data discovery initiatives, and data quality investigations. ·       Design and develop PostgresSQL databases by analyzing raw data files and constructing appropriate and efficient data architecture ·       Visualize and report data findings using a variety of formats. Communicates findings through internal reports and executive summaries. ·       Compile, review, and assess information from academic journals, market sources, and other reports to maintain state-of-the-art knowledge in data analysis techniques. ·       Provide advanced technical consultation with users to diagnose and resolve complex analytical programming problems found in HPC, Hadoop, Linux, Windows or other environments. Production systems may include PYTHON, R,  FAME, MATLAB, BASH, or other code. ·       Help optimize interactions with LLMs and other AI systems to ensure they deliver accurate, relevant, and consistent outputs that align with business needs. Position Requirements Candidates must have strong organizational and oral/written communication skills as well as demonstrated interest in and aptitude for the application of theoretical and quantitative techniques in data engineering, data science, and/or computer programming. Required skills for the position include but are not limited to: ·       Experience with data science tools, such as R or Python, along with the ability to learn other statistical languages, such as MATLAB, Stata, or FAME ·       Strong Python project experience with parallel/distributed data ingestion and analysis tools, such as Ray, Dask, PySpark, etc. ·       Experience with cloud-based enterprise data platforms ·       Experience managing big data in a distributed environment using tools such as HDFS, Hadoop, Hive, Impala, HBase, Solr, Kudu, etc. ·       Experience with serverless cloud computing techniques to contribute data to and/or analyze data within a cloud environment ·       Knowledgeable about Linux systems, HPC clusters, and Hadoop environments ·       Proficient at distributed version control and project management tools (Git/GitLab/DevOps) ·       Experience with prompt engineering and how to apply it for classification and summarization ·       Experience with machine learning models in an economic or non-economic setting ·       Strong organizational and oral/written communication skills to interface with researchers, users, and colleagues In addition, experience with open-source visualization and dashboard tools in R or Python, such as ggplot2, shiny, dash, or Plotly, NLP large language models such as Llama and Phi, AWS-specific tools including Lambda, Glue, and API gateways, and familiarity with business intelligence tools including PowerBI, Tableau and SharePoint are a plus. FR-26 A bachelor’s degree in computer science or related fields and a minimum of 5 years of related experience, or a master’s degree in a related field and 4 years of related experience, or an equivalent combination of training and related experience. Requires ability to work on complex assignments simultaneously, assimilate state-of-the-art technology to resolve complex computer problems, work with all levels of the Board’s staff in support of automation, computing, and database systems, and to work independently and plan and implement projects with minimal guidance from the supervisor. FR-27 A bachelor’s degree in computer science or related fields and a minimum of 6 years of related experience, or a master’s degree in a related field and 5 years of related experience, or an equivalent combination of training and related experience. Requires ability to work on extremely complex assignments simultaneously, work on several phases or projects concurrently with the support of others within or outside the section, work with all levels of Board staff in support of automation, computing, and database systems, and to work with a high degree of independence to plan and carry out projects with only the overall objectives provided by the supervisor. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, pregnancy, national origin, age, disability, genetic information, or application, membership, or service in the uniformed services. Req ID: R025331