The United States Postal Service, Office of Inspector General is seeking a highly qualified and versatile individual to fill our Data Engineer position in the Research and Insights Solution Center located in Arlington, Virginia. Bring your skills and voice to our team!

Duties

In-Office Requirement: The U.S. Postal Service, Office of Inspector General values collaboration, teamwork, and effective communication to foster our dynamic working and learning environment. The position adheres to our agency's telework policy to facilitate this and requires an in-office presence of at least two days per pay period. Remote work is not available for this role. The Research and Insights Solution Center (RISC) is the chief data and research component of the OIG, comprised of data scientists, data analysts, programmatic subject matter experts, geographic information system professionals, data engineers, research specialists, economists, and public policy analysts. Our analytics group offers the opportunity to drive value to the organization by designing and developing analytical solutions for auditors, investigators, and researchers. The RISC analytics group is currently seeking an experienced Data Engineer and Full Stack Developer who will provide expert-level advice in the area of data engineering to build data pipelines using sound DevSecOps principles using tools such as Azure DevOps, Databricks, Python, SQL, and JavaScript frameworks like Angular/Bootstrap, HTML5/CSS, REST/SOAP APIs etc. You'll be part of a high-performing team that's embracing the latest in computing technologies to unlock opportunities that help solve problems and drive insights. In this multifaceted role, you will be responsible for designing, developing, and maintaining data pipelines, web applications, and machine learning workflows. Your expertise will bridge the gap between data engineering, software development, and operationalizing machine learning models. This is your chance to solve complex challenges and contribute to cutting-edge projects to identify fraud, waste, and abuse in the United States Postal Service. The USPS OIG uses a Pay Banding system, which is equivalent to the Federal GS scale. Grade and salary determinations will be made based upon a candidate's education and professional experience. This position is being advertised at the Journey Band level, equivalent to a GS-9 to GS-13. The salary range for this position is $68,405.00 - $153,354.00. The salary figures include locality pay. Promotion potential to a GS-13 equivalent is at management's discretion. Please note that the duties and responsibilities associated with this position may vary based upon the agency's needs at the time of hire. The following description of major duties and responsibilities is only intended to give applicants a general overview of the expectations. Work with cloud platforms (e.g., Azure) to deploy scalable data solutions Design data warehousing solutions to support analytics and data science needs by applying expert technical knowledge of database structures, data models and performance tuning, data mining, data warehousing, and segmentation techniques Design and manage automated data pipelines, ensure data integrity, deploy ML models, and collaborate with data scientists and analysts Manipulate both structured and unstructured data in a data analytics environment using languages and tools such as SQL, Python, Databricks, or Apache Spark and Azure data storage and data movement/transformation technologies (Azure Data Lake) to create high-performing, scalable, and replicable data pipelines Work with a variety of data sources including flat files, relational databases, Software- as-a-Service (SaaS) applications, and web sites using techniques including direct connections (JDBC/ODBC), REST APIs, and web scraping Support operations by identifying, researching, and resolving pipeline performance and production issues as well as using these issues to create process improvements Evaluate new data engineering tools and technologies and advise management on opportunities to improve data operation practices Apply agile engineering practices using tools like Azure DevOps or Git Develop responsive web applications using modern front-end technologies (e.g., React, Angular, Vue.js) Manage the complete software development lifecycle, including automated testing for data and analytic products Create RESTful APIs and integrate them with back-end services Implement monitoring tools for failure and performance bottlenecks Support the development of automated solutions Define and communicate data architecture requirements, keeping current with data management best practices Provide recommendations and guidance related to data integration strategy to meet future reporting and analytic needs Collaborate with data owners to establish data quality rules and definitions and implement those data quality rules in a data management system Collaborate with data analysts, data scientists, investigators, auditors, and researchers to meet the data needs of the organization

Requirements

• Must be a U.S. citizen
• Must be able to pass a drug screening and medical assessment questionnaire.
• Must be able to pass a background investigation
• Must be able to obtain and maintain Moderate Background Investigation security clearance
• Must be able to obtain and maintain a government-issued credit card
• May be required to successfully complete a 12-month probationary period

Qualifications

MINIMUM QUALIFICATIONS You must meet ALL of the minimum qualifications listed below. Bachelor's Degree from an accredited college or university AND Must have specialized experience in building and maintaining data pipelines in cloud-based tools such as Azure Databricks, Azure Data Lake, or similar platforms AND Must have specialized experience with Python or SQL AND Must have 1 year of specialized experience with containerization and building CI/CD pipelines using tools such as Docker, Kubernetes, Azure DevOps, or Jenkins AND Must have 1 year of specialized experience integrating REST and SOAP APIs to create and access data or to trigger procedures or commands DESIRABLE QUALIFICATIONS Knowledge of DevOps and Agile methodologies Advanced degree from an accredited college or university Professional Certification(s) in data engineering such as Azure Data Engineer Associate or AWS/Google Cloud equivalent Knowledge of integrating business intelligence tools (e.g., PowerBI) with cloud hosted data repositories (e.g., Azure Data Lakes) Knowledge of Microsoft Power Platform tools Proficiency in HTML, CSS, and JavaScript Understanding of database systems, including SQL and NoSQL Familiarity with deploying applications and understanding hosting environments EVALUATION FACTORS You must have the experience, knowledge and skills as listed in EACH of the evaluation factors. Failure to demonstrate that you meet all of the evaluation factor requirements as listed below will result in a score of zero (0); an ineligible status, and you will not be referred for further consideration. Include your major accomplishments relevant to the position requirements in your resume. Skilled in exploratory data analysis, data quality management, onboarding and maintaining large datasets and data pipelines using cloud-based tools like Databricks and open-source programming languages. Demonstrated mastery of languages such as Python and SQL. Skilled in integrating REST and SOAP APIs to create and access data or to trigger procedures or commands. Skilled in containerization and building CI/CD pipelines using tools such as Docker, Kubernetes, Azure DevOps, Jenkins. Strong ability to provide presentations or briefings of technical information both orally and in writing to clearly communicate analytical products, arguments, conclusions, and recommendations to executives, peers, and other stakeholders. Ability to set goals, priorities, and complete high-quality work in a timely, efficient, and professional manner applying project management practices such as agile and DevOps. You will no longer be considered for this position if you receive a zero (0) rating on any evaluation factor. Failure to demonstrate that you meet all evaluation factor requirements will result in a score of zero (0). Upon receipt of a zero score, you will be deemed "not minimally qualified," and you will not be referred for further consideration. Candidates will be evaluated on the skills that they possess that are directly related to the duties of the position and the experience, education and training that indicate the applicant's ability to acquire the particular knowledge and skills needed to perform the duties of the position. Only those candidates who meet all qualification and eligibility requirements and who submit the required information by 11:59 PM EST on 06/07/2024 will be considered.

Education

Education must be accredited by an institution recognized by the U.S. Department of Education. Applicants can verify accreditation here: www.ed.gov/admins/finaid/accred. Special Instructions for Candidates with Foreign Education: Education completed outside the United States must be deemed equivalent to that gained in U.S. education programs. You must submit all necessary documents to a private U.S. credential evaluation service to interpret equivalency of your education against courses given in U.S. accredited colleges and universities. For further information visit: http://www2.ed.gov/about/offices/list/ous/international/usnei/us/edlite-visitus-forrecog.html.

Contacts

• Address AIG Research Insight Solution Center 1735 North Lynn Street Arlington, VA 22209 US
• Name: Vacancy Inquiries
• Email: [email protected]