Business Title: Senior Specialist, Federal Data Engineer Requisition Number: 111227 - 21 Function: Advisory Area of Interest: State: DC City: Washington Description: The KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we don't anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Specialist for Federal Advisory Responsibilities: * Collaborate with multi-disciplinary and cross-functional teams to translate business objectives into artificial intelligence approaches and objectives; Strong aptitude for quickly learning business operational, process, delivery and revenue models
* Support technical processes from ideation to delivery: Research, experiment, and utilize leading data platforms / container methodologies to migrate and/or scale cloud data solutions
* Work with clients and team leads to discover data sources, and create data requests; collaborate with data engineers to develop and utilize processed to ingest and enrich structured and unstructured data
* Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns; Perform data analytics
* Help drive engineering business by building targeted industry solutions and extendable platforms
* Rapidly learn and understand client business processes by reviewing technical documents, business catalogs, white papers and deep dive into KPMG's client data to better understand the relationship between datasets, client systems and data sources
Qualifications: * Minimum three years of experience in developing data analytics solutions, data manipulation, data mining, data analysis and data management
* Bachelor's degree from an accredited college or university
* Proficiency with sophisticated analytics tools and programming languages (SQL, R, Python) and their open source packages/libraries
* Ability to apply advance intelligence techniques to achieve concrete business goals; ability to work with the business to understand available resources and constraints around data (sources, integrity and definitions), processing platforms and security; provide assistance and resolve problems, using solid problem-solving skills, and verbal/written communication
* Experience with development tools and methodologies (e.g. - Agile, GIT, test driven development, CI/CD release management) 
* Experience leveraging cloud services or Cloud Certifications (e.g. AWS Solutions Architect, AWS Machine Learning, Google Data Engineering, Azure AI Engineer Associate etc.)
* U.S. citizenship required and an active U.S. Federal government Secret security clearance
KPMG complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, the firm is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year the firm publishes a calendar of holidays to be observed during the year and provides two firmwide breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at “Benefits & How We Work”. Follow this link to obtain salary ranges by city outside of CA: https://www.kpmg.us/work-for-kpmg/pay-transparency.html/?id=M148-4
KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site). GL: 5 GF: 15306