ClearanceJobs
Senior Specialist, Federal Data Engineer with Security Clearance
ClearanceJobs, Saint Louis, Missouri, United States, 63146
Business Title:
Senior Specialist, Federal Data Engineer
Requisition Number:
117456 - 48
Function:
Advisory
Area of Interest:
State:
MO
City:
Saint Louis
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 to join our Federal Advisory practice.
Responsibilities:
Develop code to prepare, extract, and enrich a variety of structured and unstructured data sources, working with the business to understand available resources / constraints around data.
Create production quality data pipelines and Machine Learning pipelines that can be deployed at scale.
Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains (risk management, product development, marketing research, supply chain, public policy).
Support leading teams in the development of client solutions utilizing analytics, exploratory data analysis, data wrangling, and ETL.
Provide oversight, scoping, technical assistance, and quality control over the development of analytics solutions using analytics / data wrangling tools (e.g. Python, R, SQL, SAS).
Perform operations to prepare data for analysis (e.g. data cleansing, data integration, data transformation).
Lead discussions with clients on the value proposition of analytics, analytic methodologies, and outputs of analytic solutions.
Develop documentation / guides for analytics usage and maintenance.
Qualifications:
A minimum of three years of data engineering / analytics experience.
Bachelor's degree from an accredited college / university.
Design / implement scalable, reliable, and high-performance data solutions on AWS using Databricks, ensuring alignment with business objectives and technical requirements.
Develop end-to-end data pipelines, data warehousing, and analytics solutions leveraging Databricks and AWS services such as S3, Redshift, Glue, and Lambda.
Hands-on experience data engineering, cloud architecture, or related fields with a focus on AWS and Databricks.
Strong understanding of data modeling, ETL processes, and data warehousing concepts.
Proficiency in programming languages such as Python, Scala, SQL.
Familiarity with development tools and methodologies (e.g. Agile, GIT, test driven development, CI/CD release management).
Ability to travel as required to support firm engagements.
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.
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. 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.
#J-18808-Ljbffr
Senior Specialist, Federal Data Engineer
Requisition Number:
117456 - 48
Function:
Advisory
Area of Interest:
State:
MO
City:
Saint Louis
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 to join our Federal Advisory practice.
Responsibilities:
Develop code to prepare, extract, and enrich a variety of structured and unstructured data sources, working with the business to understand available resources / constraints around data.
Create production quality data pipelines and Machine Learning pipelines that can be deployed at scale.
Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains (risk management, product development, marketing research, supply chain, public policy).
Support leading teams in the development of client solutions utilizing analytics, exploratory data analysis, data wrangling, and ETL.
Provide oversight, scoping, technical assistance, and quality control over the development of analytics solutions using analytics / data wrangling tools (e.g. Python, R, SQL, SAS).
Perform operations to prepare data for analysis (e.g. data cleansing, data integration, data transformation).
Lead discussions with clients on the value proposition of analytics, analytic methodologies, and outputs of analytic solutions.
Develop documentation / guides for analytics usage and maintenance.
Qualifications:
A minimum of three years of data engineering / analytics experience.
Bachelor's degree from an accredited college / university.
Design / implement scalable, reliable, and high-performance data solutions on AWS using Databricks, ensuring alignment with business objectives and technical requirements.
Develop end-to-end data pipelines, data warehousing, and analytics solutions leveraging Databricks and AWS services such as S3, Redshift, Glue, and Lambda.
Hands-on experience data engineering, cloud architecture, or related fields with a focus on AWS and Databricks.
Strong understanding of data modeling, ETL processes, and data warehousing concepts.
Proficiency in programming languages such as Python, Scala, SQL.
Familiarity with development tools and methodologies (e.g. Agile, GIT, test driven development, CI/CD release management).
Ability to travel as required to support firm engagements.
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.
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. 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.
#J-18808-Ljbffr