Lead Specialist, Federal Data Engineer

KPMG

$120K — $145K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience with programming languages (Python, Scala preferred)
  • Bachelor's degree from an accredited college/university
  • Skilled in ingesting, transforming, engineering, and visualizing data
  • Understanding of cloud and distributed systems principles
  • Experience with large-scale big data methods (Hadoop stack, Cloud, Kubernetes)
  • Ability to travel as needed for engagements
  • Possession or eligibility for a U.S. Government clearance

Responsibilities

  • Support leadership in developing technical content like business documents and white papers
  • Collaborate with teams to design technical architectures for government responses
  • Lead workshops and sessions to identify business opportunities in Data Science
  • Utilize best practices to execute big data analytics engagements
  • Design tools for cloud DevOps environments such as security monitoring and CI services
  • Architect, design, and optimize software systems addressing data needs

Benefits

  • Comprehensive health and dental plans
  • Vision coverage and life insurance options
  • 401(k) plans with matched contributions
  • Personal well-being benefits supporting mental health
  • Generous Paid Time Off and holiday breaks throughout the year
Full Job Description
Responsibilities:
  • Support leadership in taking lead on developing technical contents such as business development documents, white papers and technical responses and provide proficient documentation and operating guidance for clients and users of all levels
  • Collaborate with KPMG or client teams in designing and developing technical architectures and best practices required as part of KPMG technical responses to the government RFPs and RFIs including detailed methodologies / roadmaps for cloud migration and integration
  • Lead multi-disciplinary and cross functional teams, workshops, and innovation sessions with clients to identify business opportunities and design, develop, and optimize architectures to tackle the Big Data and Data Science needs for federal and local government agencies
  • Utilize processes and best practices to plan, lead, and execute delivery of big data and data analytics engagements with clients to manage risks, set expectations, and ensure high quality deliverables
  • Design tools and services useful in cloud DevOps environments such as performance monitoring, security monitoring, deployment/configuration, continuous integration/build servers, and cloud resource creation scripts
  • Rapidly architect, design, prototype, and optimize software systems to tackle Data Access, Data Management, and Data Science needs

Qualifications:
  • A minimum of five years of experience with programming languages (Python, Scala preferred) with the ability to pick up new languages and technologies quickly
  • Bachelor's degree from an accredited college/university
  • Ability to rapidly ingest, transform, engineer, and visualize data for both ad hoc and product-level (e.g., automated) data and analytics solutions
  • Understanding of cloud and distributed systems principles (load balancing, networks, scaling, in-memory vs. disk, etc.)
  • Experience with large-scale big data methods (Hadoop stack, Cloud, Kubernetes)
  • Ability to travel as required to support firm engagements
  • Applicant must possess or be eligible for a U.S. Government clearance


KPMG LLP and its affiliates and subsidiaries ("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, KPMG 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 KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two 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://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M101ADV_3_26
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.

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