Data Engineering / Scientist Consultant

Guidehouse
Mc Lean, VA
Full-time

Job Family :

Operational Effectiveness Consulting

Travel Required : Up to 10%

Up to 10%

Clearance Required :

Ability to Obtain Public Trust

What You Will Do :

Guidehouse is seeking a Data Engineer to join our Defense and Security Segment, where the individual will collect, transform, integrate, and analyze data in support of organizational and mission goals, and support decision-making for financial management and information technology programs within the Department of Homeland Security (DHS).

Responsibilities include, but are not limited to :

  • Accessing data sources, establishing data connections, and pre-processing data for analysis
  • Aggregate, clean and organize datasets from disparate sources and perform quality assurance of these tasks
  • Manipulating large data sets, data mining, and structuring of raw data using open sources tools such as SQL and Python to formulate or recognize patterns to generate new information and unlock information and insights that help the organization drive decision making
  • Designing data modeling processes, creating algorithms and predictive models, and performing ad hoc / exploratory data analysis to support data-driven decision making, including use of advanced analytics techniques such as predictive modeling and machine learning
  • Ensuring data governance and quality assurance standards are met
  • Help define data quality metrics associated with the quality of data ingested into Databricks
  • Organizing and leading client meetings, including scheduling meetings; drafting and delivering agendas and meeting minutes;

providing and archiving required documentation; and documenting, tracking, and following-up on action items

Delivery of client services, while also supporting business development, internal firm initiatives, and ongoing professional development

What You Will Need :

  • US Citizenship and the ability to obtain and maintain a federal Public Trust
  • Bachelor's degree is required
  • THREE (3) or more years of data experience
  • Experience in performing data analytics to address management and operational challenges
  • Advanced proficiency in data analytics programming languages and tools such as SQL, Python, and Databricks
  • Proficiency in Microsoft Suite, especially MS PowerPoint, MS Word, and MS Excel
  • Prior experience with statistical analysis, predictive modelling, machine learning, and artificial intelligence
  • Proficiency in creating artificial intelligence / machine learning models
  • Proficiency in AWS software including AWS Sagemaker, Kendra, Glue, RDS, Athena, Aurora, and / or Bedrock
  • Prior experience working on Agile teams
  • Collaborating and working in a team environment, as well as the ability to work independently
  • Identifying and addressing client needs, building relationships with clients, demonstrating flexibility in prioritizing and completing tasks, communicating potential conflicts to a supervisor
  • Communicating effectively to various audiences, including various levels of management and external clients, in a professional environment
  • Ability to facilitate meetings and present topics to diverse groups of functional and technical staff
  • Ability to commute to client or corporate offices within the Washington, DC metropolitan area 2-3 days per week.

What Would Be Nice To Have :

  • Master's degree
  • Ten (10) or more years of data experience
  • Strong quantitative and qualitative analytical background
  • Strong verbal and written communication skills
  • Strong organizational skills
  • Strong problem-solving skills
  • Experience in commercial or public sector consulting firms
  • Prior experience supporting federal finance organizations
  • Intermediate proficiency in Tableau dashboard development

What We Offer :

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include :

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental / Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at redacted or via email at RecruitingA redacted .

All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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