Guidehouse

Senior Financial Management Data Engineer

United States · Work style not stated · Full time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerGuidehouse
  • LocationUnited States
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

Job Family:

Data Science Consulting

Travel Required:

None

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 developing data ingestion and integration solutions using APIs, databases, file-based interfaces, and enterprise platforms to support data acquisition and pre-processing for analysis.

Aggregate, clean and organize datasets from disparate sources and perform quality assurance of these tasks

Show full description

Design and implement data integration, mapping, and standardization frameworks, including configurable business rules and data crosswalks, to enable interoperability, reconciliation, and reporting across disparate financial and operational systems

Manipulating large data sets, data mining, and structuring of raw data using open sources tools such as SQL, Python, and PySpark 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:

Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.

Bachelor's degree

THREE (3) or more years of data experience

Experience in performing data analytics to address management and operational challenges

Proficiency in data analytic tools such as SQL, Python, R, 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

What Would Be Nice To Have:

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

Experience in commercial or public sector consulting firms

Prior experience supporting federal finance organizations

Experience with cloud-based platforms and services, including MicrosoftAzure, AWS, or similar cloud environments

Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate) and SharePoint

The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

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 Opportunity Employer–Protected Veterans, Individuals with Disabilities 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 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

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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Data engineer jobs in United States

ROLIVA currently lists 232 open roles like this in United States.

Employers hiring for this

  • Capital One Financial46 open roles
  • Guidehouse8 open roles
  • The Hartford7 open roles
  • General Motors6 open roles
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Top skills asked for

Listings whose description mentions each term. A mention is not a requirement.

Advertised salary for this role here

These are advertised ranges, not what people are paid.

  • USD a year, after annualising72,000–360,000 (17 listings, 14 employers)

At a glance

  • Employment typeFull time
  • SenioritySenior
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

SQL Python Excel Power BI AWS Machine learning

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