Senior Financial Management Data Engineer

Guidehouse; Washington (District of Columbia); On-site; USD 113,000 - 188,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave and Adoption Assistance

Tuition Reimbursement, Personal and 1:

Skills Development & Certifications

Employee Referral Program

Learning Opportunities

Mobility Stipend

Job summary

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 data ingestion, aggregation, QA, data modeling, and advanced analytics, using SQL, Python, and PySpark, with a focus on data

Qualifications

• Must be able to OBTAIN and MAINTAIN a PUBLIC TRUST; adjudication required prior to onboarding.
• Bachelor's degree in a related field.
• Three or more years of data experience.
• Experience in performing data analytics to address management and operational challenges.
• Proficiency in SQL, Python, R, and Databricks for analytics tasks.
• Proficiency in Microsoft Office Suite (PowerPoint, Word, Excel).
• Experience with statistical analysis, predictive modelling, ML/AI.

Responsibilities

• Collect, transform, integrate, and analyze data to support DHS programs.
• Develop data ingestion and integration solutions using APIs, databases, and file interfaces.
• Aggregate, clean, and organize datasets; perform QA across sources.
• Design data integration frameworks and data crosswalks for interoperability.
• Manipulate large datasets using SQL, Python, and PySpark; identify patterns.
• Develop data models and conduct exploratory data analysis; apply advanced analytics.
• Ensure data governance and quality standards are met.
• Specify data quality metrics for Databricks ingestion.
• Lead client meetings, document actions, and support business development.

Skills

SQL

Python

R

Databricks

Microsoft Excel

PowerPoint

Power BI

ML / predictive modelling

Data governance

Education

Bachelor's degree

Tools

Databricks

Microsoft Azure

AWS

SharePoint

Power Platform

Job description

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


• 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

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


• 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 [e-mail]. 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 [e-mail]. 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 [e-mail]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.