Senior Financial Management Data Engineer

Guidehouse; McLean (VA); On-site; USD 113,000 - 188,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

Parental Leave and Adoption Assistance

401(k) Retirement Plan

Mobility Stipend

Job summary

Guidehouse is seeking a Data Engineer to join our Defense and Security Segment in the United States. You will collect, transform, and analyze data to support DHS programs, enabling improved decision-making across financial and IT domains.

You will ingest data from APIs and databases, build integration frameworks, and apply PySpark, ML, and advanced analytics to derive actionable insights for client missions. Collaboration with cross-functional teams is essential.

Qualifications

• Bachelor's degree in a data-related field.
• 3+ years of data experience.
• Proficiency with SQL, Python, R, and Databricks.
• Experience with data ingestion and integration.
• Knowledge of data governance and quality standards.

Responsibilities

• Ingest, integrate, and analyze data from multiple sources.
• Develop data ingestion solutions using APIs and databases.
• Ensure data governance and quality standards.
• Collaborate with clients and internal teams.
• Leverage PySpark for data processing and ML insights.

Skills

SQL

Python

PySpark

Machine learning

Data governance

Data analysis

Databricks

R

APIs

Education

Bachelor's degree

Tools

Databricks

Power BI

Power Apps

Power Automate

SharePoint

Azure

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.

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.