Senior Financial Management Data Engineer

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

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Tuition Reimbursement

Employee Referral Program

Mobility Stipend

Job summary

Guidehouse is seeking a Data Science professional to design and implement data ingestion pipelines, aggregate and clean diverse data sources, and apply advanced analytics to support data-driven decision making. You will build data models, predictive algorithms, and lead governance and quality assurance across enterprise systems.

The role requires 3+ years of data experience, proficiency in SQL, Python, R, and Databricks, and experience with Azure/AWS cloud platforms.

Qualifications

• Bachelor's degree required and 3+ years of data experience.
• Proficiency in SQL, Python, R, and Databricks for data ingestion, cleaning, modeling, and analysis.
• Experience with statistical analysis, predictive modelling, machine learning, and AI.

Responsibilities

• Access data sources, establish connections, and develop data ingestion/ integration solutions.
• Aggregate, clean, and QA datasets from disparate sources to support analysis.
• Design data integration frameworks with business rules and crosswalks for interoperability.
• Manipulate large datasets using SQL, Python, and PySpark to identify patterns and insights.
• Design data models, create algorithms and predictive models, and conduct exploratory analysis.
• Ensure data governance and quality standards are met.
• Define data quality metrics for data ingested into Databricks.
• Organize client meetings, prepare agendas, minutes, and action-item tracking.
• Deliver client services while supporting business development and internal initiatives.

Skills

SQL

Python

R

Databricks

Machine learning

Artificial intelligence

Data governance

Education

Bachelor's degree

Tools

MS PowerPoint

MS Word

MS Excel

Power BI

Microsoft Azure

AWS

Job description

Job Family

Data Science Consulting

Travel Required

None

Clearance Required

Ability to Obtain Public Trust

What You Will Do

• 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.

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.