Financial Management Data Engineer

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

Benefits offered by this job

Medical Insurance

Rx Insurance

Dental & Vision Insurance

401(k) Retirement Plan

Life Insurance

Professional Development & Learning

Job summary

Guidehouse seeks a Data Engineer to join our AI & Data Practice in the US on the DHS Financial Management portfolio. You will ingest, clean, and integrate data from diverse sources to support decision making and reporting.

You will build data models, apply analytics and ML techniques, and ensure governance and quality across financial and operational systems while collaborating with client teams.

Qualifications

• Bachelor's degree in a related field.
• 3+ years of data experience with analytics and data engineering.
• Experience with data analytics, ML or AI is a plus.

Responsibilities

• Access data sources and develop data ingestion and integration solutions.
• Aggregate and clean datasets from diverse sources with QA.
• Design data integration frameworks for interoperability and reporting.
• Manipulate large datasets using SQL, Python, and PySpark for insights.
• Develop data models and perform exploratory analysis to support decisions.
• Ensure data governance and quality standards are met.

Skills

SQL

Python

R

Databricks

Education

Bachelor's degree

Tools

MS PowerPoint

MS Word

MS Excel

Job description

## Financial Management Data EngineerApply: US - VA, McLean: US - DC, Washington: US - VA, Arlington: US - VA, Springfield: Full time: Posted Today: 45134**Job Family:**Data Science Consulting**Travel Required:**Up to 10%**Clearance Required:**Ability to Obtain Public TrustGuidehouse is seeking a Data Engineer to join our AI & Data Practice, 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 our Department of Homeland Security (DHS) Financial Management portfolio. 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 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 SharePointThe 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