Azure Data Engineer Finance Jobs

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Senior Financial Management Data Engineer

Guidehouse Inc. Washington, DC

Washington, DC

Today

$113k - $188k/yr Full time Senior Analytics Azure Data Engineer

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Job Description

Join Guidehouse Inc. as a Senior Financial Management Data Engineer supporting financial management and IT programs for the Department of Homeland Security (DHS). This onsite role in Washington, DC combines data engineering, governance, and analytics to help improve decision-making across financial and operational systems. In addition to impactful work, you will have access to a comprehensive benefits package and professional development support.

Salary: USD 113,000 to 188,000 per year. Travel: None.

What you will do

Access data sources, establish data connections, and develop ingestion and integration solutions using APIs, databases, file-based interfaces, and enterprise platforms.
Aggregate, clean, and organize datasets from disparate sources, and perform quality assurance on those processes.
Design and implement data integration, mapping, and standardization frameworks, including configurable business rules and data crosswalks for interoperability, reconciliation, and reporting.
Manipulate large datasets and perform data mining and structuring using open-source tools such as SQL, Python, and PySpark to identify patterns and generate new insights.
Build data modeling processes, create algorithms and predictive models, and conduct ad hoc or exploratory analysis, including advanced analytics, predictive modeling, and machine learning.
Maintain data governance and ensure data quality assurance standards are met.
Help define data quality metrics for the quality of data ingested into Databricks.
Organize and lead client meetings, including scheduling, drafting and delivering agendas and meeting minutes, archiving documentation, and tracking and following up on action items.
Deliver client services and also support business development, internal initiatives, and ongoing professional development.

Required qualifications

Ability to OBTAIN and MAINTAIN a Federal or DoD “PUBLIC TRUST”; candidates must obtain approved adjudication prior to onboarding. Active Public Trust or Suitability is preferred.
Bachelor’s degree
Three (3) or more years of data experience
Experience performing data analytics to address management and operational challenges
Proficiency with data analytics tools including SQL, Python, R, and Databricks
Proficiency in Microsoft Suite, with emphasis on MS PowerPoint, MS Word, and MS Excel
Prior experience with statistical analysis, predictive modeling, machine learning, and artificial intelligence

Technologies you may work with

SQL, Python, R, PySpark, Databricks
Microsoft PowerPoint, Microsoft Word, Microsoft Excel
APIs, databases, Microsoft Azure, AWS
Power BI, Power Apps, Power Automate, SharePoint, Microsoft Power Platform

Benefits and support

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

Nice to have

Experience collaborating in a team environment and working independently
Ability to identify and address client needs, build relationships, prioritize work, and communicate potential conflicts
Professional communication across technical and management audiences, including external clients
Experience facilitating meetings and presenting 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 Microsoft Azure, AWS, or similar environments
Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate) and SharePoint

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