Data Engineer

About

The Data Engineer will join a dynamic team supporting a global implementation of IT systems at the Department of State. In this role, the candidate will review and support the client’s data policies, processes, and standards to identify strengths and areas for improvement and provide recommendations for the current and future architecture to support data and analytical needs. The candidate will also collect, transform, integrate, and analyze data to identify trends, assess performance, and develop visualizations in support of organizational and mission goals and data-driven decision-making for the client.

Responsibilities

• Develop and maintain data governance documentation, tools, and templates.
• Define data requirements and ensure storage, availability, and coherence of electronically stored information meets the client’s needs.
• Develop data pipelines involving collecting, transforming, cleaning, and validating data from multiple sources, using tools such as Palantir.
• Coordinate with non-technical users to gather requirements.
• Identify, summarize, and catalog data fidelity issues, and make recommendations to the client on how to resolve or mitigate the issues.
• Request, document, report, and analyze data, and where applicable, create tools and resources to support data and reporting.

Requirements

• ACTIVE and MAINTAINED SECRET Federal or DoD security clearance.
• Bachelor's degree in a relevant technical field.
• THREE (3) years’ experience in hands-on data engineering and/or database management.
• Understanding of relational database concepts and structures.
• Experience performing data blending, joining, and cleaning to ensure accurate and usable datasets using querying or data engineering software tools, such as SQL, Palantir.
• Experience using Palantir Foundry to clean, transform, and integrate complex datasets into production systems (e.g., Archibus).
• Experience reading and cleaning data from external tables and importing it into relational database tables.
• Ability to support remote, hybrid, or on-site projects in the DC metro area.

Nice to Have

• SIX (6) years’ experience in hands-on data engineering and/or database management.
• Knowledge of Archibus and/or Kahua.
• Proficiency in querying and joining datasets using SQL.
• Proficiency in data wrangling and analysis using Python.
• Proficiency developing dashboards using Tableau or Power BI.
• An acute attention to detail when reviewing tens-of-thousands of rows of data from numerous sources.
• Ability to detect data issues affecting the performance of data pipelines and devise techniques for resolving or mitigating them.
• Ability to collaborate with team members, other development groups, and users to determine and implement the best approach for all data synchronization work.
• Flexibility to take direction from team members and adjust work activities for solutioning on various data efforts.

Benefits

• 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.