Data Engineer

🕒 July 22

🇺🇸 United States – Remote

💵 $77k - $129k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Guidehouse

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2018

🏥 Healthcare

🎖️ Defense

📦 Logistics

💰 Grant on 2023-02

Healthcare • Defense • Logistics

Guidehouse is a global consultancy offering advisory, digital, and managed services across commercial and public sectors. It is purpose-built to support industries such as national security, financial services, healthcare, energy, and infrastructure. Guidehouse collaborates with leaders to navigate complexity and drives transformational changes that impact the future. Their expertise spans data analytics, digital technologies, risk management, and more, with a strong emphasis on sustainability and innovation.

📋 Description

• Review and support the client’s data policies, processes, and standards to identify strengths and areas for improvement • Provide recommendations for the current and future architecture to support data and analytical needs • Collect, transform, integrate, and analyze data to identify trends and assess performance • Develop visualizations in support of organizational and mission goals and data-driven decision-making for the client • Develop and maintain data governance documentation, tools, and templates • Define data requirements and ensure coherence of 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

🎯 Requirements

• ACTIVE and MAINTAINED SECRET Federal or DoD security clearance • Bachelor's degree • THREE (3) years’ experience in hands-on data engineering and/or database management • 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 • SIX (6) years’ experience in hands-on data engineering and/or database management (Nice to Have) • Knowledge of Archibus and/or Kahua (Nice to Have) • Proficiency in querying and joining datasets using SQL (Nice to Have) • Proficiency in data wrangling and analysis using Python (Nice to Have) • Proficiency developing dashboards using Tableau or Power BI (Nice to Have)

🏖️ 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