Data Engineer

🕒 April 30

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $113k - $188k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Guidehouse

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2018

💰 Grant on 2023-02

Consulting • Digital Services • Public Sector

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

• Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines, cloud-based solutions, and analytics platforms. • Design, develop, and maintain robust data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources. • Build and optimize data architectures and models to support analytics, reporting, and operational needs. • Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git. • Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS), Azure (CosmosDB, Functions), and containerization (Docker, Kubernetes). • Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs. • Ensure data quality, integrity, and security through rigorous validation, monitoring, and logging (e.g., Splunk, CloudWatch, Kibana). • Support data migration, integration, and modernization initiatives, including legacy system upgrades and cloud adoption. • Troubleshoot and resolve issues in production environments, ensuring high availability and reliability. • Document data flows, processes, and technical solutions for knowledge sharing and compliance. • Stay current with emerging technologies and best practices in data engineering, cloud, and DevOps.

🎯 Requirements

• US Citizenship is required • Bachelor’s degree is required • Minimum FIVE (5) years of experience in data engineering, software development, or related roles. • Proficient experience with: • Programming languages (Java, Python, SQL, Pyspark); • Data pipeline and ETL development; • Database technologies (Oracle, MySQL, Postgres, SQL Server, MongoDB); • Data modeling, stored procedures, and API development (RESTful, SOAP) • Demonstrated experience with: • Cloud platforms: AWS (S3, Lambda, ECS, SQS), Azure (CosmosDB, Functions); • Containerization and orchestration (Docker, Kubernetes); • CI/CD tools (Jenkins, Maven, Git, Bitbucket, GitHub); • Monitoring and logging tools (Splunk, CloudWatch, Kibana, Elasticsearch) • Effectively operate using Agile methodologies. • Ability to work in fast-paced environment independently • Strong analytical, troubleshooting, and communication skills, including communicate complex technical concepts in salient terms to diverse audience types.

🏖️ 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