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Data Engineer
Location
Virginia
Posted
126 days ago
Salary
$85K - $141K / year
Seniority
Senior
Job Description
Data Engineer
Guidehouse
• Design, develop, and maintain robust data pipelines and ETL/ELT processes to ingest, transform, and load data from diverse structured and unstructured sources. • Build and optimize data models and data architectures to support analytics, reporting, and operational use cases. • Implement and maintain CI/CD pipelines for data engineering workflows, including data pipelines and scheduled jobs, using version control and automation tools. • Develop and deploy cloud-based data solutions, leveraging services such as object storage, serverless compute, and messaging/queueing services. • Collaborate with database administrators, analysts, and application teams to integrate data sources, design schemas, and support downstream data consumers. • Ensure data quality, integrity, and reliability through validation, monitoring, logging, and alerting. • Support data migration, integration, and modernization initiatives, including legacy system upgrades and cloud adoption efforts. • Troubleshoot and resolve issues in development and production environments to maintain stable and reliable data pipelines. • Document data flows, pipelines, and technical solutions to support knowledge sharing and compliance requirements. • Stay current with emerging tools, technologies, and best practices in data engineering and cloud platforms.
Job Requirements
- US Citizenship or a Green Card is required
- A Bachelor’s degree is required
- A minimum of 4 years of experience in data engineering, software development, or a closely related role is required.
- Proficiency in one or more programming languages commonly used in data engineering (e.g., Python, SQL, R, PySpark, or Java).
- Hands-on experience designing and building data pipelines and ETL/ELT processes leveraging commonly used ETL/ELT tools (e.g., SSIS, Databricks, Azure Data Factory)
- Strong knowledge of relational database design, data warehouses, and/or data lakes using star/snowflake schemas
- Experience working with relational and/or NoSQL databases (e.g., Oracle, Postgres, SQL Server, MongoDB).
- Experience working in a cloud environment (AWS or Azure) supporting data solutions.
- Familiarity with version control and CI/CD practices for data workflows (e.g., Git, Jenkins).
- Exposure to containerization technologies (e.g., Docker; Kubernetes is a plus).
- Experience using monitoring and logging tools to support data pipeline reliability (e.g., CloudWatch, Splunk, Kibana, Elasticsearch).
- Ability to work effectively in an Agile development environment.
- Strong analytical and troubleshooting skills, and the ability to communicate technical concepts clearly to clients, engineers, and business stakeholders.
- Ability to work independently in a fast-paced, client-facing environment.
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
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