Data Engineer

Black Canyon Consulting is looking for a Data Engineer in Washington, DC to design, develop, and maintain data infrastructure that supports AI/ML and analytical workloads. This onsite role focuses on building data pipelines that are reliable, accessible, scalable, and operationally ready from ingestion through deployment.

In this position, you will help deliver end-to-end data capability for downstream teams by implementing ETL and ELT workflows, managing data platform integrations, and ensuring data quality through validation and testing processes.

Responsibilities

• Design, implement, and maintain scalable data pipelines supporting analytical and AI/ML workloads
• Build, monitor, troubleshoot, and optimize ETL and ELT data pipelines
• Develop workflows for ingesting, transforming, processing, and delivering data
• Configure and integrate databases, data lakes, data warehouses, feature stores, and other data platforms
• Develop and maintain data transformation and feature engineering processes
• Ensure data reliability, accessibility, quality, and operational readiness
• Develop APIs and service layers to expose data or model endpoints to downstream applications and systems
• Collaborate with data scientists, software engineers, analysts, and other technical teams to support data requirements
• Monitor pipeline performance and resolve data processing or integration issues
• Implement processes to validate data accuracy, completeness, and consistency
• Support deployment and operation of data infrastructure throughout the system lifecycle
• Identify opportunities to improve pipeline scalability, performance, maintainability, and efficiency
• Document data pipelines, integrations, transformations, and technical processes

Requirements

• Experience designing, developing, and maintaining data pipelines
• Experience building and optimizing ETL and/or ELT workflows
• Experience working with relational and/or non-relational databases
• Experience integrating databases, data lakes, data warehouses, or similar data platforms
• Experience developing data transformation workflows
• Experience supporting data used for analytical, AI, or machine learning workloads
• Experience developing or integrating APIs and service layers
• Strong understanding of data reliability, accessibility, quality, and operational readiness
• Experience monitoring, troubleshooting, and optimizing data pipelines
• Understanding of data modeling and data architecture principles
• Strong programming and problem-solving skills
• Ability to work collaboratively with software engineers, data scientists, analysts, and other technical stakeholders

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• 401k plan with employer contribution
• Paid holidays
• Vacation
• Tuition reimbursement

Experience Requirements by Level

• Senior: 8+ years of relevant experience
• Mid-Level: 5+ years of relevant experience
• Junior: 3+ years of relevant experience

Desired Skills

• Experience supporting machine learning or artificial intelligence environments
• Experience developing feature engineering workflows or working with feature stores
• Experience designing data infrastructure for high-volume or distributed systems
• Experience with cloud-based data platforms and infrastructure
• Experience developing APIs that expose data, analytical results, or model endpoints
• Experience with automated data pipeline monitoring and alerting
• Experience optimizing data pipelines for performance, reliability, and scalability
• Experience working with modern data lakehouse or warehouse architectures
• Experience implementing data validation, testing, and quality controls