Data Engineer

DataJobs; Washington (District of Columbia); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401k plan with employer contribution

Paid holidays

Vacation

Tuition reimbursement

Job summary

Black Canyon Consulting is seeking a Data Engineer to design, build, and operate data pipelines powering AI/ML and analytics. This onsite role in Washington, DC focuses on reliable, scalable infrastructure from ingestion to deployment to support downstream applications.

You will implement ETL/ELT workloads, integrate data platforms, ensure data quality, and collaborate with data scientists and engineers to meet data requirements throughout the project lifecycle.

Qualifications

• Design, build, and maintain scalable data pipelines for analytics and AI/ML workloads.
• Implement and optimize ETL and ELT workflows.
• Integrate databases, data lakes, data warehouses, or similar platforms.
• Ensure data reliability, accessibility, quality, and readiness for analysis and ML.

Responsibilities

• Design, implement, and maintain scalable data pipelines for analytical and AI/ML workloads.
• Build, monitor, troubleshoot, and optimize ETL and ELT data pipelines.
• Create workflows to ingest, transform, process, and deliver data.
• Configure and integrate databases, data lakes, data warehouses, feature stores, and related data platforms.
• Develop and maintain data transformation and feature engineering processes.
• Maintain data reliability, accessibility, quality, and operational readiness.
• Develop APIs and service layers that expose data to downstream applications and systems.
• Collaborate with data scientists, software engineers, analysts, and other technical teams to meet 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 across the system lifecycle.
• Identify improvements to scalability, performance, maintainability, and efficiency.
• Document data pipelines, integrations, transformations, and technical processes.

Skills

Data pipelines

ETL/ELT

Databases

APIs

Data reliability

Monitoring pipelines

Data modeling

Programming

Collaboration

Tools

Data lakes

Data warehouses

Feature stores

Job description

Black Canyon Consulting is hiring a Data Engineer to help build and run data infrastructure that powers AI/ML and analytics use cases. In this onsite role in Washington, DC, you will design reliable, accessible, scalable data pipelines from ingestion through deployment, supporting downstream applications and teams that rely on dependable data.

You will be responsible for implementing and maintaining ETL and ELT workflows, integrating multiple types of data platforms, and ensuring the operational readiness and quality of data used for analytical, AI, or machine learning workloads.

What you'll do

• Design, implement, and maintain scalable data pipelines for analytical and AI/ML workloads
• Build, monitor, troubleshoot, and optimize ETL and ELT data pipelines
• Create workflows to ingest, transform, process, and deliver data
• Configure and integrate databases, data lakes, data warehouses, feature stores, and related data platforms
• Develop and maintain data transformation and feature engineering processes
• Maintain data reliability, accessibility, quality, and operational readiness
• Develop APIs and service layers that expose data or model endpoints to downstream applications and systems
• Collaborate with data scientists, software engineers, analysts, and other technical teams to meet 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 across the system lifecycle
• Identify improvements to scalability, performance, maintainability, and efficiency
• Document data pipelines, integrations, transformations, and technical processes

What you'll bring

• 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 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 collaborate with software engineers, data scientists, analysts, and other technical stakeholders

Experience level

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

Benefits

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