Data Engineer

Black Canyon Consulting; Washington (District of Columbia); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401k plan with employer contribution

Paid holidays and vacation

Tuition reimbursement

Job summary

Black Canyon Consulting seeks a Data Engineer to design, develop, and maintain data infrastructure that powers AI, machine learning, and analytical workloads. You will build scalable pipelines, ETL/ELT workflows, and APIs across databases, data lakes, and warehouses to ensure reliable data for analytical systems.

The role collaborates with software engineers, data scientists, and analysts to optimize data quality, availability, and performance.

Qualifications

• Experience designing, developing, and maintaining data pipelines.
• Experience building and optimizing ETL/ELT workflows.
• Experience with relational and/or non-relational databases.
• Experience integrating databases, data lakes, data warehouses, or similar data platforms.
• Experience supporting data for analytics, AI, or ML 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.

Responsibilities

• Design, implement, and maintain scalable data pipelines for analytical and AI/ML workloads.
• Build, monitor, troubleshoot, and optimize ETL and ELT data pipelines.
• Develop workflows for ingesting, transforming, processing, and delivering data that supports downstream systems.
• 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.

Skills

Data pipelines

ETL/ELT workflows

Databases

Data platforms

AI/ML data usage

APIs/service layers

Data reliability/quality

Pipeline monitoring

Data modeling/architecture

Programming

Cross-functional collaboration

Job description

Black Canyon Consulting (BCC) is searching for a Data Engineer to support the design, development, and maintenance of data infrastructure that enables artificial intelligence, machine learning, and analytical workloads. The Data Engineer will help ensure that data is reliable, accessible, scalable, and operationally ready throughout the full lifecycle from ingestion through deployment.

Job Description

The Data Engineer will design, implement, maintain, and optimize data pipelines, APIs, data transformation workflows, and supporting infrastructure. This position will work with databases, data lakes, data warehouses, feature stores, and other data platforms to ensure information can be efficiently ingested, transformed, accessed, and used by analytical and AI-enabled systems.

The Data Engineer will also develop and maintain ETL/ELT processes, feature engineering workflows, and service layers that expose data or model endpoints to downstream systems and applications.

Required Skills

• 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 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

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

Job 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

Benefits and Salary

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Black Canyon Consulting's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.