Data Engineer

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.

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