Data Engineer - Remote

## About the Role
Datalere is seeking an experienced Data Engineer Consultant to help clients design, develop, optimize, and maintain modern data infrastructure. The role focuses on SQL development, ETL and data pipelines, data modeling, dimensional modeling, data visualization, and client consultation.
This is a mainly remote, full-time position for candidates located relatively close to the Metro Denver area, with intermittent or occasional onsite work in Denver. Datalere is stack agnostic and encourages candidates with strong, classically defined data engineering experience across ETL, modeling, data pipeline development, and related builds to apply regardless of their technology stack.
## Key Responsibilities
* Design, build, and maintain scalable data pipelines and ETL processes based on client requirements.
* Develop and optimize complex SQL queries for data extraction, transformation, and loading.
* Diagnose and troubleshoot data-related issues and provide effective resolutions.
* Analyze data workflows and identify opportunities to improve performance and efficiency.
* Proactively identify potential data and infrastructure issues before they affect client operations.
* Design and implement dimensional models for data warehousing and business intelligence initiatives.
* Apply different data modeling techniques to meet business data requirements and align with data architecture.
* Develop and maintain data schemas while ensuring data integrity and consistency.
* Create and maintain dashboards and reports using data visualization tools.
* Train clients on data visualization best practices.
* Engage with clients to understand their data needs and business objectives.
* Conduct detailed requirements analysis and recommend data infrastructure improvements.
* Collaborate with client teams, data scientists, analysts, and other stakeholders.
* Provide technical support and communicate complex technical concepts clearly to non-technical stakeholders.
* Deliver high-quality data solutions aligned with client business requirements.
## Required Qualifications
* Bachelor's degree in Computer Science, Information Technology, or a related field.
* 3+ years of experience in data engineering, data warehousing, or a similar role.
* Strong proficiency in SQL.
* Proven experience with data visualization tools and related concepts.
* In-depth knowledge of dimensional modeling concepts and techniques.
* Familiarity with ETL tools and processes.
* Experience with cloud-based data platforms.
* Strong problem-solving skills and attention to detail.
* Excellent communication and collaboration skills.
* Ability to work effectively with clients and technical and non-technical stakeholders.
## Preferred Qualifications
* Experience designing and developing scalable data pipelines.
* Experience with data architecture and multiple data modeling techniques.
* Experience working directly with clients on data infrastructure and business requirements.
* Experience supporting data warehousing and business intelligence initiatives.
* Experience training clients or users on data visualization tools.
* Strong experience with classically defined data engineering practices, including ETL, modeling, data pipeline development, and related builds, regardless of specific technology stack.
## Skills & Competencies
* Data Engineering
* SQL Development
* ETL / ELT
* Data Pipelines
* Data Warehousing
* Dimensional Modeling
* Data Modeling
* Data Architecture
* Data Visualization
* Dashboard and Report Development
* Cloud Data Platforms
* Requirements Analysis
* Client Consulting
* Data Infrastructure
* Data Quality and Integrity
* Troubleshooting
* Problem Solving
* Technical Communication
* Stakeholder Collaboration
## Education & Experience
* **Education:** Bachelor's degree in Computer Science, Information Technology, or a related field.
* **Experience:** 3+ years of experience in data engineering, data warehousing, or a similar role.
* Candidates with relevant data engineering skills are encouraged to apply regardless of their specific technology stack.
## Work Arrangement & Schedule
* **Location:** Denver, CO, US
* **Work Arrangement:** Mainly Remote
* Candidates should be relatively close to the Metro Denver area.
* Intermittent or occasional onsite work in Denver should be expected.
* **Employment Type:** Full-time
## Compensation & Benefits
* **Salary:** $80,000 - $125,000 per year
* **Currency:** USD
* Benefits are not specified in the listing.
## Compliance / Additional Information
* Datalere is currently unable to sponsor or take over sponsorship of an employment visa.
* The role is intended for candidates who can meet the stated Denver-area remote and occasional onsite requirements.
* Candidates should submit a resume and cover letter indicating their interest in joining the team.
**Apply Now:** Apply for the Data Engineer Staff Consultant position to be considered for this opportunity.

Work arrangement
No