Remote opportunity at
Talent Inc.Data Engineer
Talent Inc. is expanding its operations in the career services sector and seeking a temporary Data Engineer for a remote assignment lasting three to six months.…
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About This Role
Talent Inc. is expanding its operations in the career services sector and seeking a temporary Data Engineer for a remote assignment lasting three to six months. This position suits an experienced engineering professional eager to shape enterprise data infrastructure, manage scalable storage systems, and enable data-informed decisions throughout the company. The person in this role will focus heavily on building and supporting reliable data pipelines, establishing structured data transformations, and…
Job Description
Talent Inc. is expanding its operations in the career services sector and seeking a temporary Data Engineer for a remote assignment lasting three to six months. This position suits an experienced engineering professional eager to shape enterprise data infrastructure, manage scalable storage systems, and enable data-informed decisions throughout the company. The person in this role will focus heavily on building and supporting reliable data pipelines, establishing structured data transformations, and maintaining high standards for data hygiene.
As part of the engineering group, the incoming specialist will collaborate closely with product managers, analysts, and data scientists to fulfill organizational data requests. Daily duties center on developing multi-stage data architectures, utilizing modern transformation frameworks, and introducing rigorous verification methods to guarantee data dependability. Candidates should possess a strong background in data engineering principles, along with hands-on familiarity handling complex ingestion processes and modern cloud warehousing environments.
Responsibilities
- Design, construct, and maintain multi-stage data warehouse infrastructure using Snowflake
- Build and manage ELT pipelines for ingesting, transforming, and loading information from diverse sources
- Implement and optimize dbt for data modeling, transformation, and documentation
- Deploy data testing procedures including unit tests, integration tests, and validation checks
- Collaborate with data scientists, analysts, and product managers to support data needs
- Monitor emerging data engineering technologies and industry best practices for continuous innovation
Requirements
- Minimum of five years of professional experience in data engineering
- Expertise in Snowflake data warehousing technologies
- Proficiency with dbt for data transformation and modeling
- Expertise in data ingestion using both user interface tools and code-based methods
- Experience working with data orchestration tools such as Airflow or Prefect
- Familiarity with data governance, data quality standards, and compliance
- Knowledge of testing methodologies and tools for data validation
- Programming proficiency in SQL, Python, or Go
- Communication and teamwork abilities
Qualifications
- Bachelor degree in Computer Science, Data Engineering, or a related discipline
- Master degree in a related technical field
Core Skills
Frequently Asked Questions
Is this position remote?
Yes, this role is 100 percent remote.
What is the employment type and duration?
This is a temporary position lasting between three to six months.
What salary does this job offer?
The posting does not specify a salary for this role.
What are the core technical requirements?
Candidates must have at least five years of data engineering experience, expertise in Snowflake and data ingestion, proficiency in dbt and programming languages like SQL, Python, or Go, and familiarity with orchestration and data governance.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.