Data Engineer

Talent Inc.; United States; On-site; USD 83,000 - 138,000; Full time

Job summary

Talent Inc. is seeking a Data Engineer for a 3-6 month remote assignment. You will design and maintain a multi-stage data warehouse (Snowflake) and ELT pipelines, implement dbt, and collaborate with data scientists and product teams.

The role requires 5+ years in data engineering, expertise in Snowflake, dbt, and data governance. Strong SQL/Python/Go skills and knowledge of Airflow or Prefect are essential. This contract offers remote work from the United States.

Qualifications

• 5+ years of experience in data engineering.
• Proficiency with Snowflake data warehousing technologies.
• Proficiency in dbt for data transformation and modeling.
• Experience with data ingestion using UI tools and code-based approaches.
• Experience with orchestration (Airflow, Prefect).
• Experience with data governance, data quality, and compliance.
• Knowledge of data testing methodologies and tools.
• Strong programming skills in SQL, Python, or Go.

Responsibilities

• Data Warehouse Management: design, build, and maintain a robust multi-stage data warehouse, focusing on Snowflake, ensuring scalability, performance and data integrity.
• Manage efficient ELT pipelines to ingest, transform, and load data from various sources into the data warehouse.
• DBT Integration: implement and optimize dbt for data transformation, modeling, and documentation, ensuring data accuracy and consistency.
• Data Testing: implement comprehensive data testing procedures, including unit tests, integration tests, and validation checks.
• Collaboration: work closely with data scientists, analysts, and product managers to understand data requirements and provide actionable insights.
• Stay Current: stay up-to-date with emerging data engineering technologies and best practices to drive continuous improvement.

Skills

Data warehousing

ETL/ELT pipelines

SQL

Python

Go

Data governance

Data quality

Collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

dbt

Airflow

Prefect

Job description

THE COMPANY

We’re rapidly growing and looking for driven, customer-obsessed professionals to help our team revolutionize the career services industry.

We’re committed to helping job seekers write the next chapter of their careers and we want to help write yours, too! We hire for growth and longevity because we value the happiness and well-being of our employees.

THE ROLE

As a Data Engineer, you will play a critical role in shaping our data infrastructure and driving data-driven decision-making across the organization. We are seeking a talented and experienced individual with strong engineering principles and a deep understanding of data warehousing, data governance, and modern data engineering tools.

THIS is a 3-6 month temporary role and is 100% remote.

THE KEY RESPONSIBILITIES

• Data Warehouse Management: Design, build, and maintain a robust multi-stage data warehouse infrastructure, with a focus on Snowflake, ensuring scalability, performance, and data integrity.
• Manage efficient ELT pipelines to ingest, transform, and load data from various sources into the data warehouse.
• DBT Integration: Implement and optimize dbt (data build tool) for data transformation, modeling, and documentation, ensuring data accuracy and consistency.
• Data Testing: Implement comprehensive data testing procedures, including unit tests, integration tests, and validation checks, to ensure data accuracy and reliability.
• Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and product managers, to understand data requirements and provide actionable insights.
• Stay Current: Stay up-to-date with emerging data engineering technologies and best practices to drive continuous improvement and innovation within the team.

THE MUST-HAVES

• 5+ years experience in data engineering
• Strong expertise in Snowflake data warehousing technologies.
• Proficiency in dbt for data transformation and modeling
• Strong expertise in data ingestion with both UI tools & code-based ones
• Experience with orchestration (Airflow, Prefect).
• Experience with data governance, data quality, and compliance.
• Knowledge of data testing methodologies and tools.
• Strong programming skills in languages such as SQL, Python, or Go.
• Excellent communication and collaboration skills.

THE NICE-TO-HAVES

• Bachelor's degree in Computer Science, Data Engineering, or a related field. Master's degree preferred.

We believe that diversity in thought and cultural background leads to better teams and stronger companies. We seek talented, qualified employees, regardless of race, color, sex/gender (including pregnancy, gender identity, and gender expression), national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. We are proud to be an Equal Employment Opportunity Employer.

Come join our team. Together, we’ll help others tell their career stories and land their dream jobs.