Data Engineer

Placements24; Queenstown (MD); Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Full remote work opportunities

Medical, dental, vision insurance

Professional development budget

Work with cutting-edge big data tech

Collaborative culture

Job summary

Placements24 is seeking a Data Engineer to join a fully remote team, supporting data infrastructure and pipelines that enable analytics across the organization. You will work with large datasets, design ETL processes, and ensure data availability and integrity for stakeholders.

The ideal candidate has 3–5 years in data engineering, expertise in SQL and data warehousing (Snowflake/Redshift/BigQuery), and hands-on experience with cloud platforms (AWS/Azure/GCP).

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
• 3-5 years of experience in data engineering or a similar role.
• Proficiency in SQL and experience with relational and non-relational databases.
• Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery).
• Heads-on experience with cloud platforms (AWS, Azure, GCP) and data services.
• Familiarity with programming languages such as Python or Scala for data manipulation.

Responsibilities

• Design, build, and maintain scalable and reliable data pipelines for batch and real-time data processing.
• Develop and optimize ETL/ELT processes using various data integration tools and technologies.
• Manage and maintain data warehouse solutions, ensuring data quality, consistency, and accessibility.
• Collaborate with data scientists and analysts to understand their data needs and provide reliable data sources.
• Implement data governance policies and ensure compliance with data privacy regulations.
• Monitor data systems, troubleshoot issues, and implement performance improvements.

Skills

SQL proficiency

Python/Scala

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Snowflake

Redshift

BigQuery

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a skilled Data Engineer to join their remote team, supporting their data infrastructure and initiatives that may impact operations in areas like Queenstown. This role is central to building and optimizing our data pipelines and systems, enabling analytics and business intelligence across the organization. You will work with large datasets, design ETL processes, and ensure the availability and integrity of data for various stakeholders. The ideal candidate has a strong background in data warehousing, ETL, and cloud data services, and is adept at creating scalable and efficient data solutions in a fully remote environment.

Key Responsibilities

• Design, build, and maintain scalable and reliable data pipelines for batch and real-time data processing.
• Develop and optimize ETL/ELT processes using various data integration tools and technologies.
• Manage and maintain data warehouse solutions, ensuring data quality, consistency, and accessibility.
• Collaborate with data scientists and analysts to understand their data needs and provide them with reliable data sources.
• Implement data governance policies and ensure compliance with data privacy regulations.
• Monitor data systems, troubleshoot issues, and implement performance improvements.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
• 3-5 years of experience in data engineering or a similar role.
• Proficiency in SQL and experience with relational and non-relational databases.
• Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery).
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and data services.
• Familiarity with programming languages such as Python or Scala for data manipulation.

Benefits

• Competitive salary and performance-based incentives.
• Full remote work opportunities, providing ultimate flexibility.
• Comprehensive medical, dental, and vision insurance plans.
• Professional development budget for courses, certifications, and conferences.
• Opportunity to work with cutting-edge big data technologies.
• A culture that emphasizes collaboration, continuous learning, and innovation.