Data Engineer IV

Crystal Equation Corporation; California (MO); Hybrid; USD 134,000 - 141,000; Part time

Benefits offered by this job

Paid time off

Medical/dental/vision/life insurance

401K

Parental leave

Job summary

Crystal Equation Corporation is seeking a Data Engineer IV for a remote, temporary assignment to support data infrastructure and analytics initiatives, collaborating with cross-functional teams to deliver high-quality data solutions. This is a contingent worker position, not a full-time opportunity.

Responsibilities include designing and maintaining scalable ETL pipelines, ensuring data quality and security, building dashboards, leveraging AI-native tools, and documenting workflows to promote

Qualifications

• Bachelor's degree or equivalent practical experience.
• Experience building and maintaining ETL pipelines.
• Proficiency in SQL and at least one programming language (Python/Java/Scala).
• Experience with data warehousing solutions and cloud platforms (AWS, Azure, GCP).
• Strong problem-solving and collaboration skills.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Collaborate with data scientists, analysts, and engineers to deliver reliable data solutions.
• Ensure data quality, integrity, and security; implement automated monitoring and anomaly detection.
• Develop dashboards and reporting solutions to support product goal tracking and decision-making.
• Leverage AI-native tools to accelerate data engineering velocity.
• Troubleshoot and resolve data-related issues; document workflows and practices.

Skills

SQL proficiency

Programming in Python/Java/Scala

Strong problem-solving

Excellent communication

Education

Bachelor's degree in CS/Engineering/Math or equivalent

Tools

Snowflake

Redshift

BigQuery

AWS

GCP

Azure

Job description

Data Engineer IV Remote Summary

Our company is seeking a skilled Data Engineer for a temporary assignment. In this role, you will support our data infrastructure and analytics initiatives, working with cross-functional teams to deliver high-quality data solutions. This is a contingent worker position, not a full-time employment opportunity.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Collaborate with data scientists, analysts, and engineering teams to deliver reliable data solutions.
• Ensure data quality, integrity, and security across all data systems; implement automated monitoring and anomaly detection.
• Develop dashboards and reporting solutions that support product goal tracking and decision-making.
• Leverage and develop AI-native tools and workflows to accelerate data engineering velocity.
• Troubleshoot and resolve data-related issues in a timely manner.
• Document data workflows, processes, and best practices, contributing to a culture of knowledge sharing and operational excellence.

Requirements

• Bachelors degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
• Proven experience in data engineering, including building and maintaining ETL pipelines.
• Proficiency in SQL and at least one programming language (e.g., Python, Java, or Scala).
• Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) and cloud platforms (e.g., AWS, GCP, Azure).
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.

Pay

Pay range is $97- $102 per hour.

Benefits

• paid time off
• medical/dental/vision/life insurance
• 401K
• parental leave
• and more

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