Senior Data Engineer

Ladders; United States; Remote; USD 130,000 - 155,000; Full time

Benefits offered by this job

Remote work flexibility

Mentorship and professional developp.

Travel reimbursement for business

Access to cutting-edge cloud tech

Job summary

Ladders is seeking a Senior Data Engineer to design and scale a cloud-native data platform for analytics and decision-making. You will build robust batch and streaming pipelines, enhance data quality and governance, and partner with cross-functional teams to improve platform performance.

The role emphasizes Google Cloud Platform with BigQuery and dbt, SQL and Python proficiency, and infrastructure as code using Terraform.

Qualifications

• 5+ years of data engineering experience or relevant work experience.
• Bachelor's degree in CS, Engineering, Information Systems, or related field.
• Proficiency in Google Cloud Platform, BigQuery and dbt.
• Strong SQL and Python skills.
• Experience with batch and streaming pipelines using Airflow/Cloud Composer.
• Infrastructure as Code with Terraform.
• Familiarity with Pub/Sub, Dataflow, and Kubernetes on GCP.

Responsibilities

• Design and build a scalable, cloud-native data platform.
• Develop batch and streaming pipelines and transformation models.
• Create data models that meet quality and governance standards.
• Implement IaC and maintain CI/CD pipelines.
• Establish automated testing and monitoring practices.
• Monitor platform performance and troubleshoot issues.
• Collaborate with cross-functional teams on architecture and documentation.

Skills

Cloud-native engineering

SQL

Python

Airflow/Cloud Composer

Terraform

BigQuery

dbt

Education

Bachelor's degree in CS/Engineering/Information Systems

Tools

Terraform

GCP

Airflow/Cloud Composer

BigQuery

dbt

Job description

For our client, we are seeking a Senior Data Engineer to join the team of a leader in the Manufacturing & Automotive space. This role will focus on designing and scaling modern data infrastructure that supports reliable analytics, reporting, and operational decision-making. You will build robust batch and streaming pipelines, strengthen data quality and governance, and partner closely with technical and cross-functional stakeholders to improve platform performance. The position also emphasizes cloud-native engineering, automation, and the creation of dependable data solutions that can support business growth.

Location: Remote

Compensation: $130,000 – $155,000 annually

Responsibilities

• Design and optimize a scalable, cloud-native data platform
• Build batch and streaming data pipelines and transformation models
• Develop data models that support quality and governance standards
• Implement Infrastructure as Code and maintain CI/CD pipelines
• Establish automated testing and monitoring practices
• Monitor platform performance and troubleshoot production issues
• Collaborate with cross-functional teams on architecture and documentation

Qualifications

• Minimum of 5 years of data engineering experience or relevant work experience
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
• Proficiency in cloud-native solutions on Google Cloud Platform, particularly BigQuery and dbt
• Strong SQL and Python programming skills
• Experience with batch and streaming data pipeline development using Apache Airflow or Cloud Composer
• Skilled in Infrastructure as Code using Terraform
• Familiarity with Google Cloud services including Pub/Sub, Dataflow, and Kubernetes

Benefits

• Remote work flexibility
• Opportunities for mentorship and professional development
• Travel reimbursement for business-related expenses
• Potential for a corporate credit card based on travel needs
• Access to cutting-edge cloud technologies and data solutions

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.