Senior Data Engineer - Scalable Pipelines & Data Products

Snipebridge; Texas; On-site; USD 120,000 - 160,000; Full time

Job summary

SNIPEBRIDGE seeks a Senior Data Engineer to design and operate scalable data pipelines, turning multiple data sources into governed data products for analytics and ML. You’ll work with cross-functional teams to ensure data quality, security, and observability while optimizing costs in a fast-moving infrastructure environment.

The role combines hands-on engineering with architecture and collaboration, focusing on reliability, scalability, and near real-time insights for infrastructure performance

Qualifications

• Bachelor's degree or equivalent in CS/engineering or related field.
• 6+ years in data engineering, analytics engineering, or backend platform experience.
• Advanced SQL and Python skills; experience building production-grade pipelines.
• Experience with cloud platforms and modern data services, warehouses, or lakehouse tech.
• Working knowledge of orchestration, transformation, version control, CI/CD, testing, and data observability.
• Experience with Spark, Databricks, Kafka, dbt, Airflow, or comparable tech preferred.
• Strong system-design, troubleshooting, documentation, and stakeholder communication skills.

Responsibilities

• Design, build, test, and operate scalable batch and streaming data pipelines.
• Integrate data from operational tech, monitoring, asset, energy, financial, and enterprise platforms.
• Develop curated data models and reusable datasets for analytics, reporting, forecasting, and ML.
• Establish data-quality checks, observability, lineage, documentation, and incident-response practices.
• Optimize storage, orchestration, query performance, reliability, and cloud cost.
• Partner with analysts, software engineers, operations leaders, and SMEs to define data products.
• Review code, mentor engineers, and improve engineering standards and deployment practices.
• Apply security, privacy, access-control, and governance throughout the data lifecycle.

Skills

Advanced SQL

Python

Data pipelines

System design

Stakeholder communication

Education

Bachelor's degree

Tools

Databricks

Apache Spark

Kafka

dbt

Airflow

CI/CD

Job description

SNIPEBRIDGE seeks a Senior Data Engineer to design and operate scalable data pipelines, turning multiple data sources into governed data products for analytics and ML. You’ll work with cross-functional teams to ensure data quality, security, and observability while optimizing costs in a fast-moving infrastructure environment.

The role combines hands-on engineering with architecture and collaboration, focusing on reliability, scalability, and near real-time insights for infrastructure performance