Senior Data Engineer: Build Scalable Cloud Data Platforms

Guidehouse; San Antonio (TX); On-site; USD 80,000 - 133,000; Full time

Benefits offered by this job

Medical Insurance

401(k) Plan

Paid holidays

Job summary

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience building scalable data ecosystems, strong software engineering fundamentals, and the ability to lead technical efforts while collaborating with multidisciplinary teams to deliver mission-critical data solutions.

The role emphasizes creating scalable data pipelines, data models, and cloud-native platforms

Qualifications

• US Citizenship or Green Card required and must be able to obtain and maintain a public trust.
• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related field.
• Three or more years in data engineering, software engineering, analytics engineering, or a related discipline.
• Experience in Python, SQL, and data processing frameworks such as Spark or PySpark.
• Experience designing, developing, and supporting production‑grade data pipelines and ETL/ELT processes.
• Experience working with relational and non-relational databases, including data modeling and query optimization.
• Experience with cloud platforms such as AWS and/or Azure.
• Experience with Databricks, Snowflake, or similar large‑scale data processing environments.
• Experience implementing CI/CD pipelines and version control using Git/GitHub/GitLab/Jenkins/Azure DevOps.
• Experience implementing data quality, monitoring, and operational support processes.
• Experience working within Agile software development environments.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting analytics, reporting, and operational workloads.
• Build and optimize data architectures, data models, and storage solutions across cloud and hybrid environments.
• Develop and maintain data engineering solutions using Python, SQL, Spark, and related technologies.
• Implement and support cloud‑native data platforms leveraging AWS, Azure, Databricks, and other modern technologies.
• Design and implement CI/CD pipelines and DevOps best practices for data engineering workflows.
• Collaborate with architects, developers, analysts, and business stakeholders to translate requirements into technical solutions.
• Lead data integration, migration, and modernization initiatives, including legacy system transformation efforts.
• Ensure data quality, integrity, security, and governance standards are incorporated into solution designs.
• Monitor, troubleshoot, and optimize data pipelines and production environments to ensure reliability and performance.
• Mentor junior data engineers and support technical knowledge sharing across project teams.
• Contribute to technical architecture discussions, technology evaluations, and engineering best practices.
• Develop and maintain technical documentation including data flows, system designs, deployment procedures, and operational guides.

Skills

Python

SQL

Spark

ETL/ELT

CI/CD

Cloud platforms

Data modeling

Mentoring

Team collaboration

Data governance

Education

Bachelor's degree in Computer Science/Engineering/Math/Data Science

Tools

Databricks

Git

Jenkins

Azure DevOps

Terraform

Docker

Kubernetes

Job description

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience building scalable data ecosystems, strong software engineering fundamentals, and the ability to lead technical efforts while collaborating with multidisciplinary teams to deliver mission-critical data solutions.

The role emphasizes creating scalable data pipelines, data models, and cloud-native platforms