Senior Data Engineer: Build Scalable Cloud Data Pipelines

Guidehouse; Beavercreek (OH); 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.

Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related technical field.
• FOUR (4) 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 practices using Git, GitHub, GitLab, Jenkins, or 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.
• Role contingent upon contract award.

Skills

Python

SQL

Spark

AWS

Azure

Databricks

CI/CD

Git

GitHub

Terraform

Data governance

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related technical field

Tools

Git

GitHub

GitLab

Jenkins

Azure DevOps

Terraform

CloudWatch

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.

Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting