Senior Data Engineer: Cloud Data Platforms Lead

Guidehouse; Beavercreek (OH); On-site; USD 80,000 - 133,000; Full time

Benefits offered by this job

Medical, Dental & Vision Insurance

401(k) Retirement Plan

Tuition Reimbursement

Job summary

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The candidate will lead efforts, collaborate with multidisciplinary teams, and build scalable data ecosystems with strong software engineering foundations.

The role emphasizes Python, SQL, Spark, and cloud platforms (AWS/Azure), CI/CD, data quality, governance, and production reliability, with mentoring and documentation responsibilities across projects.

Qualifications

• U.S. Citizenship or Green Card is required and must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST".
• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related technical field.
• THREE (3) 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.

Skills

Python

SQL

Spark

Data modeling

Data pipelines

Education

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

Tools

AWS

Azure

Databricks

Snowflake

Git

CI/CD tools (GitHub, GitLab, Jenkins, Azure DevOps)

Terraform

CloudFormation

Job description

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The candidate will lead efforts, collaborate with multidisciplinary teams, and build scalable data ecosystems with strong software engineering foundations.

The role emphasizes Python, SQL, Spark, and cloud platforms (AWS/Azure), CI/CD, data quality, governance, and production reliability, with mentoring and documentation responsibilities across projects.