Data Engineer

Latitude IT Solutions | SDVOSB

. Design and govern secure Google Cloud Platform architectures for a federal health customer.

Posted 10/6/2026full-timeRemote • United StatesMid-LevelSenior💰 $142,000 - $158,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and governing secure Google Cloud Platform architectures, with a strong focus on building and optimizing data pipelines for analytics and machine learning. Proficient in applying governance and security standards while leading technical teams and ensuring data quality.

Highest-signal resume keywords

Google Cloud Platform ArchitectureData Engineering StandardsBigQuerySQLPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData TransformationDistributed Data ProcessingData ModelingBatch and Streaming Data PipelinesSchema ValidationAutomated TestingCloud MonitoringCloud LoggingTerraform

Soft Skills

Technical LeadershipTeam CollaborationCommunication

Tools & Technologies

Cloud StorageDataflowDataprocPub/SubCI/CD

Industry Keywords

Federal Health CustomerGovernance StandardsIAMEncryptionData MaskingAuditingPublic Trust

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPythonSQLTerraform

About the role

Key responsibilities & impact

Design and govern secure Google Cloud Platform architectures for a federal health customer.
Work with system administrators, application teams, and project teams to operate, modernize, and migrate applications in the cloud.
Set the technical direction for new workloads.
Build, maintain, and optimize batch and streaming data pipelines on Google Cloud supporting analytics and machine learning.
Ingest data from APIs, databases, SaaS systems, streaming feeds, and files, transform it, and deliver curated datasets in BigQuery.
Build data quality rules, schema validation, and automated tests into pipelines.
Monitor pipeline health with Cloud Monitoring and Cloud Logging.
Apply governance and security standards, including IAM, encryption, data masking, and auditing.
Maintain pipeline infrastructure with Terraform and CI/CD.
Provide technical direction on data engineering standards, lead code reviews, and document datasets, transformations, and operating procedures.

Requirements

What you’ll need

Bachelor's degree in computer science, software engineering, information systems, data engineering, or a related technical field.
3+ years of hands-on data engineering experience, including building production data pipelines on a cloud platform.
3+ years leading technical teams, including setting technical standards and processes for cloud and on-premises environments and guiding technology decisions.
Hands-on experience with BigQuery, Cloud Storage, Dataflow, Dataproc, and Pub/Sub.
Strong SQL and Python, with experience in distributed data processing and data modeling.
Experience transforming large datasets and delivering ML-ready datasets for model training.
Ability to obtain and maintain a federal background investigation (Public Trust).
Applicants need to be a US Citizen to be considered for the position and have physically resided in the United States for a minimum of 3 years due to background investigation requirements.

Benefits

Comp & perks

Medical, Vision, Dental
Paid Vacation & Sick Time
Paid Federal Holidays
401k Retirement Plan with 100% Company Matching
Employer Paid Life Insurance
Continued Education Assistance
Employee Assistance Program (EAP)
Commuter Benefits Program
Health Savings Account (HSA)