Senior Data Engineer

Tanaq Technical Services

. Design and optimize data pipelines and architectures for AI/ML workflows on cloud platforms .

Posted 9/22/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing data pipelines and architectures for AI/ML workflows, with proficiency in cloud platforms such as AWS Bedrock and Azure OpenAI. Strong background in data governance, ETL/ELT processes, and collaboration with cross-functional teams to operationalize AI solutions.

Highest-signal resume keywords

Data Engineering for AI/ML WorkflowsAWS BedrockAzure OpenAIPythonSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL ProcessesData QualityData ModelingSchema DesignData GovernanceMetadata ManagementAirflowSparkDatabricksLarge-Scale Data Processing

Soft Skills

CollaborationDocumentationAgile Development

Tools & Technologies

S3RedshiftData FactoryGitGitHubGitLab

Industry Keywords

Federal ComplianceHUD OCIOAI/ML PipelinesVersioningLineage Tracking

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureCloudETLPythonSparkSQL

About the role

Key responsibilities & impact

Design and optimize data pipelines and architectures for AI/ML workflows on cloud platforms
Develop ETL/ELT processes, ensuring data quality, consistency, and accessibility
Configure and manage AI/ML-ready cloud infrastructure, including AWS Bedrock and Azure OpenAI
Collaborate with Data Scientists to operationalize models and enable scalable AI solutions
Implement data governance, versioning, and lineage tracking for compliance
Monitor and maintain high-performance data systems and optimize throughput
Support HUD AI/ML proofs of concept and pilots
Collaborate with Data Scientists, DevOps, and UX teams
Document reproducible workflows and contribute to iterative Agile development

Requirements

What you’ll need

5+ years of experience in data engineering for AI/ML workflows
Expertise in cloud-native data systems and large-scale data processing
Familiarity with AI/ML pipelines, reproducible workflows, and federal compliance
Previous experience supporting HUD OCIO preferred
Ability to pass required Federal background screening and obtain and maintain both government clearance and customer approval
Must be legally authorized to work in the United States without employer sponsorship, now or at any time in the future
Proficiency with AWS Bedrock, Azure OpenAI, S3, Redshift, and Data Factory
Experience with Airflow, Spark, and Databricks
Knowledge of data modeling, schema design, and optimization for AI workloads
Proficiency in Python and SQL
Experience with Git, GitHub, or GitLab
Knowledge of data governance, metadata management, and logging
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field
Prolonged periods of sitting at a desk and working on a computer
May occasionally need to lift up to 25 pounds

Benefits

Comp & perks

Full-time employment
Fully remote position
Equal Employment Opportunity protections
Reasonable accommodation for applicants with disabilities
Drug-free workplace
E-Verify participation