Senior Data Engineer – Advertising

Truelogic Software

. Design, build, and scale data pipelines and infrastructure for ingestion, transformation, storage, and serving .

Posted 11/3/2026full-timeRemoteSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and scaling data pipelines and infrastructure, with a strong focus on cloud data platforms and AI-enabled workflows. Proven ability to translate business needs into data solutions that deliver measurable value while mentoring engineers and establishing best practices.

Highest-signal resume keywords

Data Engineering ExperiencePython ProficiencyCloud Data PlatformsAI-Powered CodingMarketing Data Ecosystems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentETL ProcessesSQL ProficiencyAWS ExperienceGCP ExperienceAzure ExperienceData GovernanceMLOps ToolingAI/ML IntegrationSoftware Engineering Fundamentals

Soft Skills

Strong Communication SkillsMentoring ExperienceProcess Improvement Advocacy

Tools & Technologies

GA4Advertising PlatformsCRMsCDPsMLflowSageMakerVertex AIVector Databases

Industry Keywords

Data QualityPrivacy ComplianceSecurity Best PracticesCross-Functional CollaborationComplex Project Management

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Design, build, and scale data pipelines and infrastructure for ingestion, transformation, storage, and serving
Collaborate with Machine Learning Engineering teams to support model training, evaluation, and serving
Improve team processes, tooling, and ways of working
Contribute to thought leadership, internal knowledge sharing, and community of practice efforts
Translate business needs into product-minded data solutions that drive measurable business value
Integrate marketing data sources such as GA4, advertising platforms, CRMs, and CDPs into reliable, well-modeled datasets
Establish data engineering standards, documentation, and monitoring practices for data quality and reliability
Apply AI-powered coding, agentic engineering, and AI-enabled workflows to accelerate delivery
Lead technical workstreams and mentor other engineers
Collaborate with cross-functional stakeholders on complex data challenges

Requirements

What you’ll need

5+ years of data engineering experience, including building data pipelines and infrastructure from the ground up
Deep expertise in cloud data platforms
Proficiency in Python and SQL for data processing and ETL
Experience building and deploying data workloads in AWS, GCP, or Azure
Strong product orientation and ability to deliver measurable business value
Hands-on experience with AI-powered coding, agentic engineering, and AI-enabled workflows
Proven experience mentoring others and establishing engineering standards
Familiarity with marketing data ecosystems, including GA4, advertising platforms, CRMs, and CDPs
Software engineering fundamentals: version control, testing, code review, and CI/CD
Strong communication skills
Experience working on complex, ambiguous projects from definition through delivery
Advanced English (B2 or higher)
Experience with data governance, privacy compliance, and security best practices
Experience integrating AI/ML capabilities into data pipelines and exposure to GenAI applications
Familiarity with MLOps tooling such as MLflow, SageMaker, and Vertex AI, plus vector databases or RAG patterns
Experience working across multiple verticals or client types
Track record of advocating for and implementing process improvements

Benefits

Comp & perks

100% Remote Work
Highly Competitive USD Pay
Paid Time Off
Work with Autonomy
Work with Top American Companies
Engagement activities and work-life balance support
Diverse, global network and multicultural collaboration
Collaboration with seasoned senior professionals