Analytics Data Engineer

Omnicom

. Design data solutions that solve client business needs .

Posted 11/9/2026full-timeUnited StatesJuniorMid-Level💰 $85,000 - $95,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing scalable data solutions and integrating various data sources to meet client business needs. Proficient in SQL and Python for developing production-grade data pipelines and optimizing data quality and usability.

Highest-signal resume keywords

Expert-Level SQL SkillsPython ProgrammingBigQuery ExperienceData Pipeline DevelopmentDigital Marketing Ecosystem Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringMarketing AnalyticsMedia AnalyticsData ModelingDataOps PracticesData Quality ManagementAnomaly DetectionCampaign Performance MeasurementAttribution AnalysisData Governance

Soft Skills

Communication SkillsProblem-SolvingInfluencing DecisionsCollaboration

Tools & Technologies

GCPGoogle AdsCM360DV360The Trade DeskMetaLinkedInAdobe AnalyticsGoogle Analytics 4APIs

Industry Keywords

Digital Media DataCampaign DeliveryAudience AnalysisConversion DataFirst-Party Customer DataScalable Technical SolutionsAutomated Reporting FrameworksMeasurement Solutions

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Design data solutions that solve client business needs
Partner with analytics and media teams to translate business objectives into scalable data solutions
Design data models integrating media, site, sales, and media conversion data
Recommend and implement measurement approaches for agency and client objectives
Serve as a subject matter expert on media and marketing data architecture
Build and maintain integrations across advertising, analytics, and marketing technology platforms
Develop frameworks for campaign performance measurement, attribution, audience analysis, and optimization
Evaluate emerging platforms, APIs, and data sources
Automate and maintain scalable data pipelines
Own pipeline scheduling, monitoring, alerting, and failure recovery
Apply DataOps practices and maintain data quality and security
Write and optimize SQL views, Python/R scripts, and API connectors
Optimize data cleaning and anomaly detection processes
Help manage GCP infrastructure, particularly BigQuery and GCP integrations
Maintain QA practices and data governance
Investigate issues, identify root causes, and implement solutions
Work with analysts to anticipate needs and improve data usability
Communicate progress and challenges to less technical stakeholders

Requirements

What you’ll need

Bachelor’s degree preferred or equivalent work experience in a related field such as Computer Science, Data Science, Mathematics/Statistics, Marketing Analytics, etc.
2–4 years of experience in data engineering, marketing analytics, media analytics, or related disciplines
Agency experience strongly preferred
Expert-level SQL and Python skills with experience developing scalable production-grade data pipelines
Deep experience working with digital media data, including campaign delivery, audience, conversion, and attribution datasets
Proven experience designing and implementing data solutions supporting media planning, optimization, measurement, and reporting
Strong understanding of digital marketing ecosystems, including Google Ads, CM360, DV360, The Trade Desk, Meta, LinkedIn, Adobe Analytics, and Google Analytics 4
Experience integrating media, site analytics, offline conversion, and first-party customer data
Deep experience with BigQuery, GCP, or similar cloud-based data warehouse environments
Experience translating client business requirements into scalable technical solutions
Experience building data products, automated reporting frameworks, and measurement solutions
Understanding of the technical and business implications of data solutions
Ability to recommend approaches rather than simply execute requirements
Ability to influence decisions and challenge assumptions when a better solution exists

Benefits

Comp & perks

Equal employment opportunity policy
Inclusive team environment
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