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Added 6 mins ago
Capital One Shopping Tech, Data Engineer 5 (Remote- Eligible)
Capital One
Cheyenne, WY
Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
Added 6 mins ago
C
Senior Knowledge Graph & Ontology Architect
Cognizant
Cheyenne, WY
- $130,000 to $160,000 USD / year
…foundation that powers enterprise knowledge graphs, search, analytics, and agentic AI…
Added 6 mins ago
C
GCP data Engineer
Cognizant
Cheyenne, WY
- $100,000 to $120,000 USD / year
Cognizant is seeking an experienced Knowledge Graph Data Engineer to build and operate the connectivity, profiling, and graph/search foundation that powers enterprise ontology and knowledge…
Added 10 mins ago
J
Staff Data Scientist
Jobgether
Remote, United States
- $123,804 to $185,700 USD / year
Leverage PAAW datasets to engineer features that capture machine, operational, and environmental context and connect these factors to technology usage.
Added 10 mins ago
J
Senior Data Engineer, Ads Data (AI Native)
Jobgether
Remote, United States
- $129,000 to $192,000 USD / year
…innovative digital products and services. As a Senior Data Engineer, you will take ownership of critical data infrastructure supporting advertising analytics, campaign performance, and…
Added 11 mins ago
Capital One Shopping Tech, Data Engineer 5 (Remote- Eligible)
Capital One
Pierre, SD
Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
Added 11 mins ago
C
Senior Knowledge Graph & Ontology Architect
Cognizant
Pierre, SD
- $130,000 to $160,000 USD / year
…foundation that powers enterprise knowledge graphs, search, analytics, and agentic AI…
Added 11 mins ago
C
GCP data Engineer
Cognizant
Pierre, SD
- $100,000 to $120,000 USD / year
Cognizant is seeking an experienced Knowledge Graph Data Engineer to build and operate the connectivity, profiling, and graph/search foundation that powers enterprise ontology and knowledge…
Added 23 mins ago
Application Engineer, Enterprise Deployment - Finance
MathWorks
Natick, MA
Financial institutions are increasingly integrating MATLAB-based analytics and models into modern enterprise IT environments, cloud platforms, automated software development processes, and…
Added 24 mins ago
Principal, Software Engineer - Enterprise Automation Frameworks & Support
Humana
Boston, MA
Principal Automation Engineer, Enterprise Automation Frameworks & Support is a senior technical leader responsible for defining, designing, and scaling enterprise-wide test automation…
Added 24 mins ago
Capital One Shopping Tech, Data Engineer 5 (Remote- Eligible)
Capital One
Boston, MA
Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
Added 24 mins ago
Senior Data & Analytics Solution Sales Executive - Healthcare
ServiceNow, Inc.
Boston, MA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 24 mins ago
Senior Data & Analytics Solution Sales Executive - State and Local Government
ServiceNow, Inc.
Boston, MA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 28 mins ago
Senior Principal Systems Engineer / SME (Cyber & Analytics)
RTX
United States
Applied Signal Technology (AST) is seeking a Senior Principal Systems Engineer / SME (Cyber & Analytics) who strives for excellence and have a passion to be part of a team that strengthens…
Added 32 mins ago
TT
Product Engineer
True Talent Solutions Partners
San Francisco Bay Area, CA
- $185,000 to $485,000 USD / year
- Create dashboards and analytics to help teams monitor pipeline health and operational metrics.
Added 37 mins ago
Data Engineer 4
Capital One
McLean, VA · Richmond, VA · Chicago, IL · Plano, TX
Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
Added 52 mins ago
Automation Engineer- Plant
Trane Technologies
Newberry, SC
Trane is hiring an Automation Engineer in Newberry, SC. We are seeking a motivated engineer with experience in process automation, manufacturing systems, and digital tools to support and…
Added 1 hour ago
TT
Senior / Staff Product Engineer
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $270,000 USD / year
- Develop intuitive case management, reporting, analytics, and workflow configuration experiences.
Added 1 hour ago
CR
Sales Engineer, VP
Charles River Systems Inc MA
United States
- $110,000 to $188,750 USD / year
Following the continued growth of Charles River’s Wealth business within the State Street, CRD is seeking a Sales Engineer to join the Sales Engineering team within US sales, supporting…
Added 1 hour ago
ME
Sr. Logistics Systems Engineer
Manpower Engineering
Hayward, CA
- $90 to $95 USD / hour
Our client is seeking a Sr. Logistics Systems Engineer to join their team. As a Sr. Logistics Systems Engineer, you will be part of the Supply Chain Digital Integration team supporting…
Added 1 hour ago
Senior Backend Engineer
Acuity Inc.
Conyers, GA
…design releases into PLM, publishing engineering entities to analytics consumers, and integrating with ERP and downstream systems. This is a hands-on role on a small team, owning services…
Added 1 hour ago
U
Lead Presales Value Consultant
UKG
Atlanta, GA
- $160,000 USD / year
As a Value Engineer, you will help prospects and customers understand the business value of UKG products and services. You will use research, interviews, discovery, operational data, and…
Added 1 hour ago
Lead Data Engineer
Honeywell Technologies
Atlanta, GA
…the data that powers that future starts here. As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the data foundations that enable physical AI at…
Added 1 hour ago
Business Analyst - AI Prompts - Owner & Operator Portal
IHG
Atlanta, GA
…enablement efforts. This person does not need to be a deep AI engineer or data scientist, but should be curious, proactive, process-oriented, and comfortable learning new AI concepts,…
Added 1 hour ago
PN
Machine Learning Engineer II
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $114,000 USD / year
The AI and Data Analytics Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver…

Jobgether

Senior Data Engineer, Ads Data (AI Native)

Remote, United States

$129,000 to $192,000 USD / year

Apply About employer

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Job details

Pay: $129,000 to $192,000 USD / year
Experience: At least 5 years of professional data engineering experience, with a proven track record of building and operating production-grade data platforms at enterprise scale.
Posting language: English

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer, Ads Data (AI Native) based in the United States.

Join a fast-growing, remote-first technology organization dedicated to helping families stay connected and protected through innovative digital products and services. As a Senior Data Engineer, you will take ownership of critical data infrastructure supporting advertising analytics, campaign performance, and business intelligence. You will design, optimize, and scale data pipelines that transform billions of data points into reliable, actionable insights. Working closely with analysts, advertising strategists, and sales teams, you will help create trusted datasets and standardized metrics that drive smarter business decisions. You will leverage modern cloud technologies and AI-powered development tools to improve engineering efficiency, platform reliability, and scalability. This is an opportunity to combine deep technical expertise, cross-functional collaboration, and AI-native innovation while making a meaningful impact within a globally Accountabilities

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Build and maintain scalable data infrastructure: Enhance, extend, and operate batch and streaming pipelines, Delta Lake tables, and data workflows on Databricks to support growing data volumes and evolving business requirements.

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Develop business-focused data products: Collaborate with business analysts, advertising strategists, and sales teams to translate their needs into reliable datasets, campaign performance reports, audience insights, and revenue analytics.

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Own data modeling and metrics: Build and maintain dbt models, automated tests, curated Silver and Gold datasets, and semantic layers to ensure consistent and trusted business metrics across the organization.

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Optimize performance and infrastructure costs: Improve Spark and Databricks workloads through query optimization, partitioning, cluster sizing, shuffle management, and efficient resource allocation.

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Manage cloud infrastructure: Maintain and automate Databricks and AWS infrastructure using Terraform, ensuring secure, scalable, and reliable data platform operations.

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Integrate multiple data sources: Connect, consolidate, and reconcile data from advertising platforms, CRM systems, external partners, and internal applications while supporting migrations from legacy reporting solutions.

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Strengthen data quality and reliability: Implement monitoring, data lineage, SLAs, alerting, automated testing, and data contracts. Lead root-cause analysis and resolve issues affecting data availability and accuracy.

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Establish engineering best practices: Promote effective version control, CI/CD, code reviews, testing, and documentation while mentoring engineers and contributing to the team's technical roadmap.

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Ensure data governance and compliance: Apply appropriate privacy controls, security standards, and access management practices to protect sensitive information and meet GDPR, CCPA, and SOX requirements.

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Advance AI-native engineering capabilities: Build tools, workflows, and AI agents that provide LLMs with additional context, helping accelerate development, debugging, code generation, and system maintenance.

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Drive continuous improvement: Take ownership of foundational pipelines and data models, reduce processing times and infrastructure costs, and enable stakeholders to access trusted information independently.

Requirements

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At least 5 years of professional data engineering experience, with a proven track record of building and operating production-grade data platforms at enterprise scale.

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Advanced hands-on expertise in Apache Spark, including PySpark and/or Scala, with strong knowledge of partitioning, joins, shuffle behavior, caching, skew handling, and performance optimization.

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Extensive experience with Databricks, including Delta Lake, Unity Catalog, Jobs and Workflows, Databricks Asset Bundles, Structured Streaming, and SQL Warehouses.

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Strong knowledge of Databricks performance and cost optimization, including cluster and warehouse sizing, autoscaling, Photon, and serverless computing.

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Excellent proficiency in SQL and Python or Scala for pipeline development, automation, data transformation, and query optimization.

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Hands-on production experience with dbt, including model design, incremental strategies, testing, documentation, and CI/CD-driven workflows.

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Practical experience with Terraform and AWS, particularly S3, IAM, and cloud networking fundamentals relevant to data platforms.

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Experience with orchestration frameworks such as Airflow or Databricks Workflows, alongside Git, CI/CD, and production monitoring tools.

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Strong understanding of data architecture and modeling principles, including dimensional modeling, star schemas, medallion architecture, and semantic layers.

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Demonstrated ability to inherit, refactor, and improve existing data models and pipelines while maintaining reliability, scalability, maintainability, and backward compatibility.

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Experience using AI/LLM coding assistants such as Claude, Cursor, or GitHub Copilot, with the ability to critically review, test, and take ownership of generated code.

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Strong analytical and problem-solving abilities, combined with business acumen and the capacity to translate stakeholder requirements into effective technical solutions.

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Excellent communication and collaboration skills, particularly when explaining technical concepts to non-technical audiences and working with cross-functional teams.

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Familiarity with data governance, privacy, and regulatory requirements, including GDPR, CCPA, and SOX.

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Experience with business intelligence platforms such as Domo, Tableau, or Looker is an advantage.

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Previous experience in advertising technology, ad tech, or media data, including campaign delivery, attribution, audience analytics, or revenue reporting, is preferred.

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A bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience.

AI-Native Engineering Expectations:

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Regularly use AI coding assistants for substantive engineering activities, including analysis, development, refactoring, testing, codebase navigation, and documentation.

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Apply sound technical judgment when reviewing AI-generated code, maintaining responsibility for quality, security, testing, and production readiness.

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Leverage AI tools to increase engineering velocity, improve efficiency, and independently tackle complex technical challenges.

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Share effective AI workflows and strategies with colleagues, helping strengthen adoption and technical capabilities across the team.

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Stay informed about emerging AI technologies and continuously identify opportunities to improve engineering processes and productivity.

Benefits

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Competitive compensation:

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Annual base salary range: $129,000–$192,000 USD.

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Equity compensation through Restricted Stock Units (RSUs).

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Comprehensive total compensation package, with final offers based on experience, skills, and geographic location.

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Health and insurance:

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Medical, dental, and vision insurance, with premiums fully covered for US employees.

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Life and disability insurance.

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Additional supplemental coverage options.

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Financial benefits:

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401(k) retirement savings plan with company matching.

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Work-life balance:

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Flexible paid time off.

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Company-wide holidays throughout the year.

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Summer and winter company shutdowns.

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Paid parental leave.

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Well-being:

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Mental Wellness Program.

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Employee Assistance Program (EAP).

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Remote work:

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Remote-first working environment.

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Equipment, tools, and reimbursement support to create a productive home office.

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Professional development:

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Learning and development programs.

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Opportunities to work with advanced data engineering technologies and cutting-edge AI tools.

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Additional perks:

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Complimentary premium membership to the company's family safety platform.

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Complimentary Tile tracking devices.

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Company culture: Join a collaborative, mission-driven, and inclusive environment that values integrity, direct communication, innovation, and meaningful impact.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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