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Member of the Technical Staff (MTS) DRAM PI
Micron Technology, Inc.
Boise, ID
This Member of the Technical Staff Engineer (MTS) will provide technical leadership for memory process integration. You will lead device-module and process-integration development, overcome…
Added 12 mins ago
H
Failure Analysis Engineer
HyperLight
Cambridge, MA
- $90,000 to $180,000 USD / year
Failure Analysis currently consists of a small and impactful team. You’ll be trained directly by the FA lead and will grow into owning cases independently across the full workflow: intake,…
Added 12 mins ago
H
Senior/Staff Physical Verification and PDK Engineer
HyperLight
Remote, United States
- $150,000 to $225,000 USD / year
Our growing team is looking for a Senior/Staff Physical Verification and PDK Engineer to own physical verification and design enablement for our most advanced heterogeneous integration…
Added 19 mins ago
J
Staff Infrastructure Engineer, Cost Optimization
Jobgether
Remote, United States
- $182,400 to $250,800 USD / year
…next steps. Our partner is looking for a Staff Infrastructure Engineer, Cost Optimization based in the United…
Added 19 mins ago
J
Staff Data Scientist
Jobgether
Remote, United States
- $123,804 to $185,700 USD / year
…automation, autonomous systems, and digital products. You will lead a team of data scientists while remaining hands-on in developing machine learning models, analytical solutions, and data…
Added 19 mins ago
J
SR R&D/PRODUCT DVL ENGINEER
Jobgether
Remote, United States
- $115,000 to $145,000 USD / year
…steps. Our partner is looking for a SR R&D/Product Development Engineer based in the United…
Added 19 mins ago
J
Senior Data Engineer, Ads Data (AI Native)
Jobgether
Remote, United States
- $129,000 to $192,000 USD / year
…applications and next steps. Our partner is looking for a Senior Data Engineer, Ads Data (AI Native) based in the United…
Added 21 mins ago
BI Data Analyst
Hays
Orlando, FL
Data engineering: The candidate does not need to be a data engineer, but must be able to partner with that team and understand its work.
Added 33 mins ago
VP, Business Operations, Technology & National Security
Alloy Therapeutics
Waltham, MA
…only the CTO can make. You do not need to be a scientist or an engineer. You do need to know how to get the truth from experts, turn it into commitments, and make those commitments…
Added 33 mins ago
Principal, Software Engineer - Enterprise Automation Frameworks & Support
Humana
Boston, MA
Principal Automation Engineer, Enterprise Automation Frameworks & Support will lead the adoption of automation-first testing approaches, establish enterprise standards and frameworks, drive…
Added 33 mins ago
Senior Ethics & Compliance Strategic Program Manager
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 33 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 33 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 33 mins ago
CRM Account Executive - Commercial
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 34 mins ago
Network Engineer
Google
Austin, TX
Lead development of Google’s Enterprise Network infrastructure through published engineering design documents and specifications. Lead the requirement analysis, engineering design, and…
Added 36 mins ago
Senior Computer Scientist
Mercer University
Warner Robins, GA
Demonstrates the ability to mentor and lead less experienced team members.
Added 57 mins ago
AU
Technical Enablement Consultant, Learning Systems
AtkinsRealis USA Inc.
United States
- $67,000 to $100,000 USD / year
…engagement is necessary. Working under the Strategy & Advisory Lead and in coordination with the AtkinsRéalis Project Manager, the role focuses on instructor-led, virtual, and eLearning…
Added 1 hour ago
Software Engineer - Agentic Reliability Infrastructure (Technical Leadership)
Meta
Columbia, SC
Meta is seeking an experienced Software Engineer to build the next generation of AI systems for production reliability. This role sits at the intersection of large-scale distributed…
Added 1 hour ago
Senior Backend & Cloud Infrastructure Engineer
Sekai
United States
We're looking for a Backend & Cloud Infrastructure Engineer to help build and scale the systems behind Sekai. In this role, you'll work across backend development and cloud infrastructure,…
Added 1 hour ago
Senior Cybersecurity Engineer – Network Security, Zero Trust & Automation
GD Information Technology, Inc.
Remote, United States
As a Senior Cybersecurity Engineer supporting the Zero Trust and Security Engineering team, you will provide senior-level technical expertise for the design, implementation, integration,…
Added 1 hour ago
J
Customer Solutions Architect
Jobgether
Remote, United States
- $150,000 to $185,000 USD / year
Lead technical onboarding activities, including kickoff meetings, implementation planning, connectivity setup, access configuration, and validation against agreed success criteria.
Added 1 hour ago
Principal Software Engineer, Cloud Infrastructure
NVIDIA USA
CA
We are seeking a Principal Software Engineer to drive the architecture and development of our bare-metal and cloud compute infrastructure. Our organization supports hundreds of megawatts of…
Added 1 hour ago
AI Factory Mechanical Engineer
NVIDIA USA
Remote, United States
…speeds. We want a highly motivated AI Factory Mechanical Design Engineer to take charge of next-generation liquid cooling and thermal systems for AI factories. Your responsibility will…
Added 1 hour ago
Product Manager, Integrations
Credo.AI
Remote, United States
…back, and turn the results into audit-ready evidence. You'll lead a small, dedicated integration engineering team and work side by side with our customer deployment…
Added 1 hour ago
F
Product Enablement Lead
Fireworks
San Mateo, CA
- $210,000 to $250,000 USD / year
- Prior experience in a technical pre-sales role, such as Solutions Engineer or Solutions Architect

Jobgether

Senior Data Engineer, Ads Data (AI Native)

Remote, United States

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

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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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