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CO
Police Records Supervisor
City of Baldwin Park
Baldwin Park, CA
- $6,205.33 to $7,541.73 USD / month
Advises and assists department personnel regarding records activities and automated records management systems; acts as liaison to other law enforcement agencies regarding records-related…
Added just now
Project Engineer, Firmware
Black & Decker (U.S.) Inc.
Towson, MD
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Added 1 min ago
Supply Chain Product Manager, New Product Introductions
Amazon Data Services, Inc.
Austin, TX
Develop and implement systems of accountability to ensure ongoing, measurable performance improvement.
Added 1 min ago
Automation Engineer
Amazon.com Services LLC
Summerville, SC
…expertise will be essential in troubleshooting complex control systems, analyzing performance metrics, and driving continuous improvement initiatives. You'll collaborate with…
Added 1 min ago
BG
MAC Manager
Brookfield Global In
Denver, CO
- $75,000 to $95,000 USD / year
…capital planning. Its range of solutions, supported by efficient systems, processes, and people, enables it to create and optimize places that work for its clients. The team is dedicated to…
Added 1 min ago
CI
Software Engineer, Core Platform
Cribl, Inc
Denver, CO
- $150,000 to $175,000 USD / year
…building scalable, robust, and high performing distributed systems which process large data sets in real time, this position may be right for you. In this role, you will join a team of…
Added 1 min ago
G
Structural Engineer
GPAC
York, PA
- $90,000 to $130,000 USD / year
Design and analyze structural systems for buildings and related structures
Added 2 mins ago
Medical Assistant Lead
The Brigham and Women's Hospital, Inc.
United States
…doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community…
Added 3 mins ago
G
Senior Electrical Engineer
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Omaha, NE
- $110,000 to $140,000 USD / year
Senior Electrical Engineer (Building Systems)
Added 3 mins ago
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Senior Electrical Engineer
GPAC
Salt Lake City, UT
- $110,000 to $140,000 USD / year
Senior Electrical Engineer (Building Systems)
Added 3 mins ago
Vice President- AI, Center of Excellence
Mastercard
O'Fallon, MO
- Experience with hybrid cloud and cloud-native architectures, distributed systems, APIs, enterprise integration, and modern AI engineering.
Added 4 mins ago
Engineer, Product Development, Systems Engineering
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Canton, MI
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Added 4 mins ago
Engineer III
Marriott
ATLANTA, GA
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Added 4 mins ago
Engineer I
Marriott
Orlando, FL
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Added 4 mins ago
Director of Human Resources
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Raleigh, NC
Proficiency in Microsoft Office and HRIS systems.
Added 5 mins ago
Assistant Chief Engineer
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Assists in managing the physical plant including equipment, refrigeration, HVAC, plumbing, water treatment, electrical and life safety systems.
Added 6 mins ago
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Senior Manager - Quality Engineering
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Cheyenne, WY
- $126,200 to $264,100 USD / year
…This role drives operational excellence through robust quality systems, supplier quality management, process controls, and continuous improvement initiatives. The Senior Manager partners…
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…your skills across project management, financial management, systems, and global clinical research…
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QUALITY ASSURANCE SPECIALIST
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…the maintenance managers confidence that aircraft, aircraft systems, munitions, equipment, products or supporting processes conform to technical, safety, workload and customer requirements.…
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Engineer II, Software Assurance, Product Security (Remote)
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…advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries,…
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Quantitative Enterprise Risk Management Analyst
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Added 6 mins ago
Capital One Shopping Tech, Data Engineer 5 (Remote- Eligible)
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Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Added 6 mins ago
Clinical Research Associate II (US West) - FSP
Parexel
Cheyenne, WY
Manages and maintains information and documentation in Clinical Trial Management System, electronic Trial Master File and various other systems as appropriate and per timelines
Added 6 mins ago
IT Nursing Informaticist - Riverton, Wyoming
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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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