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Live In Data Platform Engineer Jobs (NOW HIRING)

El Toro.com

Data Platform Engineer I

Louisville, KY · On-site

$110K - $132K/yr

Data Platform Engineer I Location: Louisville, KY About El Toro At El Toro, everything we do starts ... As the leader in accurate, measurable, and trusted IP Targeting technology, we help brands reach ...

jobr.pro

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

Our autonomous robots operate globally, often in harsh environments, delivering critical insights ... About the Job As a Data Platform Engineer, Data Pipelines, you will design and build the systems ...

Eitacies Inc

Senior Data Platform Engineer

Austin, TX · On-site

$105K - $143K/yr

Benefits: * 401(k) Senior Data Platform Engineer Onsite Austin, TX We are hiring a Senior Data Platform Engineer for an onsite role in Austin, TX This role requires strong hands-on experience ...

FieldAI

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

Our autonomous robots operate globally, often in harsh environments, delivering critical insights ... About the Job As a Data Platform Engineer, Data Pipelines , you will design and build the systems ...

kestra

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

We are seeking a seasoned Databricks Data Engineer with expertise in Azure cloud services and the ... Build reusable frameworks using Databricks Workflows, Repos, and Delta Live Tables. * Create ...

Umbra

Staff Data Platform Engineer

Reston, VA · On-site

$119K - $143K/yr

Our mission is simple and ambitious: redefine space--for people, systems, and missions in every ... About the Job We are seeking a Senior/Staff Data Platform Engineer to lead our data infrastructure ...

Umbra

Staff Data Platform Engineer

Arlington, VA · On-site

$131K - $158K/yr

Our mission is simple and ambitious: redefine space--for people, systems, and missions in every ... About the Job We are seeking a Senior/Staff Data Platform Engineer to lead our data infrastructure ...

Virtuous

Lead Data Platform Engineer

Phoenix, AZ · On-site

$101K - $134K/yr

Required : • 7+ years of experience in data engineering, platform engineering, or related infrastructure roles, with ownership of production systems. • Deep expertise in Snowflake, especially:

Pattern

Staff Data Platform Engineer

Lehi, UT

We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ... In this high-impact role, you will be the catalyst that enables our partners and global teams to ...

Virtuous Software

Lead Data Platform Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

We're hiring a Lead Data Platform Engineer to design, build, and own the systems that power our ... Success in this role comes from designing and building durable platform capabilities - security ...

Premier Trailer Leasing

Lead Data Platform Engineer

Plano, TX · On-site

$110K - $132K/yr

... in the nation, specializing in long-term leasing and short-term rental services for over-the-road ... Join us and experience what it means to live a culture of C.A.R.E! JOB SCOPE: Premier Trailer ...

FieldAI

Data Platform Engineer, Infrastructure

Irvine, CA · On-site

$115K - $151K/yr

Our autonomous robots operate globally, often in harsh environments, delivering critical insights ... About the Job As a Data Platform Engineer, Infrastructure , you will build and operate the cloud ...

Qualcomm

Data Platform Engineer, Senior Staff

San Diego, CA · On-site

$112K - $152K/yr

This role is ideal for a senior engineer who excels in system design, platform innovation, and hands-on execution. You will help design, implement and improve reliability of the data platform ...

Kestra Holdings

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Strong skills in SQL, Python, PySpark, ETL/ELT frameworks, and experience with Delta Lake, Unity ... Build reusable frameworks using Databricks Workflows, Repos, and Delta Live Tables. * Create ...

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Live In Data Platform Engineer information

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How much do live in data platform engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for live in data platform engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

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Live In Data Platform Engineer jobs near you
Infographic showing various Live In Data Platform Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Platform Engineer I

Louisville, KY • On-site

El Toro.com
See more jobs at El Toro.comexternal

$110K - $132K/yr

Full-time

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Data Platform Engineer I
Location: Louisville, KY
About El Toro
At El Toro, everything we do starts with one purpose: turning data into results brands can see, measure, and trust. As the leader in accurate, measurable, and trusted IP Targeting technology, we help brands reach exactly the right audiences and prove every dollar spent. From our Louisville, Kentucky headquarters, our patented (25 and counting) technology delivers privacy-compliant, high-precision campaigns with unprecedented transparency and attribution. We're scaling quickly, pushing the boundaries of what digital advertising can be, and we're looking for exceptional people who want to build the future with us.
Position Summary
As a Data Platform Engineer I, you'll help build the pipelines, workflows, and tooling that turn raw, messy data into something the rest of El Toro can trust and act on; the backbone of our patented IP Targeting technology. You'll write production Python from day one, orchestrate real workflows with tools like Airflow and Temporal, and get hands-on with the query engines and data platform stack that power privacy-compliant, high-precision ad campaigns at scale. If you want an engineering job that means shipping code that reaches real customers, not just tickets that disappear into a backlog, this role is for you.
Key Responsibilities
Engineering & Delivery
  • Feature Development: Implement features and bug fixes in Go within your team's domain, collaborating with and learning from senior engineers as you ramp up.
  • Code Quality: Write readable, maintainable Python code that aligns with established team standards and conventions.
  • Testing & Reliability: Write comprehensive unit and integration tests as a core part of your development process to ensure high-quality production code.
  • Code Reviews: Participate in the code review process to share your work, incorporate constructive feedback, and adopt shared engineering patterns.
  • Workflow Orchestration: Build and support workflow orchestration processes (for example, using tools such as Airflow, Temporal, or similar) to help automate and coordinate service pipelines.

Learning & Collaboration
  • Architecture & Design: Develop a foundational understanding of the team's data platform tool stack, its data access and pipeline patterns, and distributed query engine best practices.
  • Growth & Documentation: Proactively ask questions, document new processes or findings, and steadily work toward taking independent ownership of tasks.
  • Agile Teamwork: Participate actively in team agile processes, including sprint planning, estimation, stand-ups, and retrospectives.
  • Problem Solving: Assist in identifying, reproducing, and triaging technical issues, communicating clearly with the team when you run into blockers.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Qualifications
  • Foundational Programming: Practical software development experience gained through a degree, bootcamp, internships, personal projects, or self-directed study.
  • Core Fundamentals: Understanding of core software concepts, including basic data structures, API communication, version control (such as Git), and writing tests.
  • Data Systems: Familiarity with relational databases and writing basic SQL queries. Any exposure to querying large or partitioned datasets is a bonus, not a requirement.
  • Growth & Collaboration: A desire to learn how modern data platforms work - pipelines, query engines, and data catalogs - and an openness to collaborating, exchanging feedback, and growing with a team.
  • Communication: Clear written and verbal communication skills.
  • Workflow Orchestration: Workflow orchestration experience (for example, with tools such as Airflow, Temporal, or similar) is required.

Preferred:
  • Exposure to Python for scripting or data manipulation, or SQL beyond basic coursework.
  • Exposure to containerization tools (such as Docker) or cloud platforms (AWS).
  • Experience or coursework involving data pipelines, ETL/ELT, data modeling, or analytical query engines.
  • Interest in ad tech, data, or turning messy real-world data into something reliable.

What You'll Get Working at El Toro
  • A fast-paced, fun, and open culture with an entrepreneurial spirit
  • A work environment headquartered in the heart of Louisville's NuLu District, with friendly office dogs and leadership that is available and listens
  • Competitive medical and health benefits plans
  • 100% Company-paid life insurance, short-term disability, and long-term disability
  • 401k plan with company contribution of 3%, once qualified
  • 15 PTO days per year, which increases to 20 PTO days after 3 years of full-time employment
  • 10 paid company holidays
  • On-Site gym & showers for all employees
  • The opportunity to join a team where your ideas matter and get implemented quickly

Ready to Apply?
We're excited to hear from you and look forward to receiving your application.
El Toro is committed to actively fostering a culture of diversity, equity, and inclusion among its workforce and the broader community. Our culture is defined through our E.P.I.I.C model - Excellence, Persistence, Integrity, Innovation, and Continued Improvement.
El Toro is an equal opportunity employer and values diversity at our Company. We do not discriminate on the basis of actual or perceived race, ethnicity, creed, color, religion, alienage or national origin, ancestry, citizenship status, language, age, disability, political affiliation, sex, socio-economic status, marital status, veteran status, sexual orientation, gender identity or expression, genetic information, arrest record, or any other characteristic protected by applicable federal, state or local laws.

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