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Data Automation Jobs in Seattle, WA (NOW HIRING)

Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ... Automation developer Location: Bellevue, WA Duration: 5 months Contract Description: 5 or more ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Experience building or consuming RESTful APIs and working with data integration. Cloud & AI ...

As the global standard for process intelligence and automation, we're trusted by over 10,000 public ... Own marketing's lead scoring, routing requirements, and data quality processes in partnership with ...

AI & Automation Engineer

Seattle, WA · On-site

$90K - $120K/yr

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Experience building or consuming RESTful APIs and working with data integration. * Cloud & AI ...

As the global standard for process intelligence and automation, we're trusted by over 10,000 public ... Own marketing's lead scoring, routing requirements, and data quality processes in partnership with ...

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Data Automation information

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How much do data automation jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data automation in Seattle, WA is $50.55, according to ZipRecruiter salary data. Most workers in this role earn between $31.22 and $72.33 per hour, depending on experience, location, and employer.

What is a data automation?

A Data Automation job involves designing, developing, and maintaining automated systems to collect, process, and analyze data efficiently. Professionals in this role use programming, scripting, and data integration tools to streamline workflows and reduce manual effort. They work with databases, ETL processes, APIs, and automation frameworks to ensure data accuracy and accessibility. The goal is to improve efficiency, reduce errors, and enable data-driven decision-making. This role is common in industries such as finance, healthcare, e-commerce, and technology.

What are the typical responsibilities of a data automation professional?

Data Automation professionals are responsible for designing, developing, and maintaining automated workflows that process, cleanse, and move large sets of data across various platforms. On a daily basis, they may create scripts, monitor data pipelines, troubleshoot integration issues, and optimize processes for better efficiency. They frequently collaborate with data analysts, engineers, and business teams to ensure that automated systems align with company goals and provide accurate, timely data. This dynamic environment allows for continuous learning and contributes significantly to data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive in data automation, and why are they important?

To excel in Data Automation, you generally need strong analytical skills, fluency with data manipulation, and a background in computer science, data engineering, or a related field. Familiarity with tools such as Python, SQL, ETL platforms, and automation frameworks, as well as relevant certifications like Certified Data Professional (CDP), is highly valued. Problem-solving abilities, attention to detail, and effective collaboration are essential soft skills for this role. These qualifications enable professionals to efficiently streamline data processes, reduce manual errors, and deliver reliable, scalable solutions for business intelligence.

What job categories do people searching Data Automation jobs in Seattle, WA look for?

The top searched job categories for Data Automation jobs in Seattle, WA are:

Infographic showing various Data Automation job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $105,135 per year, or $50.5 per hour.

MAC Automation & Analytics Engineer, Leo MAC

Amazon

Redmond, WA • On-site

Full-time

Re-posted 17 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,146 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

Overview:
We are seeking an engineer to build and own the MAC Analyzer and MAC feature automation framework. This role sits at the intersection of automation, data analytics, and MAC domain expertise, with the goal of democratizing MAC-level diagnostics and ensuring robust automated validation of MAC features across releases.
Role Summary:
The MAC Analyzer will leverage computational analysis against SDN and telemetry databases to systematically examine contacts, identify problem areas, and surface actionable insights. The tool will enable anyone across teams to run MAC-level diagnostics without requiring deep domain expertise, delivering more consistent and thorough analysis than manual methods allow

Additionally, this role will own the MAC feature automation framework to ensure all MAC features are continuously validated across releases with minimal manual intervention.
Key Responsibilities:
MAC Analytics
Design and develop the MAC Analyzer tool with ML-based anomaly detection and predictive capabilities, encoding experienced MAC engineer diagnostic methodologies into automated workflows that interface with SDN and telemetry databases
Build self-improving analytical pipelines that automate triage, root cause analysis, and reporting from raw telemetry data, trained on historical contact data and engineer patterns
Create intuitive interfaces that make MAC diagnostics accessible to non-domain experts, continuously expanding coverage based on new failure modes and field observations
MAC Feature Automation
Design, develop, and maintain an automated test framework covering MAC features (QoS, scheduling, grant handling, multicast, traffic shaping) integrated into the payload test framework and release qualification loop
Automate scenario-based testing for complex MAC configurations (simplex DL/UL combinations, MCS edge cases, burst handling) with traffic generation tools that replicate field conditions in lab environments
Build regression suites with comprehensive test coverage metrics, collaborating with the release team to ensure seamless integration into the release testing pipeline
Qualifications:
Experience in software development with strong data analysis and test automation skills
Familiarity with database querying (SDN, telemetry, or similar systems)
Ability to translate complex engineering heuristics into algorithmic workflows
Experience building test frameworks and automation pipelines
Experience with machine learning frameworks and data processing at scale
Experience building tools or platforms used by cross-functional teams
Strong communication skills to work with domain experts and capture analytical approaches
Preferred:
Background in wireless/MAC layer systems or telecommunications
Experience with telemetry data pipelines and observability tooling
Familiarity with statistical analysis, anomaly detection, and time-series forecasting
Experience with release qualification processes and CI/CD integration
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S

as a refugee or granted asylum.


What Amazon employees say

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US