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Data Automation Engineer Jobs (NOW HIRING)

Data Automation Specialist Harper is an AI-native commercial insurance company in San Francisco. We ... You're not a data engineer building pipelines from scratch, and you're not a data analyst running ...

Develops control and automation system designs by studying project concepts, objectives and ... data to identify and resolve performance problems. * Documents engineering design by recording ...

Develops control and automation system designs by studying project concepts, objectives and ... data to identify and resolve performance problems. * Documents engineering design by recording ...

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You'll also experiment with AI-powered testing tools to accelerate coverage, generate test data ... Test Automation Engineer, Software Automation Engineer, Quality Automation Engineer, Automation ...

Job Title: MES Automation Engineer. We are looking for MES Automation Engineer, to provide ... Work in a way that models respect for safety and EHS, quality compliance, data integrity, and ...

Develops control and automation system designs by studying project concepts, objectives and ... data to identify and resolve performance problems. * Documents engineering design by recording ...

Automation Engineer - Power Automate (Healthcare Operations) Contract to Permanent We're hiring an ... Use AI tools to clean and interpret data from forms and communications * Monitor automation ...

Automation Engineer

Eden Prairie, MN · On-site

$90K - $140K/yr

AUTOMATION ENGINEER Location: Eden Prairie, MN | Hybrid Schedule: Full-Time Salary: $90,000 - $140 ... Support APIs, data pipelines, and data exchange workflows that connect engineering design tools ...

Automation Engineer Location: New Albany, OH Position Summary Seeking a mid-level Automation ... Ensure compliance with cGMP, FDA, 21 CFR Part 11, data integrity, and safety requirements.

This role is focused on digital business-process automation, not ownership of industrial equipment controls or core data platform architecture. The Automation Engineer will work closely with the AI ...

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Data Automation Analyst / Process Engineer Location: Charlotte, NC 28202 (550 S Tryon) Duration: 6 months + Contract to hire/extendable Job Type: Hybrid Role - 3 day in office, 2 day remote weekly ...

Collaborate with the Automation Engineer Lead to gather and analyze data for reporting purposes, ensuring accuracy and relevance. Preferred Skills: * Self-starter, constantly looking for ways to ...

Title: Automation Engineer Comp: $95,000-$100,000 Location: Lancaster, OH Our client is seeking ... and data-driven analysis Develop and integrate machine vision systems for inspection, quality ...

Apply engineering principles and practices across automation, controls, robotics, and integrated ... Support site computer systems validation (CSV) activities and data integrity requirements. * Work ...

Perform advanced troubleshooting of automation-related issues using data analytics and diagnostic ... PLC programming certifications, robotics experience, machine vision systems expertise preferred

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Data Automation Engineer information

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$37K

$107.1K

$163K

How much do data automation engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for data automation engineer in the United States is $107,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $123,500.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their expertise is crucial for integrating AI tools effectively. The role continues to evolve, emphasizing skills in cloud platforms, programming, and data architecture.

What are some typical challenges a Data Automation Engineer faces when integrating new automation tools into existing data pipelines?

Data Automation Engineers often encounter challenges related to compatibility and scalability when introducing new automation tools to established data pipelines. Legacy systems may have limitations that require creative solutions to ensure seamless integration without disrupting ongoing processes. Additionally, maintaining data quality and consistency during transitions is critical, as is collaborating with cross-functional teams—such as data analysts, IT, and software developers—to align on requirements and troubleshoot issues. Proactive communication and thorough documentation can help overcome these challenges and ensure successful automation implementation.

What are Data Automation Engineers?

Data Automation Engineers are professionals who design, develop, and maintain automated systems to collect, process, and analyze data. They use programming, scripting, and various data tools to streamline data workflows, reduce manual intervention, and improve efficiency. Their work often involves building data pipelines, integrating data from multiple sources, and ensuring data quality and reliability. By automating repetitive data tasks, they help organizations make faster, data-driven decisions. Data Automation Engineers typically collaborate with data analysts, data scientists, and IT teams to support business objectives.

What are the key skills and qualifications needed to thrive as a Data Automation Engineer, and why are they important?

To thrive as a Data Automation Engineer, you need strong skills in programming (such as Python or Java), data integration, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, automation frameworks (like Apache Airflow), and cloud platforms (such as AWS or Azure) is also essential, along with relevant certifications. Attention to detail, problem-solving abilities, and effective communication are key soft skills for identifying automation opportunities and collaborating across teams. These skills are crucial for designing efficient, scalable solutions that streamline data workflows and support business intelligence needs.

What does a data automation engineer do?

A data automation engineer designs, develops, and maintains systems that automate data collection, processing, and analysis to improve efficiency and accuracy. They often work with tools like scripting languages, ETL platforms, and cloud services to streamline data workflows and support data-driven decision-making.

What is the difference between Data Automation Engineer vs Data Analyst?

AspectData Automation EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of scripting and automation toolsBachelor's in Statistics, Math, or related; proficiency in data visualization and analysis tools
Work EnvironmentFocus on developing automation pipelines, scripting, and optimizing data workflowsFocus on interpreting data, creating reports, and providing insights
Employer & Industry UsageTech companies, data-driven organizations, IT departmentsMarketing firms, finance, healthcare, research institutions

The main difference is that Data Automation Engineers focus on building and maintaining automated data processes, while Data Analysts interpret data to generate insights. Both roles require strong technical skills, but their core responsibilities differ significantly.

What engineers make $300,000 a year?

Senior data automation engineers, especially those with extensive experience, advanced skills in scripting, cloud platforms, and automation tools, can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized expertise, or leadership positions in data engineering and automation fields.

What engineers make $500,000?

Senior data automation engineers with extensive experience, specialized skills in scripting, cloud platforms, and automation tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large organizations. Achieving this level often requires advanced certifications, leadership roles, and a strong track record of delivering complex automation solutions.
More about Data Automation Engineer jobs
What cities are hiring for Data Automation Engineer jobs? Cities with the most Data Automation Engineer job openings:
What states have the most Data Automation Engineer jobs? States with the most job openings for Data Automation Engineer jobs include:
Infographic showing various Data Automation Engineer job openings in the United States as of June 2026, with employment types broken down into 7% As Needed, 86% Full Time, and 7% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $107,126 per year, or $51.5 per hour.
Engineering Manager - Data Automation

Engineering Manager - Data Automation

Klaviyo

Boston, MA • Hybrid

Other

Posted 27 days ago


Job description

At Klaviyo, we love tackling tough engineering problems and look for engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last.

Team Overview:

Klaviyo operates a real-time data analytics platform written primarily in Python that is built for massive scale and hosted on Amazon Web Services (AWS). The Data Automation team builds tooling and establishes best practices and technology choices that help enable the Data Platform area to power core Klaviyo functionality and generate data-driven insights.

As a founding member on the Data Automation team, you will have ownership over defining the technical and organizational vision for the team. You will be responsible for leading the team to design and build systems that help us operate our mission critical analytics infrastructure.

Team Tech Stack:

  • AWS
  • Terraform
  • Python
  • Kubernetes
  • Clickhouse
  • DynamoDB
  • MySQL
  • Kafka
  • Spark
  • Flink
  • Airflow

How You'll Make a Difference

  • You will be responsible for building and managing a team of 7+ engineers to fulfill your data automation vision and roadmap.
  • Responsible for coaching engineers, managing/reviewing technical documentation and articulating a phased approach to achieving the team's overall technical vision.
  • Be responsible for the mission, technical direction and operations of projects that have immediate impact.
  • Wholly owning the frameworks that enable us to provision, update, test, monitor, and scale infrastructure to power features that 183,000+ customers rely on daily to reach 4B+ consumers to drive their business forward.
  • Optimizing infrastructure with the teams that own Klaviyo's analytics system that provides insight on hundreds of terabytes of data.
  • Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Required Skills

  • BA or BS Degree in Computer Science, related field, or equivalent experience
  • 8+ years of software engineering experience in a DevOps environment with specific experience in data processing systems.
  • 3+ years of people management experience
  • Hands-on experience designing, building, and operating reliable, fault-tolerant, and high performance distributed systems
  • Ability to handle yourself in outage situations and to drive failures to root cause analysis and prevention of future issues
  • Experience writing code using best practices in a language such as Python, Ruby, Go, etc.
  • You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
  • Proven ability to come up to speed quickly
  • Hybrid office work 3x/week out of our Boston office

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

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