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Data Automation Engineer Jobs (NOW HIRING)

Collaborate with Data Engineering, Database, and Architecture teams to architect, develop, and deploy scalable automation, AI, and data quality solutions that support current business needs and ...

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 ...

What You will Do We are seeking a skilled AI/Automation Engineer to support our Transaction ... In this role, you will combine data analytics, workflow automation, and agentic AI development to ...

WhatYou willDo We are seeking a skilled AI/Automation Engineer to support our Transaction Services ... In this role, you will combine data analytics, workflow automation, and agentic AI development to ...

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 ...

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 ...

Data Automation Specialist

San Francisco, CA · On-site

$120K - $160K/yr

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 ...

Working as a member of the Data team, the Automation Engineer partners closely with Information Technology, Human Resources, Operations, Finance, Facilities, Marketing, and Corporate Services to ...

Automation Engineer

Murrieta, CA · On-site

$60 - $80/hr

Working as a member of the Data team, the Automation Engineer partners closely with Information Technology, Human Resources, Operations, Finance, Facilities, Marketing, and Corporate Services to ...

Working as a member of the Data team, the Automation Engineer partners closely with Information Technology, Human Resources, Operations, Finance, Facilities, Marketing, and Corporate Services to ...

Working as a member of the Data team, the Automation Engineer partners closely with Information Technology, Human Resources, Operations, Finance, Facilities, Marketing, and Corporate Services to ...

Automation Engineer We are seeking an experienced Sr. Automation Engineer to lead and support site ... Experience with data integrity requirements and audit-ready automation documentation. * Prior ...

Automation Engineer We are seeking an Automation Engineer to design, support, optimize, and improve ... Monitor equipment performance and utilize data analysis to drive continuous improvement initiatives.

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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 Sep 9, 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.

What is a data automation engineer?

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 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 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 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.

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Infographic showing various Data Automation Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $107,126 per year, or $51.5 per hour.

Engineering Manager - Data Automation

Boston, MA • On-site

$150 - $200/hr

Other

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


Job description

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.

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 s
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