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Data Automation Jobs in Austin, TX (NOW HIRING)

Key Responsibilities Trade Data & Automation Program Ownership * Own the enterprise trade data strategy across Import, Export, and FTZ operations. * Establish and govern trade KPIs, metrics ...

Automation tester

Austin, TX · On-site

$45.75 - $60.25/hr

Austin, TX Requirement : • Test Automation Developer • Experience designing, creating, and maintaining test automation scripts using test automation frameworks • Experience creating test data ...

Troubleshoot and resolve issues related to automation, control, and data connectivity systems. * Collaborate with cross-functional teams to identify automation opportunities and requirements.

Integrate data sources to the data warehouse of choice including operations data, workforce data ... Build and lead a team of automation engineers and reporting analysts, setting strategic direction ...

Austin State : Texas Neos is seeking a Cyber Automation Engineer with experience in security ... Operate within environments that manage highly sensitive or regulated data. Required Skills ...

Automation Engineer Location: Georgetown, TX Employment Type: Direct Hire Salary: $130,000 Work ... Experience with predictive maintenance and data-driven manufacturing optimization * Familiarity ...

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Data Automation information

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How much do data automation jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for data automation in Austin, TX is $45.82, according to ZipRecruiter salary data. Most workers in this role earn between $28.30 and $65.57 per hour, depending on experience, location, and employer.

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 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 most commonly searched types of Data Automation jobs in Austin, TX? The most popular types of Data Automation jobs in Austin, TX are:
What cities near Austin, TX are hiring for Data Automation jobs? Cities near Austin, TX with the most Data Automation job openings:
Infographic showing various Data Automation job openings in Austin, TX as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $95,312 per year, or $45.8 per hour.

Data and Automation Engineer - Python

Plum Inc

Austin, TX • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

About the Role

We're looking for an AI-Enabled Data & Automation Engineer who thrives on solving complex data challenges through software and automation.

You'll be responsible for building scalable data pipelines, integrating data from multiple SaaS platforms, developing automation that powers lead generation and enrichment, and leveraging AI to dramatically accelerate development. You'll work with modern technologies including Python, Databricks, and LLM-powered tools to build solutions that directly impact business growth.

This role is ideal for someone who enjoys building, experimenting with new technologies, and continuously finding better and faster ways to solve problems.

Responsibilities
  • Design, build, and maintain scalable data pipelines for ingesting, processing, and enriching large datasets.
  • Develop Python-based automation for data collection, transformation, validation, and workflow orchestration.
  • Build and optimize data processing workflows using Databricks, PySpark, SQL, and Delta Lake.
  • Integrate and process data from multiple SaaS platforms through REST APIs and other integrations.
  • Develop scalable workflows for lead generation, company and contact enrichment, and sales intelligence.
  • Implement processes for data cleansing, deduplication, entity resolution, normalization, and contact/company matching.
  • Process structured, semi-structured, and JSON data from a variety of internal and external sources.
  • Collaborate with product, engineering, and go-to-market teams to translate business requirements into scalable technical solutions.
  • Identify opportunities to automate repetitive processes and improve operational efficiency.
  • Continuously evaluate and adopt new AI tools and technologies that improve development speed and data quality.

Requirements

Technical Skills
  • 3–7+ years of experience in Data Engineering, Marketing Operations, Sales Operations, or a related technical field.
  • Strong Python programming skills with experience in data processing, automation, and API integrations.
  • Experience with Databricks, PySpark, SQL, and Delta Lake.
  • Experience integrating and processing data from multiple SaaS platforms via APIs.
  • Strong understanding of lead enrichment, data quality, deduplication, entity resolution, and contact/company matching.
  • Experience working with structured, semi-structured, and JSON data.
  • Familiarity with Git and modern software development practices.
  • Undergraduate Degree in Computer Science, Engineering, Physics or other relevant degree
AI & Productivity
  • Heavy user of AI coding tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, or similar AI development assistants.
  • Demonstrated ability to leverage AI to accelerate software development, automate workflows, improve data quality, and increase productivity.
  • Comfortable rapidly prototyping, testing, and iterating using AI-assisted development.
Preferred Qualifications
  • Hands-on experience with lead generation and sales intelligence platforms such as Apollo, Clay, LinkedIn Sales Navigator, ZoomInfo, or similar tools.
  • Experience with CRM platforms such as Salesforce or HubSpot.
  • Familiarity with LLM APIs and AI-powered applications.
  • Experience working in fast-paced startup environments.
  • Strong communication skills with the ability to work cross-functionally and take ownership from concept through delivery.

Plum AI, Inc looks forward to applicants from US based candidates. We are not working with outside recruiters. We appreciate individual, not AI generated, applications. We may disqualify applicants who use AI in any part of the interview process.

Benefits

What We Offer:
  • A fast-paced, collaborative startup culture with high visibility.
  • Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action.
  • Opportunity to make a meaningful impact in building a company and culture.
  • Equity in a financial technology startup.
  • Generous health, dental, and vision coverage for employees and family members + 401K.
  • Eleven paid holidays and unlimited discretionary vacation days.
  • Competitive compensation and bonus potential.