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Data Automation Jobs (NOW HIRING)

Jj

Lead-Data Automation and Excellence

Titusville, NJ · On-site

The Technology Lead, Data Automation and Excellence is a senior individual contributor and technical leader responsible for leading a technology squad in the plan, design, monitor build and operation ...

Alpha Consulting Corp.

Gen AI - Data Automation Engineer

$117K - $140K/yr

They are seeking a Data Automation Engineer to design and implement AI-driven automation solutions across AWS and Azure environments, focusing on building scalable data pipelines and automations for ...

Scalence L.L.C.

Gen AI - Data Automation Engineer

$117K - $140K/yr

They are seeking a Data Automation Engineer to design and implement AI-driven automation solutions across AWS and Azure environments, focusing on building scalable data pipelines and automating ...

AppFolio

Staff Data & Automation Engineer

San Diego, CA · On-site

$152K - $190K/yr

Your Impact As the Staff Marketing Data & Automation Engineer, you will be a senior individual contributor responsible for designing and operationalizing applied AI capabilities within our Marketing ...

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How much do data automation jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for data automation in the United States is $46.70, according to ZipRecruiter salary data. Most workers in this role earn between $28.85 and $66.83 per hour, depending on experience, location, and employer.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role of a data analyst involves skills like critical thinking, domain knowledge, and data storytelling that AI currently cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

Will AI replace automation engineer?

AI automation engineers design and implement automated systems using AI and machine learning tools. While AI can handle repetitive tasks and improve efficiency, human expertise is still essential for system design, troubleshooting, and adapting to complex problems. Therefore, AI is more likely to augment rather than fully replace automation engineers.

What is data automation?

Data automation in a job context involves using software tools and scripts to automatically collect, process, and manage data, reducing manual effort and increasing efficiency. Data automation specialists often work with programming languages, databases, and automation platforms to streamline data workflows and ensure accuracy.

What are typical responsibilities of a Data Automation professional on a day-to-day basis?

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 the Data Automation position, 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 job?

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.

How much do AI automation jobs pay?

AI automation jobs, including roles like Data Automation specialists, typically offer salaries ranging from $70,000 to over $120,000 annually, depending on experience, location, and skill level. Professionals with expertise in machine learning, programming, and automation tools tend to earn higher wages, especially in tech hubs or companies investing heavily in AI development.
More about Data Automation jobs
What cities are hiring for Data Automation jobs? Cities with the most Data Automation job openings:
What are the most commonly searched types of Data Automation jobs? The most popular types of Data Automation jobs are:
What states have the most Data Automation jobs? States with the most job openings for Data Automation jobs include:
What job categories do people searching Data Automation jobs look for? The top searched job categories for Data Automation jobs are:
Data Automation jobs near you
Infographic showing various Data Automation job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $97,139 per year, or $46.7 per hour.
Data & Automation Engineer

Data & Automation Engineer

ClearBridge Investments

New York, NY • On-site

$125K - $150K/yr

Full-time

Medical, Retirement, PTO

Posted 22 days ago

Job description

About ClearBridge Investments
ClearBridge Investments is an active equity manager offering a broad range of strategies across global developed and emerging markets, local markets, and real assets. The firm manages more than $200 billion as of September 30, 2025.
ClearBridge manages diversified, high-conviction portfolios through collaborative fundamental research to meet the needs of some of the world's largest asset owners and financial intermediary platforms. We invest as long-term, risk-aware business owners and seek to deliver consistency of process and performance for our clients through market cycles. A focus on durability drives everything we do; from the business models of the companies we own, to the holding periods of our portfolios, to the stability and longevity of our investment professionals.
As Franklin Templeton's largest equity specialist, ClearBridge operates with investment autonomy from headquarters in New York and offices in Baltimore, Calgary, Edinburgh, Fort Lauderdale, Leeds, London, Melbourne, and Sydney. ClearBridge Investments has been named by Pensions & Investments Magazine (P&I) as one of the Best Places to Work in Money Management for the thirteenth year in a row. These awards reflect the Firm's diverse and inclusive culture, spirit of collaboration, work/life balance and our ongoing investment in our employees.
Job Summary:
ClearBridge Investments is seeking a highly skilled and motivated Data Engineer who also possesses robust data analysis capabilities to design, build, and maintain our data infrastructure and transform raw data into actionable insights. This hybrid role involves ensuring data reliability and accessibility while also performing deep-dive analysis to support data-driven decision-making across the organization.
Key Responsibilities and Duties Include, but not Limited to:
  • Data Pipeline Development: Design, implement, and optimize scalable ETL/ELT pipelines to ingest, process, and transform large volumes of structured and unstructured data from diverse sources.
  • Data Modeling and Architecture: Design and maintain data models, schemas, and database structures (relational, NoSQL, data lakes, data warehouses) to support analytical and operational use cases.
  • Data Analysis & Insight Generation: Analyze large datasets to identify patterns, trends, and correlations, translating complex technical findings into clear, non-technical business recommendations for stakeholders.
  • Collaboration and Stakeholder Support: Partner closely with QA engineers, analysts, product managers, and executive teams to understand data requirements and assist with data-related technical issues.
  • Data Quality and Governance: Implement quality checks, validation rules, monitoring, and alerting systems to ensure data accuracy, consistency, and integrity across all data assets.
  • Performance Optimization: Troubleshoot and optimize data storage and retrieval processes and SQL queries for maximum performance and cost efficiency.
  • Documentation and Best Practices: Document data pipelines, schemas, and business logic, and advocate for best practices in data engineering and data governance.

Qualifications and Experience
  • 3-5+ years in data engineering or related roles, with proven data analysis experience.
  • Bachelor's degree in technical fields such as Computer Science, Engineering, Mathematics, or Statistics.
  • Experience working within the Asset Management industry preferred.
  • Relevant professional certifications.

Technical Skills
  • Programming Languages: Proficiency in SQL and at least one language like Python, Java, or Scala.
  • Data Technologies: Experience with cloud platforms (AWS, Azure, Snowflake) and data processing frameworks such as FiveTran, DBT, and Alteryx.
  • Analytical Skills: Strong analytical and problem-solving abilities to interpret data and communicate insights effectively.
  • Tools: Familiarity with data visualization and reporting tools (e.g., SSRS, Tableau, Power BI) and workflow orchestration tools (e.g., Airflow, AutoSys).
  • Knowledge of data governance tools and practices.

Soft Skills
  • Excellent communication and collaboration skills, particularly in team-oriented environments.
  • Strong analytical & troubleshooting skills

TOTAL REWARDS
Our employees have access to a competitive and valuable set of Total Rewards. Our Total Rewards include:
  • Health, wellness and risk benefits to protect employees and their families
  • Retirement savings, stock purchase and other incentive programs to help employees plan for the future
  • Holiday, paid-time-off and other employee programs that support work-life balance
  • Support for pursuing certifications, external education and degree programs
  • Learning, development and career advancement opportunities
  • Ways to get involved in, and give back to, our communities, including paid time off for volunteering and charitable donation matching
  • The salary range for this position is targeted for $125,000 to $165,000 plus discretionary bonus. Base pay offered may vary depending on job related knowledge, skills, and experience

ClearBridge is an Equal Opportunity Employer. We are committed to equal employment opportunity for all applicants and existing employees and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.
If you believe that you need an accommodation or adjustment to search for, or apply for, one of our positions please send an email to accommodations@FranklinTempleton.com . In your email, please include the accommodation or adjustment you are requesting and the job title and job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only requests for accommodations will receive a response.

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