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Data Acquisition Jobs (NOW HIRING)

OpenAI

Software Engineer, Data Acquisition

San Francisco, CA · On-site

$134K - $162K/yr

They are looking for a skilled Software Engineer to join their Data Acquisition team, responsible for all aspects of data collection to support model training operations. Responsibilities : • Own ...

BCforward

Data Acquisition Analyst

Warsaw, IN · On-site

The role will be responsible for capture, analysis, data dissemination, and follow-up of findings from various sources. As such, the incumbent must be knowledgeable in information technology, data ...

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Data Acquisition information

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How much do data acquisition jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data acquisition in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What profession makes $400,000 a year?

In the field of data acquisition, senior roles such as Data Acquisition Managers or Directors with extensive experience and advanced skills can earn around $400,000 annually, especially in large organizations or specialized industries. High compensation often requires advanced certifications, leadership responsibilities, and expertise in data collection tools and strategies.

What skills are needed for data acquisition?

Data acquisition professionals need strong analytical skills, attention to detail, and proficiency with data collection tools and software such as SQL, Excel, or specialized data management systems. Knowledge of data privacy regulations and the ability to interpret large datasets are also important for effective data gathering and quality assurance.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Chief Data Officer, and Data Engineering Manager tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in data analysis, machine learning, and leadership, and typically demand extensive experience and relevant certifications.

What does a typical day look like for someone working in Data Acquisition?

A typical day in Data Acquisition involves sourcing data from various internal and external sources, ensuring data quality and consistency, and troubleshooting ingestion issues. Professionals in this role frequently collaborate with data scientists and analysts to define data requirements and prepare datasets for analysis. You may also work closely with IT and business stakeholders to ensure data privacy and compliance standards are met. The pace can vary depending on project deadlines, but problem-solving and continual learning are expected parts of the role.

What is a Data Acquisition job?

A Data Acquisition job involves collecting, processing, and managing data from various sources to ensure accuracy and usability. Professionals in this role work with sensors, databases, and software tools to gather real-time or historical data for analysis. They may also develop and maintain data acquisition systems, ensuring seamless data flow. This role is essential in industries like research, engineering, finance, and healthcare, where accurate data is critical for decision-making. Strong analytical skills, technical proficiency, and attention to detail are key for success in this field.

What are the key skills and qualifications needed to thrive in the Data Acquisition position, and why are they important?

To thrive in Data Acquisition, you need strong analytical abilities, attention to detail, and a background in computer science, data engineering, or a related field. Familiarity with data collection tools, databases, scripting languages (such as Python or SQL), and data integration platforms is highly valuable, and relevant certifications (like CompTIA Data+) can be advantageous. Excellent organizational skills, curiosity, and effective communication enable you to navigate large datasets and collaborate with cross-functional teams. These skills are vital for ensuring accurate, efficient, and compliant gathering of data to support business insights and decision-making.

What is the work of data acquisition?

Data acquisition involves collecting, measuring, and recording data from various sources such as sensors, databases, or online platforms. In a data acquisition role, professionals often use tools like data loggers, software, and programming languages to gather accurate data for analysis and decision-making. Attention to detail and knowledge of data collection methods are essential skills in this field.
More about Data Acquisition jobs
What cities are hiring for Data Acquisition jobs? Cities with the most Data Acquisition job openings:
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Data Acquisition jobs near you
Infographic showing various Data Acquisition job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, 14% Temporary, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Software Engineer, Data Acquisition

Software Engineer, Data Acquisition

OpenAI

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Posted 13 days ago

Job description

Job Summary:
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. They are looking for a skilled Software Engineer to join their Data Acquisition team, responsible for all aspects of data collection to support model training operations.
Responsibilities:
• Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search.
• Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability.
• Work closely with the legal team to handle any compliance or data privacy-related matters.
• Develop and deploy highly scalable distributed systems capable of handling petabytes of data.
• Architect and implement algorithms for data indexing and search capabilities.
• Build and maintain backend services for data storage, including work with key-value databases and synchronization.
• Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks.
• Conduct and analyze experiments on data to provide insights into system performance.
Qualifications:
Required:
• BS/MS/PhD in Computer Science or a related field.
• 4+ years of industry experience in software development.
• Strong expertise in large stateful distributed systems and data processing.
• Proficiency in Kubernetes, and Infrastructure-as-Code concepts.
• Willingness and enthusiasm for trying new approaches and technologies.
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.
Preferred:
• Experience with large web crawlers a plus
Company:
OpenAI is an AI research and deployment company that develops advanced AI models, including ChatGPT. It is a sub-organization of OpenAI Foundation. Founded in 2015, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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