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Data Acquisition Jobs (NOW HIRING)

The Senior Director, Data Acquisition and Partnerships, will develop, manage, and optimize data relationships that support and enhance Experian's Financial Services and Data (FSD) business. You will ...

Make your mark for patients Global Head of Data Acquisition We are looking for a Global Head of Data Acquisition who is Collaborative, Curious, and Care focused to join our Integrated Insights ...

Make your mark for patients Global Head of Data Acquisition We are looking for a Global Head of Data Acquisition who is Collaborative, Curious, and Care focused to join our Integrated Insights ...

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Data Acquisition information

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$46K

$165K

$243.5K

How much do data acquisition jobs pay per year?

As of Jul 6, 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 does data acquisition do?

Data acquisition involves collecting and measuring information from various sources, such as sensors, instruments, or databases, to be used for analysis or decision-making. In a data acquisition role, professionals often work with specialized tools and software to ensure accurate and efficient data collection. This process is essential in fields like engineering, research, and technology development.

What jobs in the US pay 300,000 a year?

In data acquisition and related fields, senior roles such as Data Acquisition Managers, Data Scientists, and Data Engineers with extensive experience and advanced skills can reach or exceed a $300,000 annual salary. These positions often require advanced degrees, certifications, and expertise in data tools, analytics, and programming, typically working in high-demand industries or large organizations. Compensation varies based on experience, location, and company size.

What is the salary of data acquisition expert?

The salary of a data acquisition expert typically ranges from $60,000 to $120,000 annually, depending on experience, industry, and location. Professionals in this role often require skills in data collection tools, database management, and data analysis.

What is a data acquisition job?

A data acquisition job involves collecting, measuring, and recording data from various sources for analysis and decision-making. It often requires skills in data collection tools, sensors, or software, and may involve working with large datasets or real-time data streams.

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.

More about Data Acquisition jobs
What cities are hiring for Data Acquisition jobs? Cities with the most Data Acquisition job openings:
What are the most commonly searched types of Data Acquisition jobs? The most popular types of Data Acquisition jobs are:
What states have the most Data Acquisition jobs? States with the most job openings for Data Acquisition jobs include:
Infographic showing various Data Acquisition job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 9% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Sr Manager Software Engineering - Data Acquisition

Sr Manager Software Engineering - Data Acquisition

WEX

Boston, MA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


WEX Inc. rating

7.3

Company rating: 7.3 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

14th of 20 rated payment service providers


Job description

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA.

About the Team/Role

As WEX continues to scale its Data-as-a-Service (DaaS) platform, the Data Acquisition Team plays a critical role in enabling secure, scalable, and reliable ingestion of data from hundreds of internal systems and external sources.

We are seeking a hands-on Senior Manager, Software Engineering - Data Acquisition to lead our team in acquiring and processing high-volume data, while simultaneously driving the evolution toward AI-augmented, spec-driven software development to enhance platform scalability and delivery speed.

This role requires a strong leader with deep technical expertise in data pipelines, distributed systems, and cloud architecture, who can drive technical excellence, foster a culture of innovation, and align the data acquisition strategy with overall business goals.

Responsibilities:

  • Engineering Leadership & Team Development: Recruit, mentor, and lead a high-performing team of software engineers focused on data acquisition, fostering a collaborative and inclusive culture. Oversee performance management, career pathing, and top-tier talent acquisition.

  • AI-Augmented Development Strategy: Pioneer the adoption of AI-assisted software development across engineering teams. Define metrics and implement AI-enabled development workflows to measurably enhance engineering productivity.

  • Specification-Driven Development (SDD): Establish and enforce a specification-first development methodology. Standardize templates for all key artifacts (APIs, data contracts, ingestion pipelines, architecture) and ensure end-to-end traceability across implementation, validation, deployment, and observability.

  • Architectural Transformation & Modernization: Drive the migration to automated, metadata-driven, and declarative engineering architectures. Develop reusable frameworks that translate technical specifications directly into generated code, deployment artifacts, and operational controls.

  • Strategic Roadmap Execution: Define and execute the technical roadmap for all data acquisition pipelines and systems, ensuring the infrastructure is highly scalable, reliable, secure, and cost-effective to accommodate accelerating data volume and velocity.

  • Technical Governance & Oversight: Provide authoritative technical direction on the design, development, and maintenance of mission-critical data ingestion frameworks. Mandate and enforce best practices for software engineering, data governance, and data quality.

  • Stakeholder Collaboration: Partner closely with Product Management, Data Science, Data Governance, and other engineering teams to align data solutions with overarching business requirements and strategic data needs.

  • Engineering Process Optimization: Institute and champion continuous improvement in engineering processes, tools, and methodologies, including CI/CD, automation, monitoring, and alerting practices.

  • Sustained Operational Excellence: Guarantee the high availability and performance of all data acquisition systems, taking ownership of incident response, recovery, and thorough root cause analysis for major service disruptions.

  • Resource & Financial Stewardship: Oversee budget allocation, resource management, and capacity planning to ensure the strategic growth of the data acquisition organization.

Qualifications:

  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

  • Experience: 10+ years of experience in software engineering, with at least 5+ years in a management role overseeing software engineering or data acquisition teams.

  • Experience in leading virtual teams is highly desirable

  • Technical Expertise:

    • Experience implementing AI-assisted engineering workflows in production software organizations.

    • Deep understanding of specification-driven engineering, declarative system design, or model-driven development.

    • Deep expertise in building and managing high-volume, real-time and batch data pipelines (e.g., Kafka, Kinesis, Pulsar).

    • Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and experience designing scalable, serverless, or containerized data ingestion architectures (e.g., Kubernetes, EKS/AKS/GKE).

    • Strong knowledge of various data sources, integration patterns (APIs, web scraping, messaging queues), and ETL/ELT tools.

    • Expertise in programming languages such as Java, Python, Scala, or Go.

    • Solid understanding of database technologies (SQL, NoSQL, Data Warehouses like Snowflake, Redshift, etc.).

  • Leadership Skills: Proven ability to lead, motivate, and manage multiple distributed teams. Excellent communication, presentation, and interpersonal skills.

  • Problem Solving: Strong analytical and problem-solving skills, with the ability to define solutions for complex technical challenges.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $175,600.00 - $204,300.00

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