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$46K

$165K

$243.5K

How much do remote data acquisition jobs pay per year?

As of Jun 16, 2026, the average yearly pay for remote 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.

How to make $1000 a week remotely?

Remote data acquisition roles can generate $1000 or more weekly by completing high-volume data collection tasks, leveraging skills in data entry, research, or analysis, and using online platforms that pay per project or task. Building a consistent workflow, improving efficiency, and gaining relevant certifications can help increase earnings in this field.

Are there legit remote data entry jobs?

Remote data entry jobs are legitimate opportunities that involve inputting information into digital systems from home. They typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. However, job seekers should research employers carefully to avoid scams and verify the legitimacy of the position before applying.

How to make $80,000 a year working from home?

Remote data acquisition roles can pay $80,000 or more annually by gaining relevant skills in data collection, analysis, and tools like SQL or Python. Building experience, specializing in high-demand data sources, and working for established companies or consulting can help achieve this income level while working from home.

What are remote data acquisition jobs?

Remote data acquisition jobs involve collecting, monitoring, and analyzing data from various sources without being physically present on-site. Professionals in this field use specialized software, devices, and communication networks to access real-time or stored data from remote locations. These roles are common in industries like environmental monitoring, energy, manufacturing, and IT, where sensors or systems transmit data to centralized platforms. Responsibilities often include configuring data acquisition systems, ensuring data quality, troubleshooting connectivity issues, and reporting findings to stakeholders.

What are some common challenges faced by professionals in remote data acquisition roles, and how can they be managed?

Professionals in remote data acquisition often face challenges such as ensuring data accuracy from decentralized sources, maintaining secure data transmission, and managing technical issues without on-site support. To overcome these, it's important to establish clear data validation protocols, use reliable remote monitoring tools, and maintain regular communication with both technical and non-technical team members. Building strong documentation habits and participating in virtual training sessions can also help address these challenges effectively.

How can I make 2000 a week working from home?

Remote data acquisition roles can offer high earning potential through consistent project work, especially if you develop strong data collection, analysis, and communication skills. To reach $2000 weekly, you may need to work multiple projects or clients, often requiring experience with data tools and self-management in a flexible schedule.

What is the difference between Remote Data Acquisition vs Remote Data Collection?

AspectRemote Data AcquisitionRemote Data Collection
Primary FocusGathering data from various sources, often involving specialized tools and technical processesCollecting data directly from individuals or sources, often through surveys or forms
Required SkillsTechnical skills, data analysis, familiarity with data acquisition toolsCommunication skills, survey design, data entry
Work EnvironmentTechnical settings, remote or on-site labs, fieldworkRemote, office, or field environments
Common IndustriesResearch, engineering, data servicesMarket research, social sciences, healthcare

Remote Data Acquisition involves technical processes to gather data from various sources, often requiring specialized skills. In contrast, Remote Data Collection focuses on gathering data directly from individuals or sources, typically through surveys or forms. Both roles are essential in data-driven industries but differ in methods and skill requirements.

What are the key skills and qualifications needed to thrive as a Remote Data Acquisition Specialist, and why are they important?

To thrive as a Remote Data Acquisition Specialist, you need a strong background in data collection methodologies, analytical skills, and experience with data management, often supported by a degree in computer science, information systems, or a related field. Proficiency with data acquisition tools, APIs, web scraping technologies, and familiarity with database systems like SQL are typically required. Attention to detail, problem-solving skills, and effective remote communication are valuable soft skills for this role. These competencies ensure accurate data gathering, efficient workflow, and reliable collaboration with distributed teams.
More about Remote Data Acquisition jobs
What cities are hiring for Remote Data Acquisition jobs? Cities with the most Remote 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 Remote Data Acquisition jobs? States with the most job openings for Remote Data Acquisition jobs include:
What job categories do people searching Remote Data Acquisition jobs look for? The top searched job categories for Remote Data Acquisition jobs are:
Remote Data Acquisition jobs near you
Infographic showing various Remote Data Acquisition job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Sr Manager Software Engineering - Data Acquisition

eNett

Bodega Bay, CA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

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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