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Freelance Data Pipeline Engineer Jobs (NOW HIRING)

Social Factor

Freelance Data Analyst

Austin, TX · On-site

This temporary freelance role could be ~20 hours/week depending on the new business pipeline ... This position requires a demonstration of technical aptitude that translates into programming and ...

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How much do freelance data pipeline engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for freelance data pipeline engineer in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What does a freelance data pipeline engineer do?

A Freelance Data Pipeline Engineer is responsible for designing, building, and maintaining systems that move and process data efficiently between different sources and destinations. They work on extracting data from various sources, transforming it into usable formats, and loading it into databases or data warehouses. As freelancers, they work independently or on contract for different clients, adapting to various data environments and project requirements. Their work ensures that businesses have access to accurate, timely, and well-structured data for analytics and decision-making.

What are some common challenges faced by freelance data pipeline engineers when working with multiple clients?

Freelance Data Pipeline Engineers often navigate the challenge of adapting to diverse data architectures, tools, and workflows across different clients. Each organization may use unique cloud platforms, data storage solutions, and security protocols, requiring quick learning and flexibility. Additionally, managing communication and expectations remotely, especially when stakeholders are in different time zones, can be demanding. Successfully balancing multiple projects also requires strong organizational skills and the ability to prioritize tasks effectively.

What are the key skills and qualifications needed to thrive as a freelance data pipeline engineer, and why are they important?

To thrive as a Freelance Data Pipeline Engineer, you need strong skills in data modeling, ETL development, and proficiency with programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with tools such as Apache Airflow, Spark, SQL databases, and cloud platforms like AWS or Google Cloud, along with relevant certifications, is often required. Excellent problem-solving, communication, and project management skills set outstanding freelancers apart in client-facing environments. These competencies ensure robust, scalable data pipelines that deliver reliable insights and meet diverse client requirements.
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Freelance Data Pipeline Engineer jobs near you
Infographic showing various Freelance Data Pipeline Engineer job openings in the United States as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Freelance Data Analyst

Social Factor

Austin, TX • On-site

Temporary

Posted 6 days ago

Job description

Social Factor is looking to find US-based, qualified, available freelance Data Analysts to jump in on projects or new business opportunities that are currently in the pipeline. The role will be focused primarily on Sprinklr Implementation projects like building dashboards, query/topic writing, report writing, etc. This temporary freelance role could be ~20 hours/week depending on the new business pipeline.
Qualifications & Responsibilities:
  • Advanced hands-on experience with Sprinklr, particularly Social Listening, Reporting, and Insights.
  • Build, test, refine, and maintain complex Boolean queries, listening topics, themes, and keyword groups.
  • Configure Sprinklr rules, tags, custom fields, classifications, and automated workflows to support accurate reporting and analysis.
  • Design and maintain Sprinklr dashboards, widgets, filters, and reporting views aligned with client and business objectives.
  • Perform quality assurance on queries, dashboards, tagging structures, data accuracy, calculations, and report outputs.
  • Adapt dashboards and reports for different audiences, including analysts, client teams, senior leaders, and executives.
  • Work independently in a remote freelance environment and communicate proactively about progress, questions, risks, and deadlines.
  • Create or follow established templates, methodologies, naming conventions, documentation standards, and quality-control processes.
  • Experience with Excel or Google Sheets and PowerPoint or Google Slides; experience with additional social listening, data visualization tools (Data Studio previously known as Looker Studio) or business intelligence platforms is a plus.
  • Apply strong understanding of social media metrics, earned and owned media measurement, sentiment analysis, and digital analytics.
  • Manage multiple reporting assignments and deadlines while maintaining accuracy, consistency, and attention to detail.

  • This position requires a demonstration of technical aptitude that translates into programming and/or software deployment management; 2-4 years of Sprinklr experience.
  • Minimum of Windows 10 and macOS 12.X
  • Internet speed requirement of a minimum of 50 mbps

Social Factor Culture
Social Factor is a social media agency that believes in the power of Human Connection. Our talented teams take the fear out of scale and unleash our clients' brands to listen, reach, and respond. Here at Social Factor, we encourage our employees to embrace the casual atmosphere of a growing dynamic agency. Our team members are humble yet bold, motivated and hardworking, ready to serve and help others, and always interested in the latest the digital world has to offer. If this describes you, we'd love to hear from you!

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