Title: QA Data Engineer

Location: USA-

Job Description:

Who we are:

Since our founding in 2011, our mission has been to improve the lives of seniors and their caregivers. We are deeply passionate about communication and committed to becoming the foremost provider of services and solutions that enable seniors to lead more meaningful and independent lives. We also understand the power of connection and the profound impact it has on the lives of individuals who are hard-of-hearing. By utilizing enhanced automatic speech recognition, human captioning, and innovative product development, we deliver easy-to-use, cutting-edge technology to our primarily senior customer base. Our near real-time phone captioning technology allows individuals with hearing loss to see what callers are saying, enabling them to regain their connection to the world.

ClearCaptions is a Federal Communications Commission (FCC)-certified telephone captioning provider, adhering to the highest industry standards of privacy, security, and professionalism. We recognize the importance of maintaining the trust and confidence of our customers, and we continually strive to exceed their expectations.

For more information about our services please visit clearcaptions.com.

Position Summary: The QA Data Engineer will be responsible to enhance the quality and reliability of data-driven applications by developing and maintaining advanced QA processes. This role requires a deep understanding of databases, data analytics, and automated testing frameworks, aimed at ensuring data integrity and optimizing data flows for mobile and IoT platforms.

This is a Remote position reporting to: Data Engineering QA Manager

What you will do:

Data Validation and Verification:

• Develop automated data validation tools to ensure accuracy and completeness of data from various sources. Ensuring high data quality and integrity across all databases and data flows.
• Implement data verification tests within CI/CD pipelines to ensure continuous data quality.
• Collaborate with data management teams to identify and address data anomalies and inconsistencies.
• Conducts model training and evaluation. Integrates, tests and tunes and monitors solutions.
• Automated testing and validation processes that reduce errors and improve the efficiency of data operations.
• Develops and executes performance tests on AI systems to measure efficiency in handling large amounts of data, complex algorithms and processing seeds to ensure optimal performance.
• Detailed reports on data quality metrics and anomalies tailored for technical teams and business stakeholders.

Data QA Architecture:

• Design and maintain the architecture of QA systems for data processing and analytics.
• Design and develop scalable solutions using AI tools and Machine Learning models.
• Define and standardize data quality benchmarks in collaboration with data team and analysts.
• Document and refine data QA processes and guidelines to ensure adherence to data governance standards.
• Creation of a robust framework for data quality assurance that supports scalable and reliable data operations.
• Implementation of data monitoring systems that proactively detect and resolve data issues.

Research & Development (R&D) in Data Tools and Methods:

• Explore and evaluate new tools, technologies, and practices for potential adoption to improve data QA processes.
• Pilot new approaches in data validation and cleansing to enhance the effectiveness and efficiency of data systems.
• Integration of the latest technologies and methodologies to enhance data quality and processing capabilities.
• Develop custom tools and scripts that automate and optimize data QA tasks.

Qualifications: (list of required education, knowledge, skills, abilities and preferred, if any)

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Technology or related field or equivalent experience/training.
• 4 years of experience as Quality Data Analyst
• Experience as Finance or Operations analyst preferred
• 4 years of experience proficiency in programming languages used in data manipulation (e.g., Python, Scala).
• Strong background in SQL and familiarity with NoSQL databases.
• Experience with data validation tools and methodologies.
• Expertise in designing and implementing QA frameworks for large-scale data environments.
• Knowledge of data warehousing and ETL processes.
• Strong analytical and documentation skills.
• A solid grasp of emerging data technologies and analytical tools.
• Innovative thinking and a proactive approach to problem-solving in data management.
• Excellent verbal and written communication skills, presentation, and problem-solving skills.
• Self-starter with strong organizational and time management skills, self-directed and able to handle multiple priorities with demanding timeframes.
• Ability to work collaboratively with colleagues and staff to create a high-quality results-driven, team-oriented environment.
• Demonstrated ability to use discretion, make sound decisions, and maintain confidentiality.
• Willingness and ability to work flexible hours and travel (up to 5%); will include some overnight

travel.

• Proficient in MS Office, modern communication tools for virtual teams (i.e., MS Teams)

Physical Demands:

Employees may experience the following physical demands for extended periods of time:

• Sitting, standing and walking (95-100%)
• Keyboarding (70-90%)
• Viewing computer monitor, tablet and cell phone requiring close vision (70-90%)

Work Environment:

100% Remote: Work environment is at home.

Compensation:

$99,000 to $127,000/yr prospectively plus 5% bonus with consideration to experience and geographical location.

Intrigued to learn more?
When you apply for this role, your information will be personally reviewed by our talent acquisition team (not by a robot). You can expect to hear back from us with feedback if we think there could be a fit and what next steps look like.

ClearCaptions is an equal opportunity employer committed to inclusion and diversity. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.