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Telecommute Data Librarian Jobs (NOW HIRING)

TriOptus LLC

Data Engineer | TELECOMMUTE

Minneapolis, MN · On-site +1

$119K - $143K/yr

100% telecommute Hours: Regular day working hours with some flexibility, but must be available for ... Design reusable components, frameworks, and libraries * Contribute and make recommendations to the ...

Finance of America Companies

Python Developer II

Plano, TX · On-site +1

$47 - $64.75/hr

Telecommuting permitted. Qualifications: Bachelor's degree in Computer Science or a closely related ... Data libraries including Pandas, NumPy and scikit-learn; AWS Cloud Compute including ECS and Lambda;

Finance of America Holdings LLC

Python Developer II

Plano, TX · On-site +1

$47 - $64.75/hr

Telecommuting permitted. Qualifications: Bachelor's degree in Computer Science or a closely related ... Data libraries including Pandas, NumPy and scikit-learn; AWS Cloud Compute including ECS and Lambda;

Finance of America Companies

Python Developer II

Plano, TX · On-site +1

$47 - $64.75/hr

Telecommuting permitted. Qualifications: Bachelor's degree in Computer Science or a closely related ... Data libraries including Pandas, NumPy and scikit-learn; AWS Cloud Compute including ECS and Lambda;

GDIT

Data Engineer - TS/SCI with Polygraph

Chantilly, VA

$221K - $299K/yr

Maintain modular software libraries with clean interfaces and reusable code. Data Engineering ... None Telecommuting Options: Onsite Work Location: USA VA Chantilly Additional Work Locations: Total ...

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How much do telecommute data librarian jobs pay per year?

As of Jul 22, 2026, the average yearly pay for telecommute data librarian in the United States is $74,164.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $94,500.00 per year, depending on experience, location, and employer.
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Telecommute Data Librarian jobs near you
Infographic showing various Telecommute Data Librarian job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $74,164 per year, or $35.7 per hour.
Data Engineer | TELECOMMUTE

Data Engineer | TELECOMMUTE

TriOptus LLC

Minneapolis, MN • On-site, Remote

$119K - $143K/yr

Contractor

Posted yesterday

Job description

100% telecommute
Hours: Regular day working hours with some flexibility, but must be available for most of Central Time working hours with a heavier focus on availability in the mornings.
Project:
  • Working with customers to design data extracts based on their reporting needs
  • Collaborating with IT Dev Ops partners to ingest extracts into a data warehouse
  • Creating scalable data pipelines for reporting teams from the data warehouse to our BI tool

Team:
  • We are a team of 9 Data Engineers and Analysts + Engineering Managers/Leaders
  • We have 1 product owner on the team and work with several others directly
  • We have a Scrum Master aligned as well

Responsibilities:
  • Architect all phases of software engineering including requirements analysis, application design, code development and testing with a focus on business intelligence dataset development
  • Design reusable components, frameworks, and libraries
  • Contribute and make recommendations to the design and architecture to enable secure, scalable, and maintainable solutions
  • Clearly articulate the implications of design/architectural decisions, issues and plans to technology leadership
  • Work collaboratively with People Analytics on the development and production of standard datasets to drive actionable decision making and reporting stability
  • Conduct design and code reviews to ensure code developed meets business needs, coding best practices guidelines, unit testing, security, and scalability and maintainability guidelines
  • Work very closely with architecture groups and drive solutions
  • Assist with updating infrastructure components
  • Use engineering best practices following an Agile methodology to deliver high-quality emerging tech solutions
  • Communicate with impact - influence and negotiate effectively with all internal and external stakeholders to achieve win-win solutions that advance organizational goals
  • Grow and maintain knowledge of and leverage emerging technologies
  • Develop and analyze highly complex system standards, thresholds, and recommendations to maximize system performance
  • Analyze project requirements and develop detailed specifications for new data warehouse reporting requirements
  • Research API calls and make necessary changes to meet the business, contractual, security, performance needs
  • Assesses and interprets customer requests for feasibility, priority, and complexity
  • Create and maintain internal process documentation
  • Support projects and change initiatives aligned to key priorities of People Analytics and People Analytics customers
  • Understands priorities and organizes prescribed and non-prescribed work to meet or exceed deadlines and expectations
  • Proactively keeps data secure and decommissions legacy content in our environment
  • Serve as a resource to others within the People Analytics community; mentors other data engineers; provides explanations and information to others on difficult issues, problems, and solutions
  • Works with minimal guidance; seeks guidance on only the most complex tasks
  • Coaches, provides feedback, and guides others within the People Analytics community

Required Qualifications:
  • 3+ years of data engineering experience
  • 3+ years of full lifecycle application, software development experience
  • 3+ years of modern programming language such as Python, Java, and Scala
  • 2+ years of SDLC experience in an Agile environment
  • Working knowledge of the following business and technology concepts: APIs, CI/CD, Big Data, data architecture and governance
  • Experience with Cloud technologies and platforms such as Docker, OSE, Kubernetes, AWS, Snowflake, and Azure
  • Experience with Jenkins, GitHub, Big Data technologies like Spark
  • Experience using IDEs such as Eclipse, JBoss, IntelliJ
  • Relational database experience
  • Experience ingesting and working with large and complex datasets
  • Experience gathering requirements from end users

Preferred Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or Technology
  • Experience with People Data
  • Experience with disaster and recovery models
  • DevOps experience
  • Experience creating user stories in an agile tool using gherkin format methodology

Required Skills : Data Analysis
Basic Qualification :
Additional Skills : Data Engineer
This is a high PRIORITY requisition. This is a PROACTIVE requisition
Background Check : No
Drug Screen : No

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