Data Operations Engineer 2 (English speaking)

Hyland; United States; Remote; USD 70,000 - 110,000; Full time

Job summary

A leading company is seeking a Data Operation Engineer 2 to enhance its data pipeline capabilities. The role focuses on data management, contributing to machine learning workflows, and supporting analytics efforts. Ideal candidates will possess a solid foundation in data engineering, proficiency in relevant tools, and strong analytical skills, ensuring data quality and usability within operational frameworks.

Benefits

Career development resources

Wellbeing programs

Innovative practices

Qualifications

• Experience with dbt and data orchestration tools required.
• Good organizational and multitasking skills.
• Fluency in English (reading, written, spoken) is essential.

Responsibilities

• Build and maintain data pipelines for clean structured data.
• Deliver components of analytical and operational data products.
• Ensure proper data access quality for reporting and analytics.

Skills

Data analysis

Python

SQL

GitHub development workflows

Cloud platforms

Communication

Problem-solving

Collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Excel

Azure Data Factory

Fivetran

Statistical software packages

Job description

Overview

The Data Operation Engineer 2 is focused on supporting the development and maintenance of data pipelines. This role assists in delivering clean, reliable data and contributes to testing, documentation, and monitoring efforts. This role works under guidance to support analytics and machine learning workflows while growing technical expertise.

What you will be doing

• Build and maintain data pipelines that prepare clean structured data for analysis.

• Deliver components of analytical and operational data products contributing to solutions from ingestion through production deployment.

• Apply established practices for data observability quality checks metadata tracking and lineage documentation within workflows.

• Work with other teams to help ensure proper data access quality and usability for reporting and analytics.

• Develop data workflows that enable downstream ML/AI capabilities ensuring datasets are well-prepared and versioned.

• Observe and provide input on new tools and techniques evaluated by senior team members.

• Implement solutions that align with internal data security standards compliance policies and governance frameworks.

• Engage in team conversations about data engineering trends tools and process improvements.

• Contribute to team knowledge base through documenting work learnings and lessons from projects.

• Actively seek feedback from senior engineers and contribute to team success through collaboration and support.

• Comply with all corporate and departmental privacy and data security policies and practices, including but not limited to, Hyland’s Information Systems Security Policy

What will make you successful

• Bachelor's degree or equivalent experience in Computer Science, Data Engineering, or related field.
• Experience with dbt and cloud-based data orchestration tools (e.g., Azure Data Factory, Fivetran).
• Experience in data analysis tools like Excel SQL or statistical software packages
• Microsoft Windows and Office proficient
• Good oral and written communications skills that demonstrate a professional demeanor and the ability to interact with others with discretion and tact
• Good organizational multi-tasking and time management skills
• Good collaboration skills applied successfully within team as well as with other areas
• Good Microsoft Excel skills
• Fluency in English language (reading, written and spoken)
• Good facilitation and project management skill
• Good interpersonal skills: able to maintain solid rapport with team members as well as maintain professionalism with those outside of department
• Good data gathering interviewing and analytical/problem solving skills
• Good critical thinking and problem-solving skills
• Good in Python, SQL, and GitHub-based development workflows.
• Good skills in cloud platforms (e.g., Fabric, AWS, Azure, Snowflake)
• Ability to use original thinking to translate goals into the implementation new ideas and design solutions
• Self-motivated with the ability to manage projects to completion with oversight
• Able to thrive in a fast paced deadline driven environment
• Good attention to detail
• Demonstrated ability to influence motivate and mobilize team members and business partners
• Good ability to develop and use engaging informative and compelling presentation methodologies
• Good ability to handle sensitive information with discretion and tact
• Good ability to establish rapport and gain the trust of others; effective at gaining consensus
• Ability to work independently and in a team environment
• Good knowledge of systems administration
• Good data analysis knowledge using tools; Excel SQL or statistical software packages
• Good knowledge of Microsoft Operating systems and products
• Up to 0% travel time required

Welcome to #HylandLife

Since 1991, it has been Hyland’s mission to help our employees, customers and partners exceed their potential with our industry-leading content services platform. Our employees exude a contagious energy and are passionate about what they do – whether it’s helping customers succeed, raising up their fellow Hylanders, or engaging in the communities where they live and work.

The #HylandLife hashtag encompasses our employee-centric culture. Our employees live our culture day in and day out by bringing their best self to work. Hyland supports them to do just that through career development resources, wellbeing programs and innovation practices. We thrive on diverse viewpoints and new ideas and believe that a positive, inclusive workplace is imperative to sustainable success.

As we’ve grown to a company of nearly 4,000 strong, we have the opportunity to make a significant impact on our communities. We strongly support employee initiatives and align our giving campaigns and programs to organizations that are important to them.

We are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, marital status, gender identity, or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. The information collected by this application is solely to determine suitability for employment, verify identity and maintain employment statistics on applicants.