Data Operations Engineer 2

Hyland; United States; Remote; USD 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Data Operation Engineer 2 to support the development and maintenance of data pipelines. This exciting role involves building and maintaining data workflows, ensuring data quality, and contributing to analytics and machine learning efforts. You will collaborate with cross-functional teams to deliver reliable data products while adhering to data security standards. If you are passionate about data engineering and eager to grow your technical expertise in a dynamic environment, this opportunity is perfect for you.

Qualifications

• Bachelor's degree or equivalent experience in Computer Science or Data Engineering.
• Experience with dbt and cloud-based data orchestration tools.

Responsibilities

• Build and maintain data pipelines for clean structured data analysis.
• Implement solutions aligning with data security standards and compliance.

Skills

Python

SQL

GitHub

Data Analysis

Communication Skills

Problem-Solving

Organizational Skills

Critical Thinking

Collaboration Skills

Attention to Detail

Education

Bachelor's degree in Computer Science

Equivalent experience in Data Engineering

Tools

dbt

Azure Data Factory

Fivetran

Excel

AWS

Azure

Snowflake

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 communication 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 teams as well as with other areas.

• Good Microsoft Excel skills.

• Fluency in English language (reading, written, and spoken).

• Good facilitation and project management skills.

• Good interpersonal skills: able to maintain solid rapport with team members as well as maintain professionalism with those outside of the 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 of 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.