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Data Engineer

Description

Job Summary

ROR is a rapidly growing, client-driven digital marketing and data company. We are seeking an energetic and experienced Data Engineer to take a key role in our Engineering team. In this position, you will collaborate with other team members, product owners, and operations. You should have a deep understanding and a passion for designing and implementing robust ELT data pipelines. This position will be responsible for building and maintaining best-in-class data systems. Must be authorized to work in the United States with no sponsorship and currently live in Boulder Area, Colorado or already planning to relocate as there is no relocation package.


What you will do

• Develop and maintain data models in dbt (Data Build Tool) within Snowflake, implementing business logic and ensuring alignment with existing architecture and data standards.

• Design, build, and administer scalable data pipelines and a robust data warehouse to support reporting, analytics, and operational use cases.

• Collaborate with stakeholders to understand business needs, translate them into data requirements, and ensure data is modeled to support those needs.

• Perform data analysis to validate assumptions, support decision-making, troubleshoot issues, and identify improvements in data quality and structure.

• Design and implement dimensional models and develop the semantic layer to support BI tools and self-serve analytics.

• Manage and contribute to dbt projects, ensuring code quality, proper documentation, and alignment with modular, scalable design patterns.

• Understand and interpret client data structures, source systems, and business processes to effectively integrate data into the existing architecture.

• Write clean, production-ready code

• Create and maintain comprehensive documentation of data architecture, models, and pipelines.

• Work collaboratively within a team of data engineers


What we are looking for

• Passion for working with data, solving complex data challenges and optimizing data processes

• Professional experience deploying production-quality code

• Deep understanding and hands-on experience with SQL and relational databases

• Strong data modeling skills and familiarity with data warehousing methodologies

• Experience with Git and the command line is required

• Experience using Python and Python libraries

• Knowledge of the ELT pattern and best practices for scalable data pipelines

• Experience conducting code reviews and ensuring best practices in coding standards

• Experience with dbt and Snowflake is a plus

• Experience with AWS and S3 is a plus

• Strong desire to stay up to date with advancements in data engineering practices

• Ability to develop and ship features independently

• Strong desire to work with Data all the time


Education/Training

Required: Bachelor’s degree in computer science, a related STEM field, or equivalent experience


Experience

• 1–3 years of experience as a Data Engineer, SQL/Relational Database Developer, or in a similar data-focused role

Work Environment/Benefits

• Standard work week - 40 hours; however, employees may be required to work additional time necessary to meet deadlines and complete projects.

• Competitive salary, health and dental insurance, life and disability, 401K, supplemental insurance, FSAs, flexible PTO/Holidays and much more!


Physical Requirements

• Sitting for extended periods of time

• Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices and objects

• Ability to sit/stand at a desk and view a computer screen for extended periods of time

• Physically able to participate in training sessions, presentations, and meetings


ROR Partners is an Equal Opportunity Employer. ROR Partners’ policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. ROR Partners also prohibits harassment of applicants and employees based on any of these protected categories.


ROR Partners will provide accommodations to applicants as needed.

Average salary estimate

$80000 / YEARLY (est.)
min
max
$70000K
$90000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Engineer, ROR Partners Inc

Looking for an exciting opportunity to delve into data engineering? At ROR Partners in Boulder, Colorado, we're on the hunt for a passionate Data Engineer ready to take on a pivotal role in our Engineering team. Here, you won't just be an employee; you'll be a key collaborator working alongside talented teammates, product owners, and operations personnel. Your skills in designing and implementing robust ELT data pipelines will be crucial as you build and maintain industry-leading data systems. Imagine developing data models in dbt while leveraging Snowflake, enabling seamless reporting, analytics, and operational use cases. Your knack for translating business needs into data requirements will shine as you design scalable data pipelines and manage existing architecture. We prioritize a clean codebase and thorough documentation, ensuring that our projects remain on point and aligned with best practices. You’ll also have the chance to work independently and creatively on data challenges that spark your curiosity. This isn't just a job; it's an opportunity to grow and lead within a vibrant company culture that values diversity and innovation. If you're ready to jump into a role that lets you play with data while also enjoying benefits like flexible PTO and a competitive salary, then ROR Partners might just be the perfect place for you to advance your career and make a real impact.

Frequently Asked Questions (FAQs) for Data Engineer Role at ROR Partners Inc
What are the main responsibilities of a Data Engineer at ROR Partners?

As a Data Engineer at ROR Partners, your primary responsibilities include developing and maintaining data models in dbt, designing and building scalable data pipelines, and collaborating with stakeholders to align on data requirements. You will also perform data analysis to troubleshoot issues and drive improvements in data quality, while ensuring code quality through best practices and documentation.

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What qualifications do I need to become a Data Engineer at ROR Partners?

To qualify for the Data Engineer position at ROR Partners, you should have a Bachelor's degree in computer science or a related STEM field, along with 1-3 years of experience in a data-focused role. Proficiency in SQL, data modeling, experience with dbt and Snowflake is a plus, and a strong desire to keep up with advancements in data engineering best practices is essential.

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What skills are most important for success as a Data Engineer at ROR Partners?

Key skills for success as a Data Engineer at ROR Partners include strong SQL and relational database expertise, knowledge of data warehousing methodologies, experience in deploying production-quality code, and familiarity with Git and Python. Above all, a passion for solving complex data challenges is vital in this role.

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What is the work environment like for Data Engineers at ROR Partners?

Data Engineers at ROR Partners enjoy a collaborative work environment, often engaging with cross-functional teams to deliver high-quality data solutions. The role requires a commitment to the standard 40-hour work week, although flexibility may be necessary to meet project deadlines. ROR Partners fosters a culture of innovation and inclusivity, making it a great place to grow your career.

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What career growth opportunities exist for Data Engineers at ROR Partners?

At ROR Partners, Data Engineers have numerous opportunities for career growth, including the chance to lead projects, mentor junior engineers, and explore advanced data technologies. The company actively supports continuous learning and professional development, providing an environment where you can build your expertise and advance your career.

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Common Interview Questions for Data Engineer
Can you explain your experience with developing data models in dbt?

When answering this question, highlight specific projects where you've developed data models using dbt. Discuss the challenges faced, such as aligning business logic with existing architecture, and how you approached those challenges.

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What are the best practices you follow when building scalable data pipelines?

Answer by outlining key best practices such as modular design, strong documentation, code reviews, and testing. Provide examples of how you’ve applied these practices in previous roles.

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How do you ensure data quality in your work as a Data Engineer?

Discuss your approach to data validation, troubleshooting, and continuous improvement. Mention tools or frameworks you’ve used that help maintain high data quality standards.

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Describe a challenging data problem you've solved.

Prepare a specific example that highlights your analytical skills and problem-solving abilities. Outline the problem, your approach, and the successful outcome.

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What experience do you have with SQL and relational databases?

Provide details about the databases you've worked with, the complexity of queries you've written, and how you've utilized SQL in your projects to meet business needs.

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Can you explain the ELT pattern and why it's important?

Define the ELT pattern and describe how it differs from ETL. Discuss its benefits, especially in modern data architecture, and provide examples from your experience.

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What tools or technologies do you use for data pipeline management?

Discuss the tools you are familiar with, like dbt, Airflow, or others. Explain your preference and why these tools are effective in managing data pipelines.

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How do you prioritize work when facing multiple deadlines?

Share your strategies for prioritizing tasks, such as assessing project impact, using time management tools, and communicating proactively with your team.

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What role does documentation play in your work as a Data Engineer?

Emphasize the importance of documentation for knowledge transfer, project continuity, and team collaboration. Provide examples of how you ensure comprehensive documentation.

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How do you stay updated with advancements in data engineering technologies?

Talk about resources you utilize, such as online courses, webinars, blogs, or communities that help you stay abreast of industry trends and best practices in data engineering.

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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 3, 2025

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