Data Analytics Engineer at GFiber

Sharvarok; Denver, Northern (CO, KY); Hybrid; USD 106,000 - 155,000; Full time

Job summary

GFiberDenver is seeking a Data Analytics Engineer to build foundational data pipelines and scalable analytics on Google Cloud Platform. You will integrate large ERP and financial datasets, design robust SQL extractions, and deliver reliable tables and reports for leadership decision-making.

You will collaborate with stakeholders, own complex data projects, and ensure quality through disciplined engineering practices. Remote work within the US is available with full-time expectations.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in analytics, data science, and/or computer science engineering.
• 5 years of experience with SQL, writing queries from scratch, data engineering, pipeline management, and ETL.
• Expertise using GCP tools.

Responsibilities

• Create foundational pipelines and data extractions with large data sets using SQL and other GCP technologies.
• Work with large, complex data sets to solve analysis problems and deliver tooling to run the business.
• Collaborate with cross-functional partners to understand business context and provide data solutions for stakeholders.
• Undertake tasks, bugs, and maintenance, and own complex projects with accuracy and timeliness.

Skills

SQL

Education

Bachelor's degree or equivalent practical experience

Tools

BigQuery

Dataform

LookML

Dataplex

Job description

# Data Analytics Engineer at GFiberDenver, COTelecommunicationsThis role is Remote in US!!This role is not eligible for immigration sponsorship or transfers.Please email your resume to Svitlana at [e-mail], ensuring you include where you discovered this job opportunity.Role DescriptionAs a Data Analytics Engineer for GFiber, you will be working with multiple stakeholders across the organization to provide quantitative support, define metric rules and logic, deliver useful tables and reports, model business scenarios, and solve a wide range of business problems. To do so, you will be expected to create new pipelines from scratch, merging broad financial and ERP data sets together into a cohesive technical infrastructure. You will be responsible for engineering foundational table resources using Google Cloud Platform (GCP): BigQuery, Dataform, LookML, Dataplex, etc. The pipelines, metrics, tools, and analyses you develop will be used by our leaders to make strategic decisions and serve as a key input in decision-making.ResponsibilitiesCreate foundational pipelines and data extractions with large data sets using SQL and other GCP technologies demonstrating comfort with software-engineering-level best practices and approaches to data pipelines and management.Work with large, complex data sets to solve difficult analysis problems, assess the impact of initiatives, and create on-going tooling/resources to run the business.Collaborate with cross-functional partners to understand business context for solutions, analysis, and tooling needed to become the single point of contact for all financial data engineering questions.Undertake specific tasks, bugs, and maintenance work. Additionally, own complex projects, proving mastery through accuracy, timeliness, and volume of work, with minimal guidance.Minimum QualificationsBachelor's degree or equivalent practical experience.5 years of experience in analytics, data science, and/or computer science engineering.5 Years of experience with using SQL, writing queries from scratch on a daily basis, data engineering, architecture, pipeline management, and Extract, Transform, Load (ETL).Expertise using GCP tools.Nice to have:Experience in HTML, Python, or other coding languages.Experience using data to identify opportunities for business improvement and defining/measuring the success of those initiatives.Ability to use written and verbal communication to build relationships with cross-functional partners and conduct presentations for stakeholders, including executive leadership.Ability to engage with PMO teams to prioritize, provide level of effort estimations, manage bug queues and bandwidth.The US base salary range for this full-time position is between $105,600 - $154,900 + bonus + cash award + benefits.