DATA ENGINEER

Benefits Information

Position is onsite Full-Time in the Boulder/Gunbarrel office.

This job posting is anticipated to remain open until April 30th, 2026

Full-time employees will enjoy a competitive benefits package with options for you and your family including:

• 3 weeks Paid Time Off
• 15 Paid Holidays
• 401(k) Matching
• Health Insurance
• Vision Insurance
• Life Insurance
• Health Savings Account
• Tuition Reimbursement
• Employee Discount
• Reduced Tuition Rates
• Disability Insurance
• Employee Assistance Program
• 401(k)
• Pet Insurance
• Dental Insurance
• Paid Training
• Flexible Spending Account

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Equal Opportunity Employer

BI is one of the leading technology companies in Colorado and the largest provider of innovative electronic monitoring solutions in the United States. We excel at proving technological solutions to over 1,000 agencies nationwide and allowing those agencies to fulfill their missions without worrying about the technical complexities.

Minimum Requirements

• Bachelor’s Degree in Computer Science or related field or equivalent experience.
• At least five (5) years of professional experience in data engineering, database administration, or software development with a "data focus."
• At least three (3) years of experience building and managing large-scale data solutions.
• United States citizenship required.
• Ability to receive client’s approval to work on contract required.
• Must live in the US 3 of the last 5 years (military and study abroad included).
• SQL expertise, including query optimization, indexing, partitioning, and database tuning.
• Working knowledge of data collection and management tools.
• Experience with AWS data services, such as Redshift, S3, Glue, Athena, Step Functions, and Lambda.
• Hands-on experience with ETL/ELT workflow tools.
• Experience working with Tableau (or similar visualization tools) to support data visualization and dashboarding.
• Familiarity with data lake architecture, including AWS Data Lake integration and best practices.
• Experience with data obfuscation tooling, such as Glue Data Brew and Faker
• Understanding of data warehousing principles and dimensional modeling.
• Experience working in Agile environments and familiarity with CI/CD practices in data engineering.
• Effective communication skills with internal and external contacts at all levels, both written and verbal.
• Excellent analytical skills and commitment to continuous improvement of data insights.
• Ability to perform problem analysis and resolution.
• Ability to maintain confidentiality with regard to information stored in operational databases. Ability to work with computers and the necessary software typically used by the department.

Working Conditions:
Encountered on a regular basis as part of the work this job performs.

• Typical office environment.
• Some work in computer-testing lab with cold temperatures, and high noise levels from hardware alarms.
• Ability to reach with hands and arms and to use hands to finger, handle or feel to move computers and testing equipment.
• Ability to climb or balance, stoop, kneel, crawl or crouch, to move computers and testing equipment.

Summary

The Data Engineer is responsible for developing and maintaining data infrastructure components, including data pipelines, databases, data lakes, and data warehouses, to support accurate and timely data access for business intelligence and analytics. This role collects, processes, and transforms raw data into structured, usable formats for reporting and insights. The Data Engineer works with AWS cloud services, SQL, scripts, and big data tools to support large datasets, optimize performance, and automate data workflows to build business intelligence reports.

Primary Duties and Responsibilities

• The Data Engineer designs, develops, and maintains scalable and reliable data pipelines for ingesting, transforming, and storing structured and unstructured data.
• Implements ETL/ELT workflows using AWS services.
• The Data Engineer ensures data integrity, security, and governance…