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Senior BI Engineer
Constructconnect
Lead development and strategy for the next generation of embedded analytics platform using BigQuery, dbt, and Looker.
22d ago
$160,000
Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Atlanta, GA
Office Full-Time
Company Size
500 Employees
Service Specialisms
Construction Services
Project Management
Consulting
Engineering
Architecture
Property Development
Design
Technical Services
Sector Specialisms
Industrial
Energy
Infrastructure
Buildings
Residential
Commercial
Heavy Civil
Marine
Role
What you would be doing
looker explores
bigquery optimization
ci/cd workflows
data modeling frameworks
dbt pipelines
analytics innovation
- Drive cross-functional collaboration with product managers, designers, and senior engineers to deliver complex features that directly impact customer workflows and business outcomes
- Design and implement sophisticated Looker explores and executive-level dashboards, ensuring robust data modeling and intuitive self-service experiences for diverse user personas
- Own optimization initiatives for BigQuery workloads, including advanced query performance tuning, storage architecture design, and strategic cost management
- Team members are expected to maintain a dedicated and ergonomically appropriate remote workspace.
- Lead enterprise-wide initiatives to scale self-service analytics capabilities, enabling teams across the organization to confidently access and leverage data for strategic decision-making
- Define and champion best practices for testing, documentation, observability, and CI/CD workflows in analytics engineering, setting the standard for the broader team
- Provide technical leadership and mentorship to junior and mid-level team members through code reviews, architectural design discussions, and knowledge transfer initiatives
- Serve as a strategic technical advisor to senior business leaders, influencing data strategy decisions and aligning complex solutions to organizational priorities and long-term vision
- Establish and evolve comprehensive data modeling frameworks, governance standards, and architectural patterns that ensure consistency, performance, and reliability across the analytics ecosystem
- Lead architectural design and maintain enterprise-scale dbt models and pipelines in BigQuery to support critical business functions across multiple product lines
- Drive innovation in analytics engineering practices, evaluating and implementing emerging technologies and methodologies to maintain competitive advantage
What you bring
git
mlops
data governance
bigquery
dbt
sql
- Extensive experience applying software engineering best practices (Git, CI/CD, automated testing, code review processes) to data pipelines and BI development
- Knowledge of machine learning workflows and MLOps practices
- Experience with data governance, security, and compliance frameworks
- All team members must reside and perform their work within the United States
- Deep understanding of advanced data warehousing principles, ELT/ETL workflows, distributed systems, and query performance optimization at scale
- Exceptional communication abilities with a proven track record of presenting complex technical concepts to executive stakeholders and translating business requirements into technical solutions
- Bachelor's degree in Computer Science, Data Engineering, Mathematics, Statistics, or related technical field; Master's degree preferred
- Background in SaaS or technology product companies
- The physical activities of this position include frequent sitting, telephone communication, and working on a computer for extended periods. Visual acuity is required to perform activities close to the eyes.
- Demonstrated leadership skills with experience mentoring technical teams and driving cross-functional initiatives
- Certifications in relevant technologies (Google Cloud, dbt, Looker)
- Proven expertise in architecting and implementing scalable, enterprise-grade data solutions that balance flexibility, reliability, performance, and cost efficiency
- Expert-level proficiency in SQL including advanced performance tuning, complex transformations, and sophisticated data modeling techniques
- Production mastery of BigQuery, dbt, and Looker in enterprise-scale environments with proven track record of managing complex implementations
- 3+ years in senior or lead roles with responsibility for technical decision-making and team mentorship
- Experience with cloud data platforms (GCP preferred, AWS, Azure)
- 8+ years of progressive experience in analytics engineering, BI engineering, or data engineering roles with demonstrated career advancement
- Team members who live within commuting distance of one of our office locations (Greater Cincinnati/Northern Kentucky or Atlanta, Georgia) are expected to work in a hybrid capacity, with regular in-office presence on Tuesdays and Wednesdays.
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Interview process
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Visa SponsorshipInformation not given or found
Security clearance- criminal background check
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Company
Overview
- Founded with the mission to simplify and accelerate the construction process.
- They offer a suite of tools that streamlines project bidding, forecasting, and networking for contractors, engineers, architects, and suppliers.
- Their platform helps users access construction project leads, detailed plans, and specs, facilitating quicker and more efficient project execution.
- plays a key role in sectors such as residential, commercial, industrial, and infrastructure, serving a diverse client base across the globe.
- their software tools are particularly renowned for helping users find new business opportunities, manage project data, and streamline the construction lifecycle.
- a standout feature is their collaboration with other tech giants to integrate construction data with cutting-edge technologies like AI and machine learning.
- continuously expands its portfolio with acquisitions, strengthening its position as a key player in the construction tech space.
- Customer Success: We help our customers succeed through innovative technology and exceptional service.
- Integrity: We act with honesty and integrity, always delivering on our promises.
- Collaboration: We believe in the power of teamwork, collaboration, and working together to achieve success.
- Innovation: We embrace change and continuously innovate to create value for our customers and partners.
- Excellence: We strive for excellence in everything we do, delivering high-quality solutions and services.
2030 Target
Net Zero Emissions
Aimed to achieve net-zero emissions by 2030.
- Sustainable Operations: Incorporates sustainability in daily operations, including energy efficiency and waste reduction.
- Carbon Emissions Reduction: Focuses on reducing emissions through better energy management and green technology adoption.
- Green Office Practices: Minimizes environmental footprint through green office practices and remote work solutions.
30% women
Leadership Positions
Women make up a significant proportion of leadership roles within the company's workforce.
- The company prioritizes the development of diverse leaders and provides leadership training to underrepresented groups.
- ConstructConnect fosters an inclusive culture with employee resource groups that support various demographics within the organization.
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