Software Engineer - Data & AI

Responsibilities

Design, develop, test, and implement software applications and technical solutions that address business needs

Help design, build, and implement Document AI capabilities, contributing to pilots and broader rollout

Design and develop data solutions involving warehouses, pipelines, integrations, and data shared across enterprise systems

Work with business stakeholders and end users to understand workflows, pain points, and requirements

Build, support, and improve solutions from development through production, with growing ownership over time

Develop and maintain data transformations, integrations, and pipelines using SQL, dbt, Snowflake, APIs, and related tools and concepts

Build applications and supporting services that bring data, automation, and AI capabilities into practical business workflows

Identify opportunities to apply Document AI and automation to business workflows

Contribute to technical design decisions with scalability, maintainability, security, reliability, and cost in mind

Use prototypes and pilots to validate solutions before broader rollout

Maintain software quality through testing, documentation, code review, source control, deployment practices, monitoring, troubleshooting, and root-cause analysis

Preferred

Experience with Angular, TypeScript, Node.js, or comparable application-development technologies

Experience building AI/ML or LLM-enabled application features

Experience in right-of-way, utilities, infrastructure, real estate, or professional services

Benefits

Medical, dental, and vision coverage.

401(k) with company match, plus disability coverage.

Paid time off, sick time, and paid holidays.

Tuition reimbursement and paid professional development.

ClassPass and Breethe memberships.

Recognition programs and room to grow.

Since 1969, ORC has been a leading ROW service provider for public agencies, utilities, and energy clients, driving responsible infrastructure progress nationwide.

Charlotte, North Carolina, USA

http://orcolan.com

Late Stage

Total Funding

unknown

Key Investors

Carousel Capital

2024-03-07

Private Equity

Leadership Team

Steve Toth

Chief Executive Officer

Richie McNally

Chief Operating Officer

Recent News

LinkedIn

John Mandula on LinkedIn: Carousel Capital Announces Investment in O.R. Colan Associates

2024-04-09

Pulse 2.0

Carousel Capital Reveals Investment In O.R. Colan Associates

PE Hub

Carousel Capital invests in O.R. Colan Associates

Company data provided by

Qualifications

3–5 years of professional software development experience, with strong hands-on coding skills and experience delivering production software

Experience designing, building, and implementing software solutions through production deployment and ongoing improvement

Experience with Document AI, intelligent document processing, OCR, data warehousing, or closely related technologies

Strong SQL skills and experience working with relational data

Experience or familiarity with Snowflake, dbt, data pipelines, data transformation, and data integration

Experience designing or integrating APIs and connecting applications with systems and data sources

Experience contributing to a small or collaborative engineering team and delivering solutions from design through implementation

Experience working directly with business stakeholders or end users to translate needs into effective technical solutions

Ability to navigate ambiguity, ask thoughtful questions, evaluate approaches, and move work forward

Strong written and verbal communication skills, including explaining technical decisions to technical and nontechnical audiences

Proficiency with Microsoft Office applications and electronic databases

An iOS or Android smartphone capable of accessing ORC systems

Authorization to work in the United States without employer sponsorship

Experience with Angular, TypeScript, Node.js, or comparable application-development technologies

Experience building AI/ML or LLM-enabled application features

Experience in right-of-way, utilities, infrastructure, real estate, or professional services

3–5 years of professional software development experience, with strong hands-on coding skills and experience delivering production software.

Required skills

Software Development, Document AI, OCR, SQL, Data Warehousing, Snowflake, dbt, Data Pipelines, API Design and Integration, Angular, TypeScript, Node.js

Experience

3+ years