ProSearch

About the Company

We've all heard the phrase "it's not what you know, it's who you know" dozens of times. But when it comes to finding your next career opportunity, a temporary or temp to hire gig, or an IT contract assignment in Northern New England or Maine- it really couldn't be truer. Whether you are just starting your career, new to the area, trying to re-enter the job market after taking some time away, or simply looking for that next career opportunity, we are known as the recruiting and staffing firm to get you to work. Our relationships with hiring managers and human resources professionals provide access to job opportunities that simply don't exist anywhere else. Established in Portland, Maine in 1994, our insights and contacts with employers are some of the reasons job seekers trust us to help them navigate the job market. The ProSearch team of Employee Owners is proud of our reputation for how we treat our temporary and contract employees, and the job seekers who have placed their trust in us to locate the best next career opportunity for them. At ProSearch, our job is to connect great people with great opportunities, and vice versa. From multinational employers to the quirkiest start-ups, we have our hands in all kinds of projects - even a few you won't have heard of until connecting with us! And thanks to our deep connections in the employer community, we also have access to opportunities that aren't publicly posted to any job board.

Listed Jobs

Company Name

ProSearch

Job Title

Deputy Chief Information Security Officer

Job Description

Job title: Deputy Chief Information Security Officer Role Summary: Senior cybersecurity executive responsible for leading Security Operations, Vulnerability Management, and Customer Identity & Access Management (CIAM) initiatives. Works alongside the CISO to shape enterprise-wide risk posture, align security strategy with business objectives, and lead cross‑functional change management. Expectations: - Deliver measurable improvements in threat detection, incident response, and vulnerability remediation. - Translate complex security risks into executive‑level insights and board‑presentable narratives. - Cultivate a security‑first culture across product development, digital transformation, and operations. - Maintain compliance with NIST, ISO 27001, CIS Controls, and other regulatory frameworks. Key Responsibilities: 1. **Security Operations Leadership** • Oversee real‑time detection, monitoring, and automated incident response. • Implement advanced threat detection technologies to enhance operational resilience. 2. **Vulnerability Management** • Design and scale a closed‑loop vulnerability program: asset discovery → risk prioritization → remediation → reporting. • Integrate vulnerability workflows with IT and engineering to drive accountability. 3. **CIAM Architecture** • Build secure, scalable CIAM solutions for customer platforms. • Enforce risk‑based access controls while ensuring seamless user experience and regulatory compliance. 4. **Strategic Leadership** • Partner with CISO to execute long‑term security strategy aligned with business goals. • Influence product development, digital transformation, and enterprise operations to embed security. • Represent security interests in executive and board discussions. 5. **Change Management & Culture** • Lead enterprise‑wide initiatives to embed security practices and risk awareness. • Promote continuous improvement and innovation in security operations. Required Skills: - Executive‑level communication and stakeholder influence (technical and non‑technical). - Proven leadership of Security Operations Center (SOC), Incident Response, Vulnerability Management, and CIAM programs. - Deep knowledge of NIST, CIS, ISO 27001, and related frameworks. - Experience with automated threat detection & response platforms. - Ability to translate technical risk into business context. - Strong project management and cross‑functional collaboration. Required Education & Certifications: - Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field. - Master’s degree preferred. - Industry‑recognized certifications: CISSP, CISM, or GIAC strongly preferred. ---

Portland, United states

On site

Senior

04-11-2025

Company Name

ProSearch

Job Title

AI Data Engineer

Job Description

**Job Title:** AI Data Engineer **Role Summary:** Design, develop, and maintain scalable, reliable data pipelines that feed AI/ML models with high‑quality, well‑structured datasets across discovery, imaging, clinical, and operational streams. Collaborate with data scientists, ML engineers, and product owners to deliver data assets that improve model performance and accelerate R&D. **Expectations:** - Remote work; full‑time. - Minimum 4 years’ experience as a data engineer. - Strong technical foundation, proactive problem‑solver, collaborative communicator. **Key Responsibilities:** - Build and optimize distributed data pipelines using Databricks, Spark, Delta Lake, Snowflake, and AWS (S3, Glue, EMR). - Develop feature tables, analytical datasets, and automated workflows for machine‑learning ops and analytics workloads. - Implement data transformations with dbt Core, ensuring documentation, testing, and semantic consistency. - Enforce code quality with SQLFluff, YAML linters, and CI/CD (GitHub Actions). - Resolve data quality issues (missing, duplicate, inconsistent data). - Design and contribute to architecture patterns (data warehouse, lake, lakehouse, mesh). - Build Python‑based pipelines to ingest structured tables, text, images, and other data types. - Configure CI/CD and IaC (Terraform, CloudFormation) for pipeline deployment. - Monitor, troubleshoot, and optimize data pipelines across the full lifecycle (exploration, production, recovery). - Stay current on emerging data engineering and AI/ML practices, including Generative AI. **Required Skills:** - Advanced SQL (analytical and ETL). - Python; R (beneficial). - dbt Core – transformations, tests, documentation. - Databricks, Spark, Delta Lake. - Snowflake, AWS (S3, Glue, EMR). - Git, Git-based workflows, GitHub Actions. - Terraform or AWS CloudFormation. - Docker, Kubernetes, AWS ECS (containerization). - Big‑data processing, data modeling, schema design. - Data quality engineering (validation, profiling). - Familiarity with NoSQL databases, object storage. **Required Education & Certifications:** - Bachelor’s degree (or equivalent) in Computer Science, Data Engineering, Statistics, or related field. - Professional certifications in data engineering, cloud platforms (AWS, Azure, GCP) or data arts (e.g., SnowPro, Databricks Delta Lake) are a plus. ---

United states

Remote

Junior

17-11-2025