Data and Analytics Integration Specialist II

• Design, build, and maintain Common Data Models (CDMs) that support clients across industries such as financial services, healthcare, legal, government, and hospitality.
• Develop and manage data integrations connecting multiple applications, systems, and APIs.
• Build reusable Databricks notebooks, jobs, and Python modules to streamline data processing and improve efficiency.
• Use Python and PySpark to transform raw data into structured, accurate, and reliable information.
• Develop and maintain infrastructure-as-code solutions using Terraform.
• Troubleshoot complex data integration issues and optimize performance, reliability, and cost.
• Implement data quality, validation, and reconciliation processes to ensure accuracy and consistency.

• Work directly with clients to understand their business goals, reporting requirements, and key performance indicators (KPIs).
• Design and develop dashboards, reports, and automated alerts that provide meaningful business insights.
• Transform complex data into easy-to-understand visualizations that help clients make informed decisions.
• Develop reusable reporting templates, data dictionaries, and analytics standards.
• Help clients understand and effectively use their dashboards and reporting tools.
• Ensure reporting solutions are accurate, secure, and aligned with client business objectives.

• Apply security best practices to protect client data and ensure appropriate access controls.
• Follow secure development practices, change management procedures, and established data governance standards.
• Collaborate with JMARK's AI Operations team, engineers, and client-facing teams to deliver effective solutions.
• Provide technical guidance and mentorship to less experienced team members.
• Identify opportunities to improve processes, automation, and overall solution quality.
• Maintain clear documentation and communicate project progress, challenges, and solutions.

We understand that great candidates don't always have experience with every technology. We're looking for someone with a strong technical foundation, demonstrated problem-solving ability, and the desire to continue developing their skills.

• Experience working with Databricks or similar cloud-based data engineering platforms.
• Proficiency with Python and PySpark for data processing, transformation, and integration.
• Experience building integrations using APIs, including authentication and data retrieval.
• Familiarity with Terraform or similar infrastructure-as-code technologies.
• Experience developing dashboards, reports, and data visualizations using business intelligence tools.
• Understanding of data modeling, data pipelines, and data quality best practices.
• Experience working with cloud environments, preferably AWS.
• Knowledge of data security, access controls, and governance practices.
• Ability to troubleshoot technical challenges and develop scalable, reliable solutions.

• Typically 3–4 years of hands-on experience in data engineering, data integration, analytics, or a related field, or demonstrated equivalent technical competence.
• Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field; relevant technical certifications; or equivalent professional experience.
• Experience taking ownership of data integration projects, data models, or analytics solutions.
• Experience working directly with clients or business stakeholders to understand requirements and deliver solutions.
• Previous experience in a managed services environment is a plus.

Technical ability is important, but how you approach your work matters just as much.

The ideal candidate will:

• Be naturally curious. You enjoy understanding how things work, asking questions, and finding better ways to accomplish tasks.
• Take ownership. You're comfortable managing projects and seeing solutions through from beginning to end.
• Think analytically. You can break down complex challenges, identify root causes, and develop practical solutions.
• Communicate effectively. You can explain technical concepts to both technical and nontechnical audiences.
• Have a client-first mindset. You understand that technology is only valuable when it helps people and businesses succeed.
• Enjoy collaboration. You work well with others, share knowledge, and contribute to the success of the team.
• Embrace continuous learning. You're excited about emerging technologies, AI, analytics, and opportunities to expand your expertise.