Oversee and manage agricultural land preservation programs, engage with stakeholders on land access issues, and promote initiatives to enhance agricultural land conservation and access solutions for Colorado's farming community.

Role Description As a Dialer Administrator, you will provide day-to-day administration and support to analyze, troubleshoot, and develop operational functions of the Contact Center platform that include the Five9 dialer, ACD blending, Omnichannel functions, IVR scripting, and responding to tickets. You will assist with the development of Omnichannel, IVR, and dialer interaction for a high-volume contact center. - Develop a deep and comprehensive understanding of multiple platforms, including predictive, preview, and automatic outbound dialing applications, inbound ACD (automatic call distribution), Omnichannel communication, call list management, and testing for compliance. - Focus on creating efficiency and effectiveness in systems management and performance, blending strategy and customer experience technology. Qualifications - Awareness of omnichannel strategies for outbound contact to include IVR, SMS, Email, and Chatbot. - Experience in Five9, MailChimp, Google, and basic ticketing systems. - 2 years of experience in a contact center environment. - Demonstrated knowledge and understanding of call center KPI metrics. - Knowledge and understanding of call center compliance and controls TCPA, state and federal regulatory guidelines, and Ancora’s Media Compliance Handbook. - Excellent time management and organizational skills. - Strategic and independent thinker. - Strong problem-solving and analytical skills with attention to detail. - Proficiency with Google suite. - A solid work ethic, high integrity, positive attitude, and strong attention to detail. Requirements - Experience in customer service preferred, 1 year of previous experience in a dialer administration/analyst/development role. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - Occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch or crawl; talk or hear; taste or smell. - Must occasionally lift and/or move up to 25 pounds. - Specific vision abilities required include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. - Prolonged periods sitting at a desk and working on a computer. Work Environment Work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - Usually not exposed to weather conditions. - The noise level in the work environment is usually moderate.

🟢 At Dev.Pro, we work on projects that impact millions of people around the world — but we know it’s the people behind the tech who make it all happen. We truly value what makes each person unique and are building a workplace that’s inclusive, friendly, and supportive. About this opportunity We invite a Databricks Platform Administrator to join our Data Platform team. In this high-impact role, you’ll own the day-to-day administration, optimization, and evolution of our Databricks environment. You’ll ensure our data scientists and engineers have a reliable, well-governed, and high-performing platform for analytics, ML experimentation, and production workloads. What's in it for you - Drive the growth and integration of our Databricks platform across the broader data ecosystem - Get hands-on experience across the modern data/ML stack (Databricks, Spark, Delta Live Tables, MLflow, AI/LLM tools, Unity Catalog) - Partner with top data scientists and ML experts to solve complex data challenges and deliver a real impact across the organization 🧩 Key responsibilities and your contribution In this role, you'll own and optimize our Databricks platform, ensuring reliable, secure, and efficient operations for our data and ML teams. - Own the health, security, and governance of the Databricks environment - Manage, scale, and optimize computing clusters for data science and ML workloads - Configure workspaces, access controls, and network settings - Ensure high availability and reliability of analytics workloads - Monitor platform performance; build dashboards/alerts for cluster efficiency and job success - Enable and improve data ingestion, transformation, and model execution workflows - Build self-service tools to provision notebooks, clusters, and environments; drive automation to reduce toil - Manage Unity Catalog rollout/adoption for data discovery, lineage, and access governance - Review workspace configurations, cluster policies, and user permissions to maintain security - Support audit and compliance for data governance across Databricks - Partner with data and ML teams to optimize platform experience and unblock workflows - Coordinate with Cloud DevOps on AWS infrastructure, networking, and IAM dependencies ✅ Is that you? - 5+ years in Databricks administration or engineering, or in a closely related data platform role - Strong Databricks workspace administration skills, including cluster policies, permissions, Unity Catalog, Jobs/Workflows, and networking - Familiarity with AWS services supporting Databricks deployments (S3, IAM, VPC, EC2) - Experience with data pipelines and orchestration tools (dbt, Airflow, Fivetran, Delta Live Tables) - Proficiency in Python and SQL; familiarity with Spark - Understanding of modern data governance and access control patterns (RBAC, data classification) - Bachelor’s degree in a STEM field - Upper-Intermediate English level ✅ Nice to have - Experience in financial services or regulated industries - Experience with Snowflake and AWS engineering - Hands-on experience with MLflow, model serving, or feature store in Databricks - Familiarity with IaC tools (Terraform) for managing Databricks resources - Experience with AI/LLMOps tools (observability, evaluation pipelines, agentic workflows) - Experience optimizing Databricks costs (cluster policies, spot instances, Photon, serverless SQL) - Knowledge of distributed computing frameworks (Spark, Ray, Dask) 🎾 What's working at Dev.Pro like? ✔️ 30 paid days off each year — use them for vacation, holidays, or personal time ✔️ 5 paid sick days, up to 60 days of medical leave, and 6 paid days off for family events like weddings, funerals, or having a baby ✔️ Partially covered health insurance - after probation ✔️ Wellness bonus for gym memberships, sports nutrition, and similar needs Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ Offer Interested? Find out more: 📋How we work 💻 LinkedIn Page 📈 Our website 💻IG Page

🟢 At Dev.Pro, we work on projects that impact millions of people around the world — but we know it’s the people behind the tech who make it all happen. We truly value what makes each person unique and are building a workplace that’s inclusive, friendly, and supportive. About this opportunity We invite a Databricks Platform Administrator to join our Data Platform team. In this high-impact role, you’ll own the day-to-day administration, optimization, and evolution of our Databricks environment. You’ll ensure our data scientists and engineers have a reliable, well-governed, and high-performing platform for analytics, ML experimentation, and production workloads. What's in it for you - Drive the growth and integration of our Databricks platform across the broader data ecosystem - Get hands-on experience across the modern data/ML stack (Databricks, Spark, Delta Live Tables, MLflow, AI/LLM tools, Unity Catalog) - Partner with top data scientists and ML experts to solve complex data challenges and deliver a real impact across the organization 🧩 Key responsibilities and your contribution In this role, you'll own and optimize our Databricks platform, ensuring reliable, secure, and efficient operations for our data and ML teams. - Own the health, security, and governance of the Databricks environment - Manage, scale, and optimize computing clusters for data science and ML workloads - Configure workspaces, access controls, and network settings - Ensure high availability and reliability of analytics workloads - Monitor platform performance; build dashboards/alerts for cluster efficiency and job success - Enable and improve data ingestion, transformation, and model execution workflows - Build self-service tools to provision notebooks, clusters, and environments; drive automation to reduce toil - Manage Unity Catalog rollout/adoption for data discovery, lineage, and access governance - Review workspace configurations, cluster policies, and user permissions to maintain security - Support audit and compliance for data governance across Databricks - Partner with data and ML teams to optimize platform experience and unblock workflows - Coordinate with Cloud DevOps on AWS infrastructure, networking, and IAM dependencies ✅ Is that you? - 5+ years in Databricks administration or engineering, or in a closely related data platform role - Strong Databricks workspace administration skills, including cluster policies, permissions, Unity Catalog, Jobs/Workflows, and networking - Familiarity with AWS services supporting Databricks deployments (S3, IAM, VPC, EC2) - Experience with data pipelines and orchestration tools (dbt, Airflow, Fivetran, Delta Live Tables) - Proficiency in Python and SQL; familiarity with Spark - Understanding of modern data governance and access control patterns (RBAC, data classification) - Bachelor’s degree in a STEM field - Upper-Intermediate English level ✅ Nice to have - Experience in financial services or regulated industries - Experience with Snowflake and AWS engineering - Hands-on experience with MLflow, model serving, or feature store in Databricks - Familiarity with IaC tools (Terraform) for managing Databricks resources - Experience with AI/LLMOps tools (observability, evaluation pipelines, agentic workflows) - Experience optimizing Databricks costs (cluster policies, spot instances, Photon, serverless SQL) - Knowledge of distributed computing frameworks (Spark, Ray, Dask) 🎾 What's working at Dev.Pro like? ✔️ 30 paid days off each year — use them for vacation, holidays, or personal time ✔️ 5 paid sick days, up to 60 days of medical leave, and 6 paid days off for family events like weddings, funerals, or having a baby ✔️ Partially covered health insurance - after probation ✔️ Wellness bonus for gym memberships, sports nutrition, and similar needs Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ Offer Interested? Find out more: 📋How we work 💻 LinkedIn Page 📈 Our website 💻IG Page