• Desarrollar código PySpark para la transformación de datos • Ingesta de datos y orquestación de procesos • Garantizar la calidad del dato • Participar en múltiples proyectos de Analítica Avanzada

About DevSavant DevSavant is an operating partner for startups and growth-stage companies, helping them turn ambition into execution. We support founders and leadership teams with product engineering and global staffing, from early prototypes and MVPs to scaling high-performing teams. Our vetted talent across LATAM and Asia embeds directly into client teams, operating as true extensions rather than external vendors. With over 8 years working in venture-backed ecosystems, DevSavant is trusted to accelerate delivery, scale teams efficiently, and support companies as they reach their next milestone. About the Role We are seeking a Data Engineer to join our growing team of data experts. This is an individual contributor role embedded within cross-functional teams, focused on building and maintaining the data infrastructure that powers our analytics and business intelligence platforms. The role is heavily data-oriented, with a strong emphasis on designing and developing scalable, reliable data pipelines and systems using Python and SQL. You will be responsible for ensuring that business-critical data is accurate, accessible, and optimized for downstream use by software developers, analysts, data scientists, and other stakeholders. The ideal candidate is a hands-on data engineer who thrives in fast-paced environments, takes ownership, and is comfortable working with evolving requirements. You enjoy building robust data systems from the ground up, integrating new datasets, and continuously optimizing data infrastructure for performance and scalability. Key Responsibilities AI & Automation - Contribute to AI-enabled data workflows, including integration with agents and MCP servers - Leverage AI tools (e.g., Copilot, Openspec) to automate aspects of the software development lifecycle - Instrument data systems and pipelines with automation, monitoring, and intelligent workflows Data Engineering & Pipeline Development - Build and maintain scalable data pipelines using Python, SQL, and modern ETL frameworks - Design and implement robust data architectures that support business and analytical needs - Assemble large, complex datasets that meet functional and non-functional requirements - Optimize data systems for performance, reliability, and scalability - Write clean, maintainable, and well-tested code following best practices - Continuously improve data engineering standards and processes Data Infrastructure & Integration - Develop infrastructure for efficient extraction, transformation, and loading (ETL) of data from diverse sources - Integrate structured and unstructured data formats (e.g., CSV, Excel, Shapefiles) into centralized systems - Maintain and optimize databases containing customer usage, financial, and operational data - Integrate and optimize data access across platforms, including analytical tools such as QGIS - Maintain and improve search indices using both COTS and custom-built solutions Analytics Enablement & Stakeholder Support - Collaborate with analysts, data scientists, and business stakeholders to support data needs - Build and maintain data tools that empower analysts to explore and optimize datasets - Assist stakeholders with data-related technical challenges and infrastructure needs - Support analytical workflows, including SQL query development and dataset preparation - Partner with data and analytics teams to enhance overall system capabilities Monitoring, Reliability & Operations - Monitor data systems and pipelines to ensure high availability and reliability - Perform root cause analysis on data and system issues and implement corrective actions - Improve observability and alerting for data infrastructure - Maintain operational excellence across data platforms Collaboration & Execution - Work closely with cross-functional teams in a distributed, remote-first environment - Translate evolving business requirements into scalable data solutions - Take ownership of data systems from design through production - Operate effectively in a fast-paced environment with changing priorities Core Technical Stack Data & Backend - Python for data processing and pipeline development - SQL for querying and data transformation - PostgreSQL (preferred) and other relational databases - ETL orchestration tools such as Airflow or Cloud Composer - Data transformation tools such as DBT Data Platforms & Tools - Geospatial tools and analytical platforms (e.g., QGIS) - Handling of structured and unstructured data formats (CSV, Excel, Shapefiles) - Search and indexing technologies (COTS and custom solutions) Cloud & Infrastructure - Cloud platforms (GCP preferred; BigQuery experience is a strong plus) - Familiarity with data warehouses, data lakes, and distributed data systems - Message queuing and stream processing systems DevOps & Tooling - Linux-based environments and shell scripting - Version control, CI/CD practices, and automated workflows - AI-powered development tools (e.g., GitHub Copilot, Openspec) Required Qualifications - 3–5 years of experience in data engineering, data pipelines, or related fields - Strong proficiency in SQL and experience working with relational databases (PostgreSQL preferred) - Advanced experience using Python for data processing (including spatial and non-spatial data) - Experience building and optimizing data pipelines and architectures - Hands-on experience with ETL orchestration tools (Airflow or Cloud Composer preferred) - Experience with data transformation tools (DBT preferred) - Experience working with unstructured and legacy data formats - Strong analytical skills and experience working with large, complex datasets - Experience performing root cause analysis and improving data processes - Familiarity with distributed systems, message queues, or stream processing - Experience working in Linux environments and using command-line tools - Strong communication skills and ability to collaborate across teams - Proactive mindset with a focus on ownership and continuous improvement Nice to Have - Experience with GCP and BigQuery administration - Experience with geospatial data and tools - Familiarity with AI-enabled data systems and agent-based architectures - Experience automating SDLC processes using AI tools - Experience integrating data platforms with analytics and BI tools - Experience in high-growth or fast-paced environments Qualities We're Looking For - Results-driven mindset (GTD): Ability to identify next actions, communicate clearly, and execute efficiently - Ownership mentality: Strong sense of accountability and decision-making ability - Builder mindset: Passion for creating scalable, impactful data solutions - Curiosity and continuous improvement: Always seeking better ways to solve problems - Team collaboration: Comfortable working across teams and supporting diverse stakeholders - Bonus: You enjoy coffee, love software and products, and bring a good sense of humor

THE COMPANY Constellation HomeBuilder Systems (CHS) is the leading software vendor exclusively focused on the homebuilding industry.  Our comprehensive suite of homebuilding software solutions ranges from production and accounting, new home sales and marketing, home warranty and service and homebuilder website solutions.  It is North America's fastest growing and most successful provider of fully integrated information management solutions for homebuilders.  Our team is composed of experienced and motivated self-starters who enjoy the thrill of working in a fast-paced environment. Our parent company is Constellation Software Inc. (CSI), a well-capitalized, publicly traded Canadian software company that specializes in vertical market software (www.csisoftware.com).  The CSI group of companies is a leading developer of technology solutions for vertical markets globally.  We are a publicly traded company on the Toronto Stock Exchange (TSX symbol is CSU).  We offer the benefit of working with a medium sized company while enjoying the support and opportunity of being part of a large organization.  THE POSITION This position is to select an intern who will be responsible for supporting the Data Services team with planning, coordinating, and executing internal reporting projects. The Intern will work closely with a Product Manager on Data Services to design, build, and test reports and datasets using Power BI, Power BI Report Builder, and SQL. The Intern is expected to deliver updates on project progress and support/modify existing reports and data processes with support and guidance from management. Additional tasks include attending relevant meetings, to be managed in a professional manner. JOB RESPONSIBILITIES - Collaborate with the Director of Data Services to support reporting and analytics initiatives - Design, develop, document, and maintain reports and dashboards in Power BI and Power BI Report Builder. - Work with SQL to build, validate, and optimize datasets to support reporting needs. - Review current reporting and data processes to determine scope of work and identify opportunities for improvement. - Develop repeatable processes that improve the efficiency and consistency of reporting projects. - Manage assigned tasks effectively, with strong organizational and communication skills. - Partner with cross-functional teams to ensure consistency, visibility, and alignment across workstreams. - Provide feedback to the Director of Data Services to improve overall reporting processes, and escalate any critical issues as needed. JOB QUALIFICATIONS - Completion of coursework in Business, Data Analytics, Computer Science, or a related field. - Strong analytical and problem-solving skills with the ability to evaluate data and make decisions quickly and effectively. - Experience with or coursework in Power BI, SQL, or other data visualization/analysis tools preferred. - Excellent oral and written communication skills. - Ability to work effectively in a team environment and collaborate across departments. - Must be able to work remotely in a professional setting - Ability to manage multiple tasks within defined timelines. - Strong organizational, time management, and customer service skills. To apply for this position, submit a resume to Human Resources at: Dan Yates - dan.yates@csiperseus.com Please feel free to browse our website for further information at www.constellationhb.com “An Equal Opportunity Employer” Salary Range (Ontario & BC Only): The estimated base salary range for this role is CAD$18.00 - CAD$22.00 per hour. We include salary ranges in job postings only where required by applicable pay transparency laws, based on the jurisdictions in which the role may be performed. The posted range is a good faith estimate and reflects factors that are subject to change. Final offer amounts may vary based on job-related factors, including work location, candidate experience and expertise, and other relevant considerations. We recognize the value and importance of diversity and inclusion in our communities and in the workplace. We celebrate diversity and one of our goals as an employer is to create an inclusive work environment for all employees. We are an equal opportunity employer and do not discriminate against any employee or applicant because of race, religion, sex, sexual orientation including gender identity or expression, pregnancy, national origin, age, marital status, veteran status, disability status, or any other category or characteristic protected by law. Applicants with disabilities who would like to require a reasonable accommodation related to any part of the application process may contact us at Perseus_HR@constellationhbs.com. #Newstar

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description We are looking for an experienced Senior Data Engineer with expertise in AI‑powered tools, workflow automation, and modern data platform engineering. You will develop data software applications, data platforms, and data products. It partners with application engineers, data engineers, data scientists, and CRM teams to develop scalable solutions. The Engineer will contribute both independently and collaboratively. The Engineer's responsibilities will include defining engineering standards, performing data analysis and modeling, writing high‑quality code, conducting testing and code reviews, preparing deployments, ensuring operational readiness, and supporting Agile development practices. Additionally, the Engineer will keep Security first in mind. You will report to the Development and Operations Manager. - Lead the implementation of AI and LLM‑based tooling to automate data engineering workflows (e.g., code generation, data quality monitoring, schema drift detection). - Build automated frameworks for data ingestion, transformation, orchestration, and deployment using AI‑powered accelerators. - Integrate AI/ML capabilities into pipelines, including anomaly detection, metadata enrichment, and pattern recognition. - Develop automated data validation frameworks and implement AI‑assisted data quality checks. - Take technical ownership of all stages and iterations of assigned software components. - Design technology solutions meet all functional and non‑functional our requirements. - Provide ongoing production support by overseeing critical data pipelines, resolving incidents, ensuring system stability, and driving root‑cause analysis for continuous improvement. - Produce clear documentation of designs, architectural decisions, and code artifacts; participate in knowledge sharing. - Provide regular updates and communications to project partners. - Ensure solution adoption through training, documentation, and readiness planning. - Work across multiple projects and departments, supporting engineering tasks and cross‑functional programs. - Apply industry best practices, engineering standards, and governance principles. - Be a important contributor to deliver high‑value, on‑time, on‑budget complex projects. Qualifications - Bachelor's degree in Computer Science or equivalent experience. - 5+ years in commercial software development environments. - 5 + years of hands‑on experience in data engineering or similar roles. - Demonstrated experience using AI/LLM tools for code generation, testing, monitoring, and automation. - Hands‑on experience with: - PySpark, Python, SQL (expert‑level) - Data engineering pipelines, frameworks, and automation - Knowledge of data platform paradigms and modern software architecture. - Cloud experience with AWS, including services such as API Gateway, Lambda, EC2, ECS, SQS, SNS, DynamoDB, Redshift, and Aurora. - Understand detailed technical specifications and adapt quickly to new technologies Experience making any architectural tradeoffs required to provide software solutions. - Experience building scalable, resilient, and observable distributed systems and problem‑solving skills across a range of complexities. - Experience troubleshooting issues with users. - Familiarity with MLOps, ML orchestration, and model deployment workflows. Additional Information This is a permanent remote home-based role in Costa Rica. No relocation available. Our benefits include: Medical, life and dental insurance, treceavo salario, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-ML2 #LI-Remote This is a remote position. - Employee Status: Regular - Role Type: Hybrid - Department: Technology - Schedule: Full Time