Role Description Join #Ensiteam! 🚀 We are a company focused on custom software development and have been in the market for over 19 years. At Ensitech, we are dedicated to finding highly specialized talent to work with large companies in the United States, Europe, and Canada. Each one of our collaborators works with diverse teams and colleagues around the world in the design and commercialization of software. We look forward to having you as part of our team in the role of Data Engineer (Mid-Level). - Build and maintain ETL/ELT pipelines to ingest, transform, and store data from multiple sources. - Support optimization of data processing workflows for performance and reliability. - Implement batch and real-time data processing using Apache Spark, Kafka, and Databricks. - Support development of data lakes, warehouses, and lakehouses (Azure Databricks). - Work with structured and unstructured data across SQL and NoSQL databases. - Implement data validation, cleansing, and monitoring. - Support data governance and compliance policies (e.g., GDPR, CCPA). - Maintain documentation, metadata, and data lineage. - Deploy and support cloud-based data solutions (Azure, Databricks). - Collaborate with data analysts and software engineers. Qualifications - Bachelor’s Degree in Computer Science, Information Systems, or a related field. - Experience in data architecture or related field (within the overall required experience). - Total experience aligned to mid-level seniority. - Experience with data ingestion pathways including ADF. - Proficiency in Python, SQL, or Scala. - Experience with Azure Data Factory and Databricks. - Experience with big data frameworks (Apache Spark, Hadoop, Databricks). - Knowledge of data modeling and API-based integrations. - Familiarity with Medallion Architecture. Soft Skills - Oral Communication – Speaks clearly and listens effectively. - Organizational Support – Follows processes and supports company goals. - Professionalism – Works respectfully and handles pressure effectively. - Problem-solving and analytical thinking. Benefits - 100% remote opportunity - Competitive compensation package - Career growth with international clients - Opportunities to work with cutting-edge technologies - A team focused on personal development and learning

• Own the design, development, and reliability of production data pipelines using Python, SQL, and modern orchestration tools • Architect and implement ETL/ELT workflows to move data between source systems, data warehouses, and downstream consumers at scale • Lead the development and optimization of data pipelines that feed machine learning models, including feature engineering, training data preparation, and inference pipelines • Design and maintain ingestion and chunking pipelines for RAG systems, including document parsing, embedding generation, and vector store population • Mentor and guide a more junior data engineer: conduct code reviews, pair on complex problems, and foster their technical growth • Organize and prioritize data engineering tasks, ensuring the team delivers reliably against business timelines and technical standards • Collaborate with data scientists, ML engineers, and product teams to productionize models and ensure reliable, performant data delivery • Design and implement monitoring, alerting, and data quality frameworks to proactively catch pipeline failures and data drift • Drive the design and evolution of our data warehouse and data lake architecture, making strategic decisions about tooling, partitioning, and performance • Work with stakeholders across the business to understand data needs and translate them into scalable, well-documented data solutions • Champion engineering best practices: documentation, testing, CI/CD, and knowledge sharing within the team

• Architect, implement, and optimize cloud-based solutions while leveraging industry best practices. • Provide mentorship and guidance to junior engineers and drive continuous improvement and innovation across our CloudOps and DevOps practices. • Collaborate closely with cross-functional teams to design and deploy robust, automated systems that support our organization's mission-critical applications and services. • Monitor and maintain the health of our cloud environment, identifying and resolving issues proactively to minimize downtime and incidents.

• Strong experience with both Adobe Analytics • Experience in AA strategy and implementation expertise • Implementation experience with Adobe Launch • Understanding of web analytics tool basics: tags, cookies, variables. • Strong understanding of tag management systems: tags, rules, and variables • Experience in Vue.JS, JavaScript, jQuery, CSS and HTML skills, and able to be a leader in this area of expertise • Strong attention to detail and QA abilities • A solid understanding of advertising, marketing and strategic brand management and how to best leverage these in a digital environment • Experience presenting in front of groups, to clients, and via web conference • History of working with new business teams on requests for proposal/information and presenting analytics documentation demonstrating agency skillsets. • Experience in creating case studies, point of view documents or white papers in line with your job function in analytics. • Work with internal team to continually streamline processes and find efficiencies in the day-to-day work processes done by the data platforms team. • Experience working on testing, targeting and personalization projects with both targeting and optimization tools and data management platforms (DMP).