Senior Data Engineer

Level Access is the leading digital accessibility solutions company, helping organizations build products that work for everyone. We are consolidating our business systems into a single, unified data platform to power analytics and AI initiatives. As a Senior Data Engineer , you will play a critical role in designing, building, and operating the data infrastructure that underpins this transformation. This position focuses on creating a robust, governed, and scalable data foundation that integrates data from multiple systems into an AI‑ready platform. Responsibilities Design, build, and maintain a scalable data platform on Databricks and AWS, following Medallion (Bronze/Silver/Gold) architecture principles. Develop and manage data ingestion and ETL/ELT pipelines from core business systems, ensuring data quality, reliability, and performance. Implement data quality monitoring (freshness, completeness, validity, anomaly detection) with automated alerting. Establish and maintain Golden Record identity resolution and reverse sync across source systems. Govern metadata, lineage, and permissions using Databricks Unity Catalog and platform standards. Collaborate with cross-functional teams to deliver analytics- and AI-ready datasets that support business objectives. Apply best practices for infrastructure as code, CI/CD, and version control for data pipelines. Communicate effectively with stakeholders, manage ambiguity, and drive results in a fast‑paced environment. Qualifications 8+ years of experience in data engineering, building production‑grade ETL/ELT pipelines at scale. Strong proficiency in Python (PySpark, scripting, API integrations, pipeline automation). Hands‑on experience with Databricks (notebooks, jobs, workflows, Unity Catalog) and AWS (Lambda, ECS/Fargate, S3, Glue, Athena, DynamoDB, EventBridge, Step Functions, IAM). Expertise in data modeling and lakehouse architectures (Medallion, Delta Lake, Parquet, schema evolution, incremental upserts). Proficiency in SQL and dbt for building modular, tested, and documented models. Experience with REST API integration, entity resolution, and record matching strategies. Familiarity with Git‑based version control and CI/CD for data pipelines. Preferred Advanced Databricks features (Delta Live Tables, MLflow integration). Salesforce API experience (Bulk API 2.0, REST API, SOQL). Benefits Full‑time, salaried position with a competitive benefits package, including bonus opportunities, generous paid time off, paid holidays, and programs designed to support employee well‑being and work‑life balance. Level Access is committed to workforce diversity and is an Equal Opportunity Employer. We are dedicated to providing reasonable accommodations throughout the hiring process. Level Access uses artificial intelligence (AI) tools to support and enhance our recruitment and hiring processes. These tools may assist with activities such as résumé screening, skills assessments, interview scheduling, and communication. These tools are designed to assist our recruiters and do not make final hiring decisions. All AI-assisted processes are subject to human review and candidate information is handled in accordance with our Privacy Policy and applicable regulations. To learn more about how we collect and use personal data, please review our Privacy Statement ( and our Trust Center ( #J-18808-Ljbffr