Senior Data Engineer

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 Required:
• 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).
• Application Process

Benefits

Additional Information

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.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at levelaccess? Share your experience