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 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).
Compensation and Benefits
This is a full‑time position. The compensation package offered will be determined by factors such as demonstrated experience, skills, and internal equity. In addition to base pay, this position is eligible for incentive compensation in the form of a KPI incentive plan.
Level Access is committed to supporting our global team with comprehensive and inclusive benefits. For employees in the United States and Canada, our offerings include medical, dental, and vision insurance, life and disability coverage (STD/LTD), and a retirement match. We also prioritize well-being and growth through flexible paid time off, paid parental leave, a remote work stipend, and professional development reimbursement. For employees in other locations, benefits are tailored to local regulations and employment status to ensure competitive support worldwide.
Application Process
If you thrive in a fast‑paced environment and you are eager to make a significant impact in the field of accessibility, we would love to hear from you! Interested in immediate consideration? Please submit your resume to be considered for this role.
The anticipated application window is 40 days from the date job is posted. However, factors such as candidate flow and business necessity may require us to shorten or extend the application window. This position is a current open vacancy. Candidates who are selected for an interview will be notified of the hiring decision within 45 days following their final interview.
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 (https://www.levelaccess.com/privacy-statement) and our Trust Center (https://trust.levelaccess.com).
Apply for this job
*
indicates a required field
