Senior Data Engineer @Level Access
Software Development
Salary unspecified
Remote Location
Job Type full-time
Posted 2d ago

[Hiring] Senior Data Engineer @Level Access

2d ago - Level Access is hiring a remote Senior Data Engineer. πŸ’Έ Salary: unspecified πŸ“Location: India

Role Description

As a Senior Data Engineer, you will play a critical role in designing, building, and operating the data infrastructure that underpins the transformation of Level Access into a unified data platform.

  • 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.

Requirements

  • Advanced Databricks features (Delta Live Tables, MLflow integration).
  • Salesforce API experience (Bulk API 2.0, REST API, SOQL).

Benefits

  • Competitive benefits package, including bonus opportunities.
  • Generous paid time off.
  • Paid holidays.
  • A range of programs designed to support employee well-being and work-life balance.

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.

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Senior Data Engineer @Level Access
Software Development
Salary unspecified
Remote Location
Job Type full-time
Posted 2d ago
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remote Be aware of the location restriction for this remote position: India
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Applied βœ“
Sent Follow-Up βœ“
Interview Scheduled βœ“
Interview Completed βœ“
Offer Accepted βœ“
Offer Declined βœ“
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