Senior Data Quality Engineer — Remote & Automation Leader

Abacus Insights Inc.

United States

Remote

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Unlimited PTO
Work from anywhere
Comprehensive health coverage
Equity for every employee
Growth-focused environment
Home office setup allowance
Monthly cell phone allowance

Job summary

Abacus Insights Inc. is seeking a Senior Data Quality Engineer to own the accuracy, reliability, and compliance of healthcare data powering our cloud-native platform. You will architect automated testing, lead validation strategy, and mentor QA engineers.

You will collaborate with Engineering and Product leadership to maintain high-trust datasets for health plans at scale, focusing on PHI security, HIPAA, and governance as the platform grows.

Qualifications

  • Bachelor's or Master's in CS/IS/Data Analytics or related field or equivalent
  • 6–8+ years in Data Quality and Data Engineering, healthcare experience
  • Expert SQL skills with large-scale data manipulation and profiling

Responsibilities

  • Architect automated data quality validation frameworks at scale
  • Lead automated test strategies for healthcare data pipelines
  • Drive root-cause analysis and remediation for defects
  • Define and evolve data quality strategy and standards across pipelines
  • Mentor junior QA engineers and collaborate with cross-functional teams

Skills

SQL
Python/Java automation
Data quality engineering
Healthcare data domain
Leadership
Communication

Education

Bachelor's or Master's degree in CS/IS/Data Analytics or related

Tools

AWS (S3, EC2, SSM, Athena)
Databricks
Delta Lake
Spark
Airflow
dbt
Terraform

Job description

Abacus Insights Inc. is seeking a Senior Data Quality Engineer to own the accuracy, reliability, and compliance of healthcare data powering our cloud-native platform. You will architect automated testing, lead validation strategy, and mentor QA engineers.

You will collaborate with Engineering and Product leadership to maintain high-trust datasets for health plans at scale, focusing on PHI security, HIPAA, and governance as the platform grows.

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