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Data Engineer

careerselite.com • United State
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AI Summary

We are looking for a Data Engineer to support a modern data platform built on Databricks. This role will focus on building scalable data pipelines, supporting a metadata-driven ingestion framework, and ensuring data quality and governance are embedded into the platform.

Key Highlights
Develop and maintain data pipelines using PySpark and Databricks
Support ingestion from file-based sources and ingestion tools (e.g., Fivetran)
Contribute to data governance practices including tagging, metadata, and lineage
Key Responsibilities
Develop and maintain data pipelines using PySpark and Databricks
Work within a metadata-driven ingestion framework to onboard new datasets
Implement data quality checks and validation rules within pipelines
Technical Skills Required
PySpark Databricks SQL
Benefits & Perks
Medical, Dental, Vision plans
Paid Time Off and Sick Leave
401k/403B with Employer Match
Nice to Have
Familiarity with cloud platforms (Azure preferred)
Basic experience with Git and version control
Exposure to data catalog or governance tools (e.g., DataHub)

Job Description


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Data Engineer - Remote

Sentara Healthcare

  • Full-time
  • Remote
  • $80.21k - $133.68k / year
  • 8h ago

City/State

Virginia Beach, VA

Work Shift

First (Days)

Overview:

This is a fully remote position.

Work Location:

Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington (state), West Virginia, Wisconsin, Wyoming

Overview

We are looking for a Data Engineer to support a modern data platform built on Databricks. This role will focus on building scalable data pipelines, supporting a metadata-driven ingestion framework, and ensuring data quality and governance are embedded into the platform.

Key Responsibilities

  • Develop and maintain data pipelines usingPySpark and Databricks
  • Work within ametadata-driven ingestion frameworkto onboard new datasets
  • Implementdata quality checks and validation ruleswithin pipelines
  • Support ingestion fromfile-based sources and ingestion tools (e.g., Fivetran)
  • Handleschema changes, incremental loads, and file processing patterns
  • Contribute todata governance practicesincluding tagging, metadata, and lineage
  • Troubleshoot and resolve pipeline failures and performance issues
  • Collaborate with architects and stakeholders ondata onboarding and requirements
  • Follow and contribute tocoding standards, reusable components, and best practices

Education

  • Experience in lieu of a Bachelor27s Degree
  • 3+ years of relevant experience with a degree
  • 5+ years of relevant experience without a degree

Certification/Licensure

  • No specific certification or licensure requirements

Experience

  • Required to 3 to 5 years of relevant experience
  • Hands-on experience withPySpark and Databricks
  • Strong SQL skills
  • Experience buildingETL/ELT data pipelines
  • Understanding ofDelta Lake concepts(merge, schema evolution, partitions)
  • Familiarity withcloud platforms (Azure preferred)
  • Basic experience withGit and version control
  • Exposure todata catalog or governance tools (e.g., DataHub)
  • Experience withFivetran or similar ingestion tools
  • Understanding ofdata quality and validation concepts
  • Experience working withmetadata-driven frameworks
  • Strong problem-solving and debugging skills
  • Ability to work in a structured, framework-driven environment
  • Focus on data quality, not just pipeline execution
  • Willingness to learn and adapt in a fast-evolving data ecosystem

We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $80,204.80 - $133,681.60. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.

Keywords: Data Engineer, Azure, ACP, Azure Cloud Platform, Fivetran, metadata, PySpark, Databricks

Benefits: Caring For Your Family and Your Career

Medical, Dental, Vision plans

Adoption, Fertility and Surrogacy Reimbursement up to $10,000

Paid Time Off and Sick Leave

Paid Parental & Family Caregiver Leave

Emergency Backup Care

Long-Term, Short-Term Disability, and Critical Illness plans

Life Insurance

401k/403B with Employer Match

Tuition Assistance 6 $5,250/year and discounted educational opportunities through Guild Education

Student Debt Pay Down 6 $10,000

Reimbursement for certifications and free access to complete CEUs and professional development

Pet Insurance

Legal Resources Plan

Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met.

Sentara Healthcare

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