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Evening Remote Data Privacy Attorney Jobs (NOW HIRING)

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... Strong grounding in security, compliance, data privacy, and regulatory data handling. Requirements:

GoodRx

Privacy Counsel I

$158K - $254K/yr

You are an attorney with a JD, admission to a state bar, with 3 years of relevant in-house or law firm experience focused on data privacy matters. * Comprehensive understanding and experience with ...

GoodRx

Privacy Counsel I

$158K - $254K/yr

You are an attorney with a JD, admission to a state bar, with 3 years of relevant in-house or law firm experience focused on data privacy matters. * Comprehensive understanding and experience with ...

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$243.5K

How much do evening remote data privacy attorney jobs pay per year?

As of Aug 17, 2026, the average yearly pay for evening remote data privacy attorney in the United States is $156,593.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,500.00 and $196,500.00 per year, depending on experience, location, and employer.

What is an evening remote data privacy attorney?

An Evening Remote Data Privacy Attorney is a legal professional who specializes in data privacy laws and regulations and works during evening hours from a remote location. They advise clients on compliance with laws such as GDPR, CCPA, and other data protection regulations, often helping organizations develop privacy policies, respond to data breaches, and manage risk. Working remotely allows these attorneys to serve clients in different time zones or to accommodate their own schedules, while focusing on legal issues related to the collection, storage, and use of personal data. Their expertise is crucial for businesses that handle sensitive information and must comply with evolving privacy laws.

What are the key skills and qualifications needed to thrive as an evening remote data privacy attorney?

To thrive as an Evening Remote Data Privacy Attorney, you need a Juris Doctor (JD) degree, active bar membership, and deep expertise in data privacy laws such as GDPR, CCPA, and HIPAA. Familiarity with legal research databases (like Westlaw or LexisNexis), compliance management tools, and secure communication platforms is essential. Exceptional attention to detail, strong written communication, and the ability to work independently are crucial soft skills in this remote, client-facing role. These competencies ensure effective legal counsel, regulatory compliance, and the ability to address sensitive data matters efficiently after traditional business hours.

What are the main challenges an evening remote data privacy attorney faces when collaborating with global teams across different time zones?

As an Evening Remote Data Privacy Attorney, one of the primary challenges is coordinating with global teams whose working hours may not align with your schedule. Effective communication becomes crucial, as you may need to address urgent compliance matters or provide guidance on data privacy regulations outside of standard business hours. Staying organized and proactive in managing workflows, utilizing collaboration tools, and setting clear expectations with colleagues can help ensure timely and effective legal support. Flexibility and strong time-management skills are essential to balance responsiveness with your own availability.

What is the difference between Evening Remote Data Privacy Attorney vs Evening Remote Data Privacy Paralegal?

AspectEvening Remote Data Privacy AttorneyEvening Remote Data Privacy Paralegal
CredentialsJurisdiction-specific law degree, bar admissionAssociate degree or paralegal certification
Work EnvironmentLegal firms, corporate legal departments, remoteLegal support teams, law firms, remote
ResponsibilitiesLegal advice, compliance, drafting legal documentsResearch, document preparation, case support

The main difference is that Evening Remote Data Privacy Attorneys are licensed legal professionals providing legal advice and handling complex legal matters, while Evening Remote Data Privacy Paralegals support attorneys with research and document tasks. Attorneys require law degrees and bar admission, whereas paralegals typically need certification or an associate degree. Both roles often work remotely within legal or corporate environments focused on data privacy compliance.

What cities are hiring for Evening Remote Data Privacy Attorney jobs?

Cities with the most Evening Remote Data Privacy Attorney job openings:

What are the most commonly searched types of Remote Data Privacy Attorney jobs?

The most popular types of Remote Data Privacy Attorney jobs are:

What states have the most Evening Remote Data Privacy Attorney jobs?

States with the most job openings for Evening Remote Data Privacy Attorney jobs include:

Evening Remote Data Privacy Attorney jobs near you
Infographic showing various Evening Remote Data Privacy Attorney job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $156,593 per year, or $75.3 per hour.

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$117K - $140K/yr

Full-time

Re-posted 26 days ago

Job description

*Due to NERC regulations US Citizenship, Green Card Hold, or Permanent Residency is required for this role.*

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a team we have successfully supported for a few years.

This is hands-on engineering position requiring the ability evaluate execution layer code.


Data Engineer IV

Position Summary

The Principal Data Engineer / Architect (Data Engineer IV) is a senior technical leader responsible for defining the enterprise-wide data architecture, platform strategy, and governance standards. This role shapes how data is collected, modeled, processed, secured, and consumed across all applications and business domains, ensuring the long-term scalability, reliability, and performance of the organization’s data ecosystem.

Principal Data Engineers drive large-scale modernization, lakehouse and warehouse architecture, MDM adoption, metadata automation, Delta Lake strategy, multi-cloud integrations, and end-to-end data platform evolution. Operating with full autonomy, this role engages with Directors, senior architects, and cross-functional leaders to guide decisions that impact enterprise systems, analytics, compliance, and technology investments.

This position is both strategic and hands-on when needed—solving the hardest technical problems, creating reusable frameworks, and mentoring senior engineers to elevate overall data engineering maturity across the enterprise.

Essential Functions:

  • Own the long-term design and architecture of the enterprise data ecosystem, including ingestion, storage, modeling, lineage, governance, and analytics layers.
  • Design scalable lakehouse, Delta Lake, and distributed data architectures supporting advanced analytics, operational workflows, and integration across business domains.
  • Lead enterprise-wide modernization projects: warehouse migrations, domain modeling redesigns, governance uplift, streaming adoption, or cross-cloud data integrations.
  • Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and compliance across all data teams.
  • Create reusable architectural patterns, frameworks, orchestrations, and platform components adopted across engineering groups.
  • Solve the most complex technical problems, including distributed system bottlenecks, data quality crises, lineage gaps, and multi-domain data reconciliation issues.
  • Guide cost optimization strategy for compute, storage, and orchestration workloads across the data platform.
  • Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ensure alignment with organizational strategy.·
  • Influence leadership decisions regarding data strategy, platform investments, tooling, and sprint/roadmap priorities.
  • Mentor senior engineers, conduct design reviews, and provide technical leadership across teams to raise the overall engineering bar.

Basic Qualifications:

  • Bachelor’s degree in CS/IT/Data Science or equivalent experience (Master’s preferred).
  • 10+ years experience in data engineering, data architecture, or distributed systems engineering.
  • Proven track record designing and implementing enterprise-scale data platforms with Lakehouse/Delta architectures.
  • Expert-level proficiency with SQL, Spark, Python, Databricks, Delta Lake, Azure Data Factory, and distributed processing.
  • Deep understanding of data modeling (conceptual, logical, physical), governance frameworks, MDM, metadata catalogs, and lineage systems.
  • Experience leading multi-team engineering initiatives and influencing architectural decisions at the leadership level.
  • Strong grounding in security, compliance, data privacy, and regulatory data handling.

Requirements:
None