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Flex Schedule Remote Data Engineer Jobs (NOW HIRING)

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$115K - $139K/yr

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 ...

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 team we have successfully supported for a few years. This is hands-on engineering position requiring ...

INFT Solutions Inc

Remote-Data Engineer- Only W2

Atlanta, GA · Remote

$110K - $132K/yr

Data Engineer Location: Remote Role Focus: Pipeline Development + Support Key Skills / Responsibilities: Build and maintain ETL pipelines Support batch + CDC ingestion (including mainframe) Data ...

Swoon Staffing

Refinery Data Engineer

Dallas, TX · Remote

$45 - $47.33/hr

Title: Refinery Data Engineer Location: 100% remote-flex with time zones Type: Contract Pay: $45-47.33/hour on w2 Length: 8+ months- expected to end at end of year but possibility to extend ...

NuView

Data Engineer

$100K - $140K/yr

This role is remote but candidate must reside in the United States. Initial onboarding will be ... Flex support when capacity allows: contribute to analyst-side deliverables such as Power BI ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Duration: 6-12 months Location: Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key contributor, you will be responsible for integrating into ...

NAVA Software Solutions

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript * 3+ Years ...

Noblesoft Technologies

Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Minneapolis, MN(Remote) Job Details: Candidate should be proficient in Data engineering skills : Data Bricks, ADF, Python, Pyspark, Azure services Data Engineer

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Client is seeking a data engineer to grow our team performing cutting edge client work in mission ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

Lorven Technologies

Data Engineer

$117K - $140K/yr

Hi, Our client is looking for a Data Engineer for Remote below is the detailed requirement. Job Title: Data Engineer Location: Remote Role * Bachelor's degree in related field. * Hands-on experience ...

SITA Switzerland Sarl

Data Engineer

Cedar Brook, NJ · On-site +1

$113K - $136K/yr

You understand airline operational data such as schedules, crew, assignments and qualifications, or ... Flex Week: Work from home up to 2 days/week (depending on your team's needs) Flex Day: Make your ...

Lancesoft

Data Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $41/hr

Lead Data Engineer -Data & AI, Supply Chain Fully Remote Rate: $40/hour About the Role Tech is seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI Organization. This role ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

P3 Health Partners

Data Engineer

Henderson, NV · On-site +1

$135K - $165K/yr

The Data Engineer is a hands-on technical contributor accountable for the design, development ... Work Location & Schedule This role offers either a hybrid or fully remote work arrangement.

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design, coding, performance tuning, and implementation of new data warehousing solutions. * Evaluation ...

Navtech, Inc.

URGENT NEED - Data Engineer ___ REMOTE

$117K - $140K/yr

I have an opportunity for " Data Engineer ___ REMOTE" and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you could refer ...

Sentara Healthcare

Data Engineer - Remote

Virginia Beach, VA · On-site +1

$108K - $130K/yr

Sentara is hiring a Data Engineer! This is a fully remote position. Work Location: Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas ...

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All JobsData Engineer JobsFlex Schedule Remote Data Engineer Jobs

Flex Schedule Remote Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do flex schedule remote data engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for flex schedule remote data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a Flex Schedule Remote Data Engineer?

A Flex Schedule Remote Data Engineer is a professional who designs, builds, and maintains data infrastructure and systems while working remotely with flexible working hours. Unlike traditional roles that require set office hours, this position allows employees to choose when they work, as long as they meet deadlines and project requirements. The role typically involves tasks such as data pipeline development, database management, and collaboration with other teams, all performed from a remote location.

How does a flex schedule impact collaboration and communication for remote Data Engineers?

Working as a remote Data Engineer with a flexible schedule allows you to tailor your working hours, but it also means that proactive communication is essential. You'll often collaborate with team members in different time zones, so clear documentation and regular updates via project management tools become crucial. Many teams address these challenges by scheduling core overlapping hours for meetings and using asynchronous communication channels like Slack or email. This setup supports both individual productivity and effective teamwork, but requires strong self-management and responsiveness to ensure projects remain on track.

What are the key skills and qualifications needed to thrive as a Flex Schedule Remote Data Engineer, and why are they important?

To thrive as a Flex Schedule Remote Data Engineer, you need a strong background in computer science, experience with data modeling, ETL processes, and proficiency in programming languages like Python or SQL. Familiarity with cloud platforms (e.g., AWS, Azure, GCP), big data tools (such as Spark or Hadoop), and certifications in cloud or data engineering are highly valued. Excellent time management, self-motivation, and communication skills are crucial for effective remote collaboration and meeting project deadlines. These competencies ensure you can independently build robust data pipelines and collaborate seamlessly across distributed teams.
More about Flex Schedule Remote Data Engineer jobs
What cities are hiring for Flex Schedule Remote Data Engineer jobs? Cities with the most Flex Schedule Remote Data Engineer job openings:
What states have the most Flex Schedule Remote Data Engineer jobs? States with the most job openings for Flex Schedule Remote Data Engineer jobs include:
What job categories do people searching Flex Schedule Remote Data Engineer jobs look for? The top searched job categories for Flex Schedule Remote Data Engineer jobs are:
Flex Schedule Remote Data Engineer jobs near you
Infographic showing various Flex Schedule Remote Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$115K - $139K/yr

Full-time

Re-posted 11 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.

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