2

Work From Home Data Engineer Jobs in Remote, OR (NOW HIRING)

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... This individual must reside within commuting distance from our Baltimore HQ office. * Work Schedule:

Software Developer II

OR · Remote

$67K - $90K/yr

Location This is a Work From Home position available from any US-based location. You must be a US ... Proficiency in Data Engineering & Databases - PostgreSQL knowledge (queries, migrations ...

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ... Responsible for the full life cycle of development, from requirements gathering through data ...

Senior Lead Cloud Engineer

OR · Remote

$132K - $176K/yr

Location This is a work from home position within the US. The Main Responsibilities * Develop and ... Proficiency in data analysis and visualization tools (e.g., Excel, Power BI, Tableau) * Familiarity ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Data Scientist

OR · On-site +1

Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and ... Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing.

Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility. Working at SOSi All interested individuals will receive ...

Work cross-functionally with Product, Engineering, Network, and Security to embed governance ... Job-related concerns identified during the background screening may disqualify you from the new ...

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

... world-from the moment of birth through every phase of life. Our mission is simple, yet powerful ... Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence.

Our editors and other teammates are here to support you. Work from anywhere, any hours (we just ... on data to make decisions -3+ years of social media marketing and content creation -Editorial ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

next page

Showing results 1-20

Work From Home Data Engineer information

See Remote, OR salary details

$44.5K

$129.6K

$177.3K

How much do work from home data engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for work from home data engineer in Remote, OR is $129,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,400.00 and $137,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Work From Home Data Engineer, and why are they important?

To thrive as a Work From Home Data Engineer, you need strong programming skills (typically in Python, SQL, or Scala), a solid understanding of data modeling, and a degree in computer science or a related field. Familiarity with data engineering tools like Apache Spark, Hadoop, ETL frameworks, and cloud platforms such as AWS or Azure, along with relevant certifications, is highly valued. Excellent problem-solving abilities, self-motivation, and effective remote communication are essential soft skills for remote collaboration. These skills are crucial for building reliable data pipelines, ensuring data quality, and contributing effectively to distributed teams.

How can I make $2000 a week working from home?

Work from home data engineers can increase earnings by taking on multiple freelance or contract projects, specializing in high-demand skills like cloud platforms or big data tools, and maintaining a strong professional network. Building a reputation for quality work and acquiring relevant certifications can also lead to higher-paying opportunities. Earning $2000 weekly typically requires consistent project volume or high hourly rates, often achieved through experience and specialization.

How do remote Data Engineers typically collaborate with team members and stakeholders?

Remote Data Engineers usually rely on a combination of communication and project management tools, such as Slack, Zoom, Jira, and GitHub, to stay connected with their teams. Regular virtual meetings, code reviews, and shared documentation help ensure alignment on project goals and data solutions. Collaboration often involves working closely with data analysts, software engineers, and product managers to understand requirements, design robust data pipelines, and troubleshoot issues. Proactive communication and strong documentation skills are essential for success in a distributed environment.

What engineer makes $500,000 a year?

Highly experienced data engineers with specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in senior or leadership roles at large tech companies. Such compensation often includes bonuses, stock options, and other incentives, and typically requires extensive experience and expertise in tools like Spark, Hadoop, and cloud services like AWS or Azure.

How to make $1000 a week remote?

A work from home data engineer can earn $1000 a week by taking on multiple freelance or contract projects, increasing hourly rates through specialized skills like data pipeline development or cloud computing, and maintaining a consistent workload. Building a strong portfolio, gaining relevant certifications, and leveraging platforms like Upwork or Toptal can help secure higher-paying opportunities.

Can you work from home as a data engineer?

Yes, data engineers can often work from home, especially in roles that involve tasks like data pipeline development, database management, and coding, which can be performed remotely using tools like cloud platforms and collaboration software. However, some positions may require on-site presence for team meetings or hardware access, depending on the company's policies.

What does a Work From Home Data Engineer do?

A Work From Home Data Engineer is responsible for designing, constructing, and maintaining systems and architecture that allow organizations to collect, store, and analyze large amounts of data. Working remotely, they build and manage data pipelines, ensure data quality, and collaborate with other teams to support data-driven decision-making. These engineers often use programming languages like Python or SQL and work with cloud platforms to process and manage data securely from their home offices.

What is the difference between Work From Home Data Engineer vs Data Analyst?

AspectWork From Home Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, technical teams, cloud platformsRemote or on-site, business teams, reporting tools
Employer & Industry UsageTech, finance, healthcare companiesMarketing, retail, finance sectors

Work From Home Data Engineers focus on building data pipelines and managing data infrastructure, requiring technical skills and cloud platform experience. Data Analysts interpret data to generate insights, often using reporting tools. While both roles can be remote and involve data, their core responsibilities and skill sets differ significantly.

What are popular job titles related to Work From Home Data Engineer jobs in Remote, OR? For Work From Home Data Engineer jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Work From Home Data Engineer jobs in Remote, OR look for? The top searched job categories for Work From Home Data Engineer jobs in Remote, OR are:
What cities near Remote, OR are hiring for Work From Home Data Engineer jobs? Cities near Remote, OR with the most Work From Home Data Engineer job openings:
Infographic showing various Work From Home Data Engineer job openings in Remote, OR as of June 2026, with employment types broken down into 2% As Needed, 56% Full Time, 32% Part Time, and 10% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $129,588 per year, or $62.3 per hour.
Sr. Data Analytics Engineer

Sr. Data Analytics Engineer

Under Armour, Inc.

OR • On-site, Remote

$125K - $165K/yr

Other

Medical, Retirement

Posted 22 days ago


Under Armour rating

6.9

Company rating: 6.9 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

20th of 102 rated fashion retailers


Job description

Values & Innovation

At Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality - serve as both a roadmap for our teams and the qualities expected of every teammate.

Our Values define and unite us, the beliefs that are the red thread that connects everyone at Under Armour. Our values are rallying cries, reminding us why we're here, and fueling everything we do.

Our pursuit of better begins with innovation and with our team's mission of being the best. With us, you get the freedom to go further - no matter your role. That means developing, delivering, and selling the state-of-the-art products and digital tools that make top performers even better.

If you are a current Under Armour teammate, apply to this position on the Internal Career Site Here. 

Purpose of Role

Under Armour is seeking a highly motivated Sr. Data Analytics Engineer to join our Enterprise Data Management & Analytics team. This role plays a key part in enabling decision intelligence by building scalable data transformation frameworks and data products. As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will lead complex programs, mentor junior engineers, and influence architectural direction across product decision teams. Partnering with Analytics, Automation & AI, and Governance teams, you will deliver trusted data products that drive smarter, faster decisions. 

Your Impact

Data Engineering & Architecture:

  • Lead data model design, semantic layer definition, and scalable ELT architecture.  
  • Design and deliver advanced data models, automation workflows, and decision-intelligence solutions.  
  • Build high-quality analytical datasets and visualization-optimized data structures.  

Quality, CI/CD & Operational Excellence:

  • Own CI/CD deployment pipelines and release management processes.  
  • Drive engineering best practices include testing, observability, modular modeling, and documentation.  
  • Optimize Snowflake warehouse performance, cost efficiency, RBAC, and semantic layer design.  
  • Lead root-cause analysis and long-term fixes for complex data issues.  

Leadership & Collaboration: 

  • Mentor junior engineers and uplift engineering maturity across squads.  
  • Facilitate stakeholder sessions to translate business requirements into scalable data products.  
  • Influence architectural decisions and emerging-technology adoption.  
  • Partners across EDMA, AI/Automation, Platform, and Governance teams.  
  • Responsible for on-call support and proactive monitoring of the EDMA platform to ensure seamless production operations and support for teams across all regions. 

AI Enablement:

  • Apply Generative AI tools to streamline development workflows and enhance product quality.  
  • Contribute to the design of AI-enabled automation solutions.  
Qualifications
  • Bachelor's degree with typically 5 years of relevant experience or Master's degree with typically 3 years of relevant experience or typically 9 years of relevant work experience without a degree.  
  • Expert SQL abilities with mastery in complex data transformation patterns.  
  • Deep expertise in data modeling, ELT design, and enterprise data architecture.  
  • Proven ability to design scalable data apps, automation pipelines, and decision-intelligence solutions.  
  • 4+ Years of experience with Tableau or similar analytics platforms.  
  • 5+ Years of dbt experience (modular modeling, testing, documentation, governance) or equivalent.  
  • 2+ Years of experience & strong background in CI/CD engineering best practice.  
  • 5+ Years of Snowflake experience (VWH optimization, RBAC, cost/performance engineering, semantic layer design).  
  • Advanced Python for automation, orchestration, and engineering workflows.  
  • Working knowledge of automation tools (e.g., Elementum).  
  • Strong capability to influence architecture, mentor peers, and drive emerging technology adoption.  
  • Generative AI applies responsibly to accelerate development and improve quality.  
  • Experience with AI Coding Assistants (e.g. GitHub Copilot, Claude, Cursor, Cortex Code).
  • Skilled at bridging the gap between technical depth and business clarity through impactful communication. 
Workplace Location
  • Location: This individual must reside within commuting distance from our Baltimore HQ office.
  • Work Schedule: Candidates must reside within a commutable distance to our corporate headquarters in Baltimore, Maryland, as periodic on-site attendance may be required  
  • Travel: Minimal
  • Licenses/Certifications: N/A
  • Sponsorship Eligibility: UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time.

#LI-SA1

#REMOTE

#HYBRID

Relocation
  • No relocation provided
Base Compensation

 $125,000.00-$165,000.00 USD

Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual's relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package.

Benefits & Perks
  • Paid "UA Give Back" Volunteer Days: Work alongside your team to support initiatives in your local community
  • Under Armour Merchandise Discounts
  • Competitive 401(k) plan matching
  • Maternity and Parental Leave for eligible and FMLA-eligible teammates
  • Health & fitness benefits, discounts and resources- We offer teammates across the country programs to promote physical activity and overall well-being
Our Commitment to Equal Opportunity

At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. If a reasonable accommodation is needed to participate in the job application or interview process, please contact our Human Resources team via candidateaccommodations@underarmour.com.


What Under Armour employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom