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Flexible Remote Azure Data Engineer Jobs in Oregon

AmeriSave Mortgage Corp.

$100K - $136K/yr

The Senior Data Engineer will report directly to the Senior Vice President of Enterprise ... Utilize T-SQL and Azure Data Factory to create, optimize, and manage data integration workflows.

Elite Technology

Data Architect

OR · Remote

$153K - $170K/yr

Remote What You'll Do: * Define and implement the data architecture strategy for our SaaS platform ... Partner with other architects and engineers to design and deliver AI solutions using the most ...

360training

Data Architect Manager

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, NJ, PA ... This role will help design and deliver a modern cloud data platform, with an emphasis on the Azure ...

ASPCA

Senior Enterprise Data Engineer

$138K - $143K/yr

Flexible time off that includes vacation time, paid personal time, sick time, bereavement time ... Azure Data Factory for enterprise pipeline orchestration, monitoring, scheduled and event-driven ...

Kynite

Azure Platform Lead/ Architect

OR · On-site +1

$59.50 - $77.50/hr

... Data Factory, Azure Storage accounts, Key Vaults etc. • Good hands-on experience on Azure Cloud to understand the IAM, VM build process, storage account and other services. • Flexible to work on ...

Wellbe Senior Medical

Senior Data Engineer

$105K - $150K/yr

Experience building pipelines in Azure Data Factory required. Experience building API data ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency ...

Wellbe Senior Medical

Data Engineer

$90K - $135K/yr

Job Summary As a Data Engineer at Wellbe you will play a pivotal role in collecting, processing ... Experience building pipelines in Azure Data Factory required. Snowflake data processing with Tasks ...

Cotiviti

Data Engineer - AI

$101K - $132K/yr

Flexible work schedule. * Experience with project management tools like JIRA. * Databricks and/or ... REMOTE #LI-LL1 #SENIOR Employment Type: OTHER

Moda Health

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Exposure to DevOps practices using tools such as Azure DevOps (CI/CD, work item tracking, GIT ... A reliable, high-speed, hard-wired internet connection required to support remote or hybrid work.

Origami Risk LLC

Senior Data Engineer

$117K - $146K/yr

We offer vacation and sick leave benefits (under a flexible time off policy in most states ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

Tebra

Data Engineer

OR · Remote

$114K - $137K/yr

About the Role As a Data Engineer focused on AI/ML , you'll build, maintain, and optimize the data ... Remote

Netflix

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

... remote in the US with occasional visits to Los Gatos) depending on the team your skills are most ... Full-time salaried employees are immediately entitled to flexible time off. See more details about ...

Fieldwire

Data Engineer

OR · Remote

$120K - $150K/yr

This is a fully remote role based in the United States. What you'll be doing The primary ... our next Data Engineer to have the following skills and experiences Core qualifications and ...

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

Terzo

(Sr/Staff) Platform Engineer

OR · On-site +1

US - Remote Level : Senior Individual Contributor Team : Engineering The Opportunity Terzo ... This includes cloud infrastructure on Azure, data pipeline orchestration (Ray, Service Bus, CDC ...

LMI

Data Engineer - Clearance Required

$101K - $170K/yr

Overview LMI seeks an experienced Data Engineer to support the U.S. Army's Holistic Health ... This position may be performed in a remote or hybrid capacity. * Travel: Limited travel to Fort ...

Wheelhouse

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

Wheelhouse believes a more flexible & connected world is both inevitable & important, and we build ... We're a remote-first, work-anywhere, and "yes - you should make time for that adventure/vacation ...

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Flexible Remote Azure Data Engineer information

What is the difference between Flexible Remote Azure Data Engineer vs Flexible Remote Data Analyst?

AspectFlexible Remote Azure Data EngineerFlexible Remote Data Analyst
Required CredentialsAzure certifications, SQL, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud-based, technical, infrastructure-focusedData interpretation, reporting, business insights
Employer & Industry UsageTech, finance, healthcare, cloud service providersMarketing, finance, retail, consulting firms

Flexible Remote Azure Data Engineers focus on building and maintaining data pipelines in cloud environments using Azure tools, requiring technical certifications. Data Analysts interpret data and create reports, often using similar tools but with a focus on business insights. Both roles are remote-friendly and in high demand across industries, but their core responsibilities and skill sets differ.

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Flexible Remote Azure Data Engineer jobs near you

Senior Data Engineer

AmeriSave Mortgage Corp.

On-site, Remote

$100K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

Description
AmeriSave Mortgage Corporation has set the standard in online mortgage lending with over $130 billion in funded loan volume. As one of the top-rated, largest privately-owned online mortgage lenders in the nation, our mission is to deliver beneficial, responsible home lending solutions with unwavering integrity, dedication and excellence. As a leading mortgage lender, we pride ourselves on our innovative approach and commitment to customer satisfaction.
Our employees are the driving force behind our success. We believe in the power of a dynamic and talented workforce and creating an environment where your contributions are not just recognized, they're celebrated. Your success is our success, and we are seeking skilled professionals who are ready to bring their A-game, exceed benchmarks and enhance the overall excellence of AmeriSave, while also growing and advancing their careers.
At AmeriSave, we're one team with one shared dream - to be the best. Let's redefine excellence together!
What We're Looking For:
We are seeking a highly skilled Senior Data Engineer to join the Enterprise Intelligence department at AmeriSave Mortgage. This role will be responsible for designing, developing, and maintaining a best-in-class enterprise data warehouse to support advanced analytics, data science, and Artificial Intelligence activities throughout the company. The Senior Data Engineer will report directly to the Senior Vice President of Enterprise Intelligence.
Observability & Monitoring
  • Own the control tower for database health across the Azure SQL estate - standing up and maintaining monitoring through database watcher, Azure Monitor metrics and alerts, Query Store, DMVs, and Log Analytics / KQL.
  • Establish wait-statistics, file-I/O, and resource (DTU/vCore) baselines per workload, defining what "normal" looks like per workload and per time-of-day.
  • Define and continuously tune Azure Monitor alert rules and action groups (blocking, deadlocks, long-running queries, resource saturation) against those baselines so alarms stay trusted and acted upon - alerting on statistical deviation rather than arbitrary thresholds.

What You'll Do:
  • Design, develop, and maintain robust enterprise data warehouse solutions that support data science, artificial intelligence, and business intelligence requirements.
  • Architect scalable ETL/ELT pipelines to efficiently transform raw data into structured, analytics-ready formats.
  • Build and manage API integrations, including hands-on API development.
  • Utilize T-SQL and Azure Data Factory to create, optimize, and manage data integration workflows.
  • Use Microsoft Fabric notebooks for transformation and orchestration where appropriate, leveraging Lakehouse and Warehouse for supplemental storage.
  • Ensure high data quality, integrity, and performance through meticulous query tuning and process optimization.
  • Collaborate with data scientists, software developers, business intelligence teams, and stakeholders to develop and deploy data solutions that meet business needs.
  • Translate business requirements into technical solutions and coordinate smoothly between engineering and other teams.
  • Lead the creation of scalable, reliable data models and optimize them for performance and usability.
  • Drive continuous improvement in data engineering processes and practices to keep them efficient and aligned with industry best practices.
  • Monitor system performance and proactively implement improvements to maximize efficiency and scalability.
  • Troubleshoot and resolve data-related issues to ensure reliable data delivery.

What You'll Need:
  • This role is ideal for someone who thrives in a dynamic, fast-paced environment, enjoys solving complex data problems, and is passionate about driving innovation in data engineering.
  • 5+ years of hands-on experience in data warehousing, data engineering, or a similar role.
  • Extensive experience with T-SQL, including advanced query development and performance tuning.
  • 5+ years as a SQL Server / Azure SQL DBA - performance tuning, index and statistics management, execution-plan analysis, and proactive capacity planning.
  • Proficiency with pipeline development and configuration using Azure Data Factory (ADF).
  • Working familiarity with Microsoft Fabric (notebooks and pipelines for transformation, Lakehouse, and Warehouse)
  • Expertise in Python for data engineering tasks, including data manipulation and workflow management.
  • Strong understanding of data modeling, data architecture, and best practices in data governance.
  • Experience handling sensitive/PII data and supporting data quality and governance in a regulated, financial-services environment.
  • Experience preparing clean, analytics- and ML-ready datasets to support data science and AI workloads.
  • Excellent problem-solving skills and the ability to work independently as well as collaboratively.
  • Strong communication skills to effectively liaise with both technical teams and non-technical stakeholders.

**Please note that the compensation information that follows is a good faith estimate for this position only and is provided pursuant to the Colorado Equal Pay for Equal Work Act and Equal Pay Transparency Rules. It is estimated based on what a successful Colorado applicant might be paid. It assumes that the successful candidate will be in Colorado or perform the position from Colorado. Similar positions located outside of Colorado will not necessarily receive the same compensation. **
Compensation:
Annual compensation for this position generally ranges from $100,000 - $170,000.
Benefits:
• 401(k)
• Dental insurance
• Disability insurance
• Employee discounts
• Health insurance
• Life insurance
• Paid time off
• 12 paid holidays per year
• Paid training
• Referral program
• Vision insurance
Supplemental pay types:
• Bonus
• Referral bonuses
AmeriSave is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
California Consumer Privacy Act Disclosure Acknowledgment
Employment Applicants, New Hires, and Employees Residing in California
AmeriSave Mortgage Corporation's Privacy Policy Statement ("Policy") can be reviewed here: www.amerisave.com/privacy-policy
AmeriSave Mortgage Corporation's California Consumer Privacy Act ("CCPA") Recruitment Disclosure can be reviewed here: https://www.amerisave.com/ccpa-recruitment-disclosure/
When AmeriSave's Human Resources Department makes future requests for personal information, the same Policy is applicable. By applying, you understand this acknowledgment covers current and future personal information requests. You also acknowledge the business purpose of the personal information collected and that future requests may occur while applying for a position at AmeriSave and/or during employment, if applicable.

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