Top 9708 Senior Engineer/Scientist Jobs

Senior Data Engineer
AmeriSave Mortgage Corp. —Remote
- $100,000 - $170,000 a year
- 5 years
- Analysis skills
- Continuous improvement
- Paid training
- Paid holidays
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12d
Senior Engineer/Scientist- Epidemiologist
Planned Systems International, Inc. —Remote
- Full-time
- Remote
- Microsoft Outlook
- Doctor of Philosophy
- SharePoint
- AD&D insurance
- Disability insurance
Senior Scientist / Engineer: Immunology, Nucleic Acid Therapeutics, Synthetic Biology, & Cell Engineering
Intertwine Associates —Remote
- $90,000 - $220,000 a year
- Full-time
- Doctor of Philosophy
- Budgeting
- Senior level
Quick Apply
Senior Scientist / Engineer: Advanced Oncology, Medical Devices, & Diagnostics
Intertwine Associates —Remote
- $90,000 - $220,000 a year
- Full-time
- Remote
- Doctor of Philosophy
- Senior level
- Communication skills
Quick Apply
Senior Data Engineer [Remote-US]
Quanata —Remote
- $215,000 - $300,000 a year
- Online Application
- Remote
- 6 years
- SQL
- Analysis skills
- Paid parental leave
- Health insurance
Quick Apply
Senior Data Engineer, MLOps [Remote-US]
Quanata —Remote
- $213,000 - $300,000 a year
- Online Application
- Remote
- Java
- Bachelor's degree
- Travel
- Paid parental leave
- Health insurance
Quick Apply
Senior Engineer/Scientist - Statistician
Planned Systems International, Inc. —Remote
- Full-time
- Remote
- Microsoft Excel
- Microsoft Outlook
- SQL
- AD&D insurance
- Disability insurance
Research Scientist/Engineer Senior
University of Washington —Seattle, WA
- $104,172 - $168,000 a year
- Full-time
- University
- Doctor of Philosophy
- Acute care experience
Senior Data Science Engineer Specialist - Data Scientist
Concurrent Technologies Corporation —Remote
- Full-time
- Remote
- Background check
- Azure
- Computer Science
Quick Apply
9d
Senior Data Scientist
The College Board —Remote
- $153,000 - $166,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
Senior Process Engineer/Scientist
Solactron —San Jose, CA
- Master's degree
- Doctor of Philosophy
- Experience equivalent to degree accepted
Senior Data Scientist
Point Digital Finance, Inc. —Remote
- $156,750 - $198,450 a year
- Remote
- Computer Science
- Master's degree
- SQL
- Paid parental leave
- Health savings account
Quick Apply
Senior Scientist II – ADC Reaction Engineer
AbbVie —North Chicago, IL
- $109,500 - $208,500 a year
- Full-time
- Management
- Bachelor of Science
- Math
- Paid holidays
- Health insurance
Senior Researcher - Ads Experiences
Netflix —Remote
- $294,000 - $470,000 a year
- Product management
- Psychology
- Senior level
- Paid holidays
- Health insurance
Machine Learning / Senior Machine Learning Scientist / Engineer
CALICO —South San Francisco, CA
- $170,000 - $240,000 a year
- Computer Science
- Analysis skills
- Doctor of Philosophy
Senior Machine Learning Engineer
Zillow.com —Remote
- $171,700 - $274,300 a year
- Full-time
- Remote
- 6 years
- Computer Science
- System design
Senior ML Data Scientist - Women’s Health
Oura —Remote
- $147,000 - $203,000 a year
- Remote
- Computer Science
- Research
- 3 years
- Paid holidays
- Health insurance
Senior Machine Learning Engineer
Indeed —Remote
- $138,000 - $289,000 a year
- Full-time
- Computer science
- 3 years
- Military encouraged
- Paid parental leave
- Paid holidays
Quick Apply
Senior Research Scientist I
Broad Institute —Cambridge, MA
- $115,000 - $161,667 a year
- Full-time
- 5 years
- Analysis skills
- Doctor of Philosophy
- Health savings account
- Paid holidays
Senior Data Scientist
Veeva Systems —Remote
- $135,000 - $185,000 a year
- Full-time
- Remote
- Computer Science
- SQL
- Analysis skills
- Paid holidays
- Health insurance

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Senior Data Engineer

AmeriSave Mortgage Corp. -
Remote

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Job Details

$100,000 - $170,000 a year
12 days ago

Benefits

Paid training
Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance
Employee discount
Life insurance
Referral program

Qualifications

Data integrity assurance
Data model design
Azure SQL Database
Data quality checks
Commercial use (data warehousing systems)
Confidential information handling
Data modeling projects
Query plan analysis
Workflow management (operations management method)
Data retrieval time improvement
Schema design
Database server management
Data Architecture Design (Architecture design skills)
Data integrity process (data warehousing)
Finance industry (data warehouse design experience)
Azure Data Factory
Capacity planning
Managing cloud database deployments
System tuning
Project stakeholder communication
Python
Cross-functional communication
T-SQL

Full Job 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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