Top 256 data engineer Jobs in richmond, ca

Data Engineer III
Inland Empire Health Plan —California
- $118,601.60 - $157,144.00 a year
- Full-time
- Hybrid work
- Computer Science
- Research
- Office
- Disability insurance
- Health insurance
Analytics Data Engineer
Anthropic —San Francisco, CA
- $275,000 - $370,000 a year
- Hybrid work
- 5 years
- Office
- SQL
- Parental leave
- Flexible schedule
Software Engineer, AI Data & Evaluation
Mercor —San Francisco, CA
- $130,000 - $500,000 a year
- Full-time
- System design
- Office
- Continuous improvement
- Health insurance
- Dental insurance
8d
Software Engineer, Data
Whatnot —San Francisco, CA
- $220,000 - $290,000 a year
- Full-time
- Remote
- Mid-level
- 3 years
- APIs
- Paid parental leave
- Health insurance
Growth Data Engineer
Embedding VC —San Francisco, CA
- Full-time
- Remote
- 3 years
- SQL
- APIs
Quick Apply
Software Engineer (Big Data)
Quantcast —San Francisco, CA
- $138,500 - $162,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Java
Quick Apply
Data Engineer
Punch Agency —San Francisco, CA
- From $150,000 a year
- Full-time
- Computer science
- Computer Science
- Office
Quick Apply
Python/Data Engineer - SMA Solutions, Associate
BlackRock Investments —San Francisco, CA
- $132,500 - $162,000 a year
- Hybrid work
- Computer science
- Azure
- Computer Science
- Health insurance
- Tuition reimbursement
Data Engineer
Sutter Health —Walnut Creek, CA
- $126,256.00 - $217,796.80 a year
- Weekends as needed
- Hybrid work
- Computer Science
- Writing skills
- System design
- Work from home
Data & BI Engineer - Odos
deCircle —San Francisco, CA
- Full-time
- Remote
- Mid-level
- 3 years
- APIs
Quick Apply
Founding Data Engineer
Higgsfield —San Francisco, CA
- Full-time
- Hybrid work
- Office
- SQL
- Senior level
Quick Apply
Data Engineer
Promise —San Francisco, CA
- $150,000 - $210,000 a year
- Full-time
- Hybrid work
- 5 years
- Office
- SQL
- Health insurance
- Dental insurance
Staff Software Engineer, Data Infra
Watney —San Francisco, CA
- $200,000 - $275,000 a year
- Full-time
- 7 years
- Office
- Java
11d
Staff Data Engineer
Headspace —San Francisco, CA
- $140,400 - $224,250 a year
- Full-time
- Remote
- Computer science
- 6 years
- Computer Science
- Health insurance
- Parental leave
8d
Data Engineer
You.com —San Francisco, CA
- $185,000 - $225,000 a year
- Full-time
- Hybrid work
- 6 years
- SQL
- US work authorization
- Paid parental leave
- Health insurance
Senior Data Engineer
Aircapture —Berkeley, CA
- $180,000 - $220,000 a year
- Computer science
- 6 years
- Computer Science
Data Platform Engineer
PrizePicks —San Francisco, CA
- $100,000 - $150,000 a year
- Full-time
- Remote
- Mid-level
- 3 years
- US work authorization
- Paid parental leave
- Disability insurance
Quick Apply
Data Engineer
Windfall —San Francisco, CA
- $170,000 - $220,000 a year
- Full-time
- Hybrid work
- Mid-level
- AI
- 4 years
4d
Data Engineer
Penrose Studios —San Francisco, CA
- Computer science
- Computer Science
- 5 years
GCP Data Engineer
Recutify Inc. —San Francisco, CA
- $45 - $50 an hour
- Contract
- 5 years
- SQL
- Mentoring
Quick Apply
4d

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data engineer jobs near richmond, ca

Data Engineer III

Inland Empire Health Plan -
California

Apply Now

Job Details

Full-time
$118,601.60 - $157,144.00 a year

Benefits

457(b)
Disability insurance
Health insurance
On-site gym
Dental insurance
Flexible spending account
Vision insurance
Opportunities for advancement
Life insurance

Qualifications

Azure SQL Database
Version control
Commercial use (data warehousing systems)
Cloud analytics services
Software engineering
Databricks
Defect resolution root cause analysis
Requirements design
Tooling
Privacy law
Visio
MongoDB
Infrastructure architecture design
Azure Synapse Analytics
Data Architecture Design (Architecture design skills)
Cloud database architecture
Azure Cosmos DB
Azure Data Factory
Requirements analysis
Cloud automation
Kafka
Root cause analysis
DevOps automation
Business requirements
Real-time data processing implementation
Data performance optimization

Full Job Description

Overview:

What you can expect!

Find joy in serving others with IEHP! We welcome you to join us in “healing and inspiring the human spirit” and to pivot from a “job” opportunity to an authentic experience!

Under the direction of the Department Leadership, the Data Engineer III is responsible for the design, planning and development of IEHP data solutions. The Data Engineer III will lead the design and development of data transformation. This position will be involved in data architecture. The Data Engineer III is expected to lead by example. In this role the Data Engineer III will follow coding standards throughout all aspects of the solution development to produce efficient and high-quality solutions, in addition to collaboration with, inter-departments to ensure member needs are met while simultaneously building strong peer relationships.

Key Responsibilities:

1. Design, develop and implement reliable and effective data solutions based on business requirements.
2. Maintain process design artifacts like data flow diagrams, end user process maps and technical design documents.
3. Find trends in data sets and develop algorithms to help make raw data more useful to IEHP.
4. Create and maintain optimal data pipeline architecture that meet security standards.
5. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
6. Develop best practices for database design and development activities.
7. Create complex functions, scripts, and services to support the Data Services team.
8. Ensure all data solutions meet company and performance requirements.
9. Work under minimal supervision with wide latitude for independent judgment.
10. Conduct code reviews.
11. Direct and mentor some level I and II engineers.
12. Serve as a subject matter expert in key business projects.
13. Recommend improvements to existing Data Services processes as necessary.
14. Provide detailed analysis of data issues; data mapping; and the process for automation and enhancement of data quality.
15. Analyze and integrate new technologies with existing applications to improve the design and functionality of applications.
16. Maintain proficient programming skills in REST web services, C#.NET, TSQL, XML, JSON, and other relevant languages and/or frameworks.
17. Develop and automate solutions to consume data from multiple data sources, including external API
18. Program and modify code in languages like Java, Json, Python, and Spark to support and implement Data Warehouse solutions.
19. Design and deploy enterprise-scale cloud infrastructure solutions.
20. Research, analyze, recommend and select technical approaches for solving difficult and meaningful development and integration problems.
21. Work closely with the Data and Engineering teams to design best in class Azure implementations.
22. Clearly and regularly communicate with management, colleagues, and domain units.

Commitment to Quality: The IEHP Team is committed to incorporate IEHP’s Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.

Additional Benefits:

Perks

IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.

Competitive salary.
Hybrid schedule.
CalPERS retirement.
State of the art fitness center on-site.
Medical Insurance with Dental and Vision.
Life, short-term, and long-term disability options
Career advancement opportunities and professional development.
Wellness programs that promote a healthy work-life balance.
Flexible Spending Account – Health Care/Childcare
CalPERS retirement
457(b) option with a contribution match
Paid life insurance for employees
Pet care insurance

Qualifications:

Education & Experience

Minimum of eight (8) years of experience in provisioning, configuring, and developing solutions in Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, Azure Synapse and Cosmos DB.
Eight (8) years implementing software development methodologies.
Eight (8) years working with relational databases. Experience building and optimizing big data pipelines, architectures, and data sets.
Experience performing root cause analysis on internal and external data and processes. Experience using Source Control and management tools such as Azure DevOps and Gitlab/GitHub. Experience transforming requirements into Design Concepts and ERDs using Visio and similar tools.
Of the total eight, a minimum of five (5) years of hands-on experience with cloud orchestration and automation tools and CI/CD pipeline creation is required.
Bachelor’s degree in a quantitative discipline such as Computer Science, Statistics, Mathematics or Engineering from an accredited institution required.

Key Qualifications

Strong knowledge and understanding in the following areas:
- DevOps, Python or Java or Json, (HL7/ FHIR is a plus)
- Applicable data privacy practices and laws
- common SDLC models (Waterfall, Agile - Scrum and Kanban)
- Practice of DevOps
- Non-relational database (NoSQL) designs using MongoDB and others
- Relational databases like MS SQL Server
- Fluency with at least one scripting or programming language such as Python.
- Message queuing, stream processing, and highly scalable ‘big data’ data stores.

Start your journey towards a thriving future with IEHP and apply TODAY!

Work Model Location:

Hybrid Work Schedule (Monday & Friday remote, Tuesday, Wednesday, Thursday onsite required)

Pay Range: USD $118,601.60 - USD $157,144.00 /Yr.

Apply Now

Refine Your Search

data engineer jobs in richmond, ca

Data Engineer III

Analytics Data Engineer

Software Engineer, AI Data & Evaluation

Software Engineer, Data

Growth Data Engineer

Software Engineer (Big Data)

Data Engineer

Python/Data Engineer - SMA Solutions, Associate

Data Engineer

Data & BI Engineer - Odos

Founding Data Engineer

Data Engineer

Staff Software Engineer, Data Infra

Staff Data Engineer

Data Engineer

Senior Data Engineer

Data Platform Engineer

Data Engineer

Data Engineer

GCP Data Engineer

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