Data Engineer

Meta; Sacramento (CA); Remote; USD 177,000 - 197,000; Full time

Job summary

A leading technology company in Sacramento is looking for a Data Engineer to design and develop data solutions that drive business insights. The ideal candidate will have a Master’s degree and at least 3 years of experience in data engineering. Responsibilities include designing data pipelines, analyzing user needs, and collaborating with engineering teams to support data-driven decisions. Competitive compensation is offered at $177,406 to $196,900 per year, plus bonuses and equity.

Benefits

Bonus

Equity

Health benefits

Qualifications

• 3 years of experience in data engineering or related field.
• Experience in analyzing large volumes of data.
• Knowledge of data warehousing architecture.

Responsibilities

• Design and launch data pipelines for insights.
• Analyze user needs and provide support.
• Develop software and data solutions for decision making.

Skills

Data Engineering

Data analysis

ETL processes

Data modeling

Schema design

HTML

Education

Master’s degree in Computer Science, Engineering, or related field

Tools

ETL tools

Job description

Summary:

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

Required Skills:

Data Engineer Responsibilities:

1. Design, build, and launch data pipelines to move data across systems and build the next generation of data tools that generate business insights for a product.

2. Analyze user needs and software requirements to determine workability and to offer support for end users on data usage.

3. Design, architect, and develop software and data solutions that help product and business teams make data-driven decisions.

4. Rethink and influence strategy and roadmap for building efficient data solutions and scalable data warehouse plans.

5. Design, develop, test and launch new data models and processes into production, and provide support.

6. Leverage homegrown extract, transform, and load (ETL) framework as well as off-the-shelf ETL tools, as appropriate.

7. Interface closely with data infrastructure, product, and engineering teams to build and extend cross platform ETL and reports generation framework.

8. Identify data infrastructure issues and drive to resolution.

9. Telecommute from anywhere in the US permitted.

Minimum Qualifications:

Minimum Qualifications:

1. Requires Master’s degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, or a related field and 3 years of experience in the job offered or in a related occupation.

2. Requires 36 months of experience in the following:

3. 1. Internet technologies including HTML
4. 1. Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies
5. 1. Data warehousing architecture and plans
6. 1. Dimensional data modeling
7. 1. Schema Design

Public Compensation:

$177,406/year to $196,900/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].