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Data Engineer Facebook Jobs (NOW HIRING)

Senior Data Engineer

Manhattan, NY ยท On-site

$116.90K - $158.70K/yr

About the Role We are looking for a Senior Data Engineer to join our Data Automation team. You will ... YouTube | LinkedIn | X (Twitter) | Facebook #J-18808-Ljbffr

Senior Data Engineer

$160K - $195K/yr

About the Role We are looking for a Senior Data Engineer to join our Data Automation team. You will ... YouTube | LinkedIn | X (Twitter) | Facebook

On the Data Engineering Team, our mission is to support these products both internally and ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

Sr. Big Data Engineer

Manhattan, NY ยท On-site

$61.50 - $81.25/hr

As a Sr. Big Data Engineer in our Professional Services team, you will work with clients on short ... To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we ...

Associate Data Engineer

Frisco, TX ยท On-site

$85.91K - $162.89K/yr

Visit bakertilly.com or join the conversation on LinkedIn, Facebook and Instagram. Please discuss ... Data Engineering: Develop scalable, well-documented ETL/ELT pipelines using T-SQL, Python, Azure ...

Associate Data Engineer

Frisco, TX ยท On-site

$85.91K - $162.89K/yr

Visit bakertilly.com or join the conversation on LinkedIn, Facebook and Instagram. Please discuss ... Data Engineering: Develop scalable, well-documented ETL/ELT pipelines using T-SQL, Python, Azure ...

Sr Data Engineer - Fort Worth, TX

Fort Worth, TX ยท On-site

$109.60K - $131.60K/yr

Back Sr Data Engineer #2912 Fort Worth, Texas, United States Apply X Facebook LinkedIn Email Copy Description Position Summary The Senior Data Engineer designs, builds, and maintains the scalable ...

Data Engineering Engineer

Dearborn, MI ยท On-site

$105.20K - $126.30K/yr

Engineer 2 Exp: 4+ years Data Engineering work experience Education Required: * Bachelor's Degree ... You can become a fan of FastTek on Facebook: AI & Hiring Disclosure We use AI tools to support ...

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Data Engineer Facebook information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer facebook jobs pay per year?

As of Jun 4, 2026, the average yearly pay for data engineer facebook in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Engineer at Facebook, and why are they important?

To thrive as a Data Engineer at Facebook, you need strong programming skills (especially in Python, Java, or Scala), expertise in data modeling, and a solid background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Hive, and experience with SQL and ETL tools are typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate across teams and deliver scalable solutions. These competencies are crucial for managing Facebook's massive data infrastructure, ensuring data quality, and enabling impactful data-driven decisions.

How do Data Engineers at Facebook typically collaborate with Data Scientists and Software Engineers to build scalable data solutions?

At Facebook, Data Engineers work closely with Data Scientists to understand analytical needs and ensure the availability and quality of data required for modeling and insights. They also partner with Software Engineers to design and implement robust data pipelines and architectures that support both real-time and batch processing. This collaborative environment encourages frequent communication, code reviews, and joint problem-solving sessions, ensuring that data solutions are scalable, efficient, and aligned with business objectives.

What does a Data Engineer do at Facebook?

A Data Engineer at Facebook is responsible for designing, building, and maintaining the infrastructure and systems that handle large volumes of data. They work closely with data scientists, analysts, and software engineers to ensure data is accessible, reliable, and efficiently processed for analytics and machine learning applications. Their tasks include developing data pipelines, optimizing data storage solutions, and ensuring data quality, security, and compliance. Data Engineers play a key role in enabling data-driven decision-making across the organization.

What is the difference between Data Engineer Facebook vs Data Scientist Facebook?

AspectData Engineer FacebookData Scientist Facebook
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Statistics, or related fields
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models, insights
Employer & Industry UsageTech companies, social media platforms

Data Engineer Facebook focuses on developing and maintaining data infrastructure, while Data Scientist Facebook emphasizes analyzing data to generate insights. Both roles require strong technical skills, but their core responsibilities differ significantly within the Facebook environment.

More about Data Engineer Facebook jobs
Infographic showing various Data Engineer Facebook job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Data Engineer

$85.20K - $106.50K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

Are you interested in being part of an innovative team that supports Westinghouse's mission to provide clean energy solutions? At Westinghouse, we recognize that our employees are our most valuable asset and we seek to identify, attract and recruit the most qualified talent while recognizing and encouraging the value of diversity in the global workplace.

About the role:

As a data engineer you will manage the maintenance, improvement, cleaning, transforming, and movement of data related to Westinghouse's digital solutions. Aid in the implementation of database requirements and ensure database and data pipeline health. The Senior Data Engineer will also support Data Engineer leaders to maintain standards and collaborate with IT for database administration.

You will report to the Manager of Software Development and be located at our Cranberry Township, PA facility. The position is hybrid; you will be onsite 2 to 3 days per week.

Key Responsibilities:
  • Implement data schemas, stored procedures, data pipelines, and data visualization artifacts
  • Develop services for ingestion, transformation, and loading of data from several data sources and small to large datasets
  • Develop scalable data pipelines and API integrations to support increases in data volume and complexity
  • Implement processes to monitor data quality, ensuring production data is always accurate and available for partners and business processes that depend on it
  • Prepare and deliver reports to leadership on data quality and recommendations for continuous improvement
  • Implement changes to data architecture and transform data to prepare for use by the data scientists and development teams
  • Support Data Engineer leadership to create standards based on industry best practices for ETL solutions, data storage, data ingestion, and data pipelines
  • Provide reviews on code, methods, and reporting to others in the group as part of a quality assurance process
  • Provide recommendations on solutions specific to area of expertise (e.g., Power BI, NLP model development, ADF, etc.) and recognize when you should explore another solution.
Qualifications:
  • Bachelor's degree in Computer Science or Data Engineering or related degree with a background in database technologies and data engineering/analysis/reporting.
  • 5+ years data engineering/analysis/reporting experience
  • Experience with Databricks Lakehouse, Spark, Oracle, PowerBI, SQL Server, Python, ETL Solutions
  • Familiarity with other database technologies, analysis, reporting and AI tools

We are committed to transparency and equity in all of our people practices. The base salary range for this position, which is dependent upon experience, qualifications and skills, is estimated to be $85,200 to $106,500 per year.

#LI-Hybrid

Why Westinghouse?

Our benefits package is tailored to meet the diverse needs of our employees, while also promoting wellness and career growth. The following are representative of what we offer:

  • Comprehensive Medical benefits which could include medical, dental, vision, prescription coverage and Health Savings Account (HSA) with employer contributions options

  • Wellness Programs designed to support employees in maintaining their health and well-being including Employee Assistance Program providing support for our employees and their household members

  • 401(k) with Company Match Contributions to support employees' retirement

  • Paid Vacations and Company Holidays

  • Opportunities for Flexible Work Arrangements to promote work-life balance

  • Educational Reimbursement and Comprehensive Career Programs to help employees grow in their careers

  • Global Recognition and Service Programs to celebrate employee accomplishments and service

  • Employee Referral Program

Westinghouse Electric Company is the global nuclear energy industry's first choice for safe, clean, and efficient energy solutions. We enable our delivery of this vision by living our value system:

  • Safety and Quality

  • Integrity and Trust

  • Customer Focus and Innovation

  • Speed and Passion to Win

  • Teamwork and Accountability

While our Global Headquarters are located in Cranberry Township, PA, we have over 11,000 employees working at locations in 19 different countries. You can learn more by visiting http://www.westinghousenuclear.com.

Westinghouse is an Equal Opportunity Employer including Veterans and Individuals with Disabilities

Get connected with Westinghouse on social media: Twitter | Facebook | LinkedIn| YouTube