Jobs
Benefits & Perks
•Healthcare
•401(k)
•Parental Leave
•Mental Health
•Pet Insurance
•Learning Budget
•Healthcare
•401k
•Parental Leave
•Mental Health
•Pet Insurance
•Learning
Required Skills
Python
PySpark
SQL
ETL/ELT
Data modeling
AWS
Apache Airflow
Pub/Sub
Event-driven architecture
CI/CD
Code review
Problem-solving
Mentorship
Senior Data Engineer
About the Role
The Washington Post is on a mission to deliver riveting storytelling for all of America. We're seeking a skilled and experienced Senior Data Engineer for our Data and AI team to contribute to the development of innovative AI-powered projects. As a key member of our team, you will be responsible for designing, building, and deploying data solutions that power cutting-edge AI technologies, including Generative AI, personalization, and recommendation systems, as well as revenue science applications. Your work will also support advertising insights generation and campaign infrastructure.
This role involves gathering requirements, writing code, testing, deploying, and maintaining software using best practices in development. The engineer will work collaboratively on large-scale projects, contribute to the creation of new features, products, and tools, and mentor junior developers.
Why This Role Matters
We are powered by the passion and talent of our people. It takes all of us to reinvent news. Beyond our award-winning Newsroom and Opinions teams, we work across many departments, including Brand & Events, Communications, Customer Care, Engineering & Product, Finance, Human Resources, Legal, Marketing & Advertising, Print Operations, and Sales.
What Motivates You
You are passionate about solving complex technical challenges and driving impactful projects that shape the user experience for a news media platform. You'll thrive in our team if you're a natural problem-solver, a strong communicator, and a proactive and curious individual who is always looking to learn and grow. You'll be motivated by the opportunity to tackle complex technical challenges, lead and influence a team, and collaborate with cross-functional teams to drive user-focused solutions. You'll also have the freedom to explore emerging technologies and trends, and to identify new opportunities for growth and innovation. You're passionate about delivering high-quality solutions that meet the needs of our users.
How You'll Support the Mission
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Technical Leadership: Lead data engineering efforts using Python, Spark, Flink and other data processing technologies, delivering scalable, secure, and reliable data pipelines, and contribute to the architecture and decision-making processes of large, complex projects.
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Project Planning and Execution: Collaborate on gathering and analyzing project requirements to define technical solutions, and work with cross-functional teams to integrate front-end and back-end solutions, ensuring seamless user experiences.
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Software Development: Write clear, maintainable code, following best practices in version control, code reviews, and testing, and ensure that all software solutions are scalable, secure, and meet the needs of our users.
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Collaboration and Communication: Collaborate with cross-functional teams, including data scientists, product managers, and designers, to identify and prioritize project requirements, and communicate technical solutions to stakeholders.
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Mentorship and Coaching: Mentor and coach junior engineers, offering technical guidance and reviewing code to ensure quality, and contribute to the growth and development of our engineering team.
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Project Management: Collaborate with Product, Design, Newsroom and business stakeholders to manage and optimize project timelines, proactively identifying blockers and risks to ensure timely delivery.
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Technical Expertise: Stay current with industry trends, suggesting improvements to enhance performance, security, and scalability, and apply knowledge of data engineering to drive innovation and improvement in our products and services.
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Documentation and Knowledge Sharing: Contribute to the development of technical documentation and design specifications for team members and share knowledge and expertise with the team to promote a culture of innovation and collaboration.
The Skills and Experience You Bring
Education and Experience
- Bachelor's degree in Computer Science, Software Engineering, or a related field is acceptable, but a Master's degree is preferred. Equivalent professional experience will also be considered.
- 3+ years of overall experience in ETL/ELT, Data modeling, and querying and analyzing large datasets using SQL.
Technical Skills
- Extensive experience with ETL development using Python and Py Spark.
- Experience with AWS Data Lakehouse technologies including Redshift, Athena, EMR, and Glue catalog.
- Strong understanding of Pub/Sub and event-driven architecture.
- Able to design and deploy DAGs using Apache Airflow.
- Experience with Apache Iceberg, Postgres, MySQL, DynamoDB, Tableau, and Superset also highly preferred.
- Experience working with Google Ad Manager data and Ad Tech vendors is a plus.
Cloud Infrastructure
- Strong proficiency with cloud infrastructure, including experience with AWS services (e.g., EC2, S3, RDS, Lambda, Batch) for building and deploying scalable, reliable, cloud-based applications.
- Strong skills with Docker and ECS are highly preferred.
Software Development
- Experience with software development best practices, including coding standards, code reviews, testing, and CI/CD pipelines.
Performance Monitoring
- Experience with performance monitoring and observability tools (e.g., Splunk, Datadog) for maintaining application health and performance.
Leadership and Communication
- Proven ability to mentor junior engineers, influence team-wide practices, and communicate technical concepts to both technical and non-technical stakeholders.
Problem-Solving
- Excellent problem-solving skills, with the ability to troubleshoot and debug issues across the stack.
Autonomy and Decision-Making
- Ability to handle complex projects with limited supervision and manage technical decision-making.
Work Environment
Collaboration makes us stronger. That's why our offices are designed with open layouts, modern technology, and easy access to transportation. With certain exceptions for newsgathering and business travel, we work on-site five days a week.
Compensation and Benefits
Wherever you are in your life or career, The Washington Post offers comprehensive and inclusive benefits for every step of your journey:
- Competitive medical, dental and vision coverage
- Company-paid pension and 401(k) match
- Three weeks of vacation and up to three weeks of paid sick leave
- Nine paid holidays and two personal days
- 20 weeks paid parental leave for any new parent
- Robust mental health resources
- Backup care and caregiver concierge services
- Gender affirming services
- Pet insurance
- Free Post digital subscription
- Leadership and career development programs
Benefits may vary based on the job, full-time or part-time schedule, location, and collectively bargained status.
Salary Range: $119,700 - $199,300 Annual
The actual salary within this range will depend on individual skills, experience, and qualifications as they relate to specific job requirements. This position may be eligible for a bonus or incentive program, and a member of the Talent Acquisition team will discuss bonus payment terms and conditions during the interview process.
Join Us
Your story awaits. Apply today! Learn more about The Post at careers.washingtonpost.com.
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About Washington Post

Washington Post
PublicA news publishing company that provides insights on topics such as politics, lifestyle, climate, technology, and more.
1,001-5,000
Employees
Washington
Headquarters
Reviews
3.6
1 reviews
Work Life Balance
3.0
Compensation
3.0
Culture
2.5
Career
2.5
Management
2.0
25%
Recommend to a Friend
Pros
Has initial screening process in place
Cons
Delayed decision timeline
Poor communication during interview process
Long wait times without feedback
Salary Ranges
386 data points
Junior/L3
Senior/L5
Junior/L3 · Designer
23 reports
$74,462
total / year
Base
$70,030
Stock
-
Bonus
$4,432
$45,518
$122,300
Interview Experience
2 interviews
Difficulty
3.5
/ 5
Duration
14-28 weeks
Offer Rate
50%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Take-home Project/Assessment
4
Technical Interview
5
Team Matching
6
Offer
Common Questions
Data Analysis/SQL
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
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