Search for Data Engineer roles in Bellevue, WA, specializing in Product Analytics, requiring 7+ years of experience, with a focus on SQL and ETL skills, and a salary expectation of $173,000 or more.

Okay, I've searched for Data Engineer roles in Bellevue, WA, specializing in Product Analytics, requiring 7+ years of experience, focusing on SQL and ETL skills, and with a salary expectation of at least $173,000. I have found 45 positions for you.

Data Engineer

Bellevue, WA

7 years + Experience

SQL

ETL

$173000+

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The primary objective of the Data Engineer, Product Analytics role at Meta involves designing and building expansive data architectures that support a variety of high-impact projects across the company's numerous applications. The candidate is expected to conceptualize innovative solutions that not only optimize data quality and security but also enhance product development by leveraging insights derived from comprehensive data analysis. In this context, responsibilities such as collaborating with cross-functional teams, mentoring peers, and influencing decision-making through data-driven storytelling are crucial. This requires not just technical prowess, but also strong interpersonal skills and the ability to navigate the fast-paced, complex environment inherent in a global tech giant like Meta. Challenges could range from resolving unpredictable data integration problems to ensuring that the data infrastructure remains agile in the face of changing business needs. Success in this role will look like the effective management of data projects that directly enhance user experiences and business outcomes, alongside the establishment of a reliable governance model for data management.

Company Analysis:

Meta operates in the competitive landscape of the Internet industry, primarily regarded as a leader in social connectivity and digital communication. As a company that prioritizes innovation and cutting-edge technology, its culture likely fosters rapid experimentation and agility, valuing professionals who can contribute to the continuous evolution of its suite of products. The company’s mission to connect people globally indicates a strong focus on user experience and community engagement, which will profoundly impact how the data engineer's insights are leveraged within product teams. The role fits into a larger organizational framework of collaborative innovation, where visibility is likely high given the strategic importance of data in informing product development. Thus, this position is not merely a technical role; it is pivotal in driving Meta's overarching goals of growth and enrichment of user engagement. The expectation of a candidate who embodies curiosity and promotes strategic thinking aligns perfectly with Meta's aspirations of harnessing data for transformative outcomes.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to troubleshoot a complex data integration problem. What steps did you take, and what was the outcome?
Describe a project where your data architecture significantly influenced product development. How did you measure its success?
Can you provide an example of how you have used data to tell a compelling story to stakeholders? What was the result?
How do you ensure data quality and security in your projects? Can you share a specific example where you faced a challenge in this area?
What are your strategies for optimizing ETL processes? Could you give an example from your previous work?
How do you approach visualizing complex data sets to make them understandable for non-technical audiences?
Imagine you are faced with a bottleneck in a data pipeline that’s affecting the performance of a product. How would you handle this situation?
Suppose you have conflicting priorities from different product teams regarding data needs. How would you navigate this situation?
Why are you interested in working at Meta, and how do you see your skills contributing to our mission?
Can you explain how a previous role prepared you for the challenges involved in this Data Engineer position at Meta?
What aspects of our company's culture resonate with you, and how do you see yourself fitting into our team?
What questions do you have about Meta's approach to leveraging data for product innovations?
Can you elaborate on your experience with different programming languages and how they will serve you in this role?
What do you believe the biggest challenges facing data engineers at Meta are, and how would you address them?

Job Details

Overview Company

Senior Data Engineer

$173k/y-$242k/y

Lensa

23 days ago

Highlight

OnsiteFull-time7+ yearsSenior

Summary

Meta is seeking a Data Engineer, Product Analytics to join their team in Bellevue, WA. The role involves shaping the future of Meta's products by designing and building extensive data sets to enhance user and business experiences.

About the Role

As a Data Engineer at Meta, you will collaborate with software engineering, data science, and product management teams to design and build scalable data solutions. You will guide teams in building optimal data artifacts, refine systems, design logging solutions, and create scalable data models. Your role includes ensuring data security and quality, suggesting architecture and development approaches, and using data to shape product development and identify new opportunities. You will also communicate data-driven stories to influence partners and build credibility.

About You

Required:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent.
7+ years of experience working with data in roles such as data analyst, data scientist, or data engineer.
7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala).

Preferred:

Master's or Ph.D degree in a STEM field.

Benefits

$173k–$242k/year + bonus + equity + benefits

Lensa

What if we could take the search out of job search? This is the question Lensa has been answering since launching in San Francisco, California in August 2016. Using machine learning, we instantly provide companies with candidates and match professionals with positions that fit their skills, goals, personalities, and needs. How does it work? Lensa applies complex algorithms that identify the skills needed to succeed on a given job. Candidates can play computer games that assess their work style, thus gaining insight into their strengths while unlocking career opportunities. The result: job search that puts people first while reducing the time and cost of talent acquisition.

Lensa passed 10 million job seeker registrations in 2019, making the com- pany one of the premier career platforms.

With teams in multiple U.S. locations and a 60-strong crew of developers and data scientists at its R & D headquarters in Europe, Lensa is working every day to share its transformative career technology with the world.

Bellevue, WA