Search for Data Engineer roles in Irvine, CA, requiring at least 5 years of experience, with a focus on AWS and ETL, preferably in full-time positions that offer a salary of $120,000 or more.

Okay, I've searched for Data Engineer roles in Irvine, CA, that require at least 5 years of experience, with a focus on AWS and ETL, preferably full-time positions, and a salary of $120,000 or more. I found 27 positions that match your criteria.

Data Engineer

Irvine, CA

5 years + Experience

AWS

ETL

$120000+

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

Sure. Here's the analysis:

Job Analysis:

The Data Engineer role at Golden State Foods (GSF) is fundamentally about bridging the gap between data and strategic business decision-making. This position is critical as it combines technical acumen in data extraction, transformation, and loading (ETL) processes with a thorough understanding of business requirements. Responsibilities include collecting and documenting these requirements, designing optimal ETL frameworks tailored to the company’s objectives, and managing complex data environments. Success in this role hinges on clear communication skills to engage both technical teams and business stakeholders, ensuring that the flow of data supports business goals effectively. The challenge lies in interpreting intricate data sets and providing actionable insights, which requires not only technical expertise but also an ability to navigate ambiguities and identify innovative solutions within the data. Performance expectations likely revolve around the timely and accurate development of data-centric solutions that drive business intelligence initiatives, where the ability to synthesize and present findings will be key during the first 6–12 months of engagement.

Company Analysis:

Golden State Foods occupies a notable space as a diversified supplier in the foodservice industry, emphasizing innovation and a customer-first approach. In this context, the Data Engineer role becomes integral not just for operational efficiency but also for contributing to the company's ongoing commitment to innovation and community involvement. The company culture appears to prioritize collaboration, as evidenced by a strong focus on teamwork and cross-functional initiatives, which can foster a supportive environment for associates in this tech-centric role. Since the Data Engineer position involves engaging both IT and business units, visibility with leadership is anticipated, providing a platform for impact and contribution to the organizational strategy. Moreover, GSF's investment in associate development signifies a long-term vision for employee growth, which aligns well with the strategic importance of this hire in supporting business intelligence frameworks and laying the groundwork for future data initiatives.

Mock up some interview questions based on the job description.

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

Behavioral: Tell me about a time when you had to gather requirements from conflicting stakeholders. How did you approach it?
Behavioral: Describe a situation where you successfully implemented an innovative solution in a complex data environment.
Behavioral: Can you provide an example of how you've communicated complex data insights to a non-technical audience?
Behavioral: How do you manage your time and prioritize when working on multiple data projects simultaneously?
Technical: How do you approach designing an ETL process for a new data source that has different characteristics from previously used sources?
Technical: What experience do you have in using AWS services like Redshift or S3 for data solutions?
Technical: Explain your process for creating reports using data visualization tools such as Tableau or Power BI.
Technical: Describe your experience with SQL and how you have utilized it in previous projects.
Situational: Imagine you are given a legacy system's data that needs to be refined for a new analytical project. How would you proceed?
Situational: If a business user requests a report that contradicts known data trends, how would you handle the situation?
Company Fit: What motivates you to work in the foodservice industry, and how do you see your role contributing to GSF's mission?
Company Fit: How do GSF's values resonate with your personal or professional values?
Candidate Question: Can you describe the team culture here and how collaboration is encouraged among data engineers?
Candidate Question: What are the key challenges facing the Data Engineering team currently?
Candidate Question: Can you elaborate on the types of projects I might be working on in the first few months?

Job Details

Overview Company

Data Engineer

$120k/y-$140k/y

Lensa

5 days ago

Highlight

HybridFull-time5+ yearsSenior

Summary

Golden State Foods is seeking a Data Engineer to join their team in Irvine, CA. The role involves designing and managing ETL processes to support data warehousing and business intelligence initiatives.

About the Role

As a Business Intelligence Data Engineer, you will be responsible for extracting, transforming, cleaning, and moving data to support data warehousing and business intelligence solutions. You will collaborate with business units to understand data needs, design ETL processes, and ensure high availability of BI solutions. The role requires managing remote workers and involves a hybrid work model with three days in the office each week.

About You

Required:

Four-year college degree or commensurate work experience.
5+ years of experience with AWS Infrastructure including S3, Redshift, and RDS.
Expertise in MS Excel and SQL.
Strong communication and interpersonal skills.
Experience with multi-dimensional data models and predictive modeling.
Proficiency in data visualization tools like Tableau and Power BI.
Strong project management and organizational skills.

Preferred:

Advanced degree in Science and Technology related field.
Expert in ETL and/or other data manipulation languages such as Python, SAS, and R.
Industry experience as a Data Engineer or related specialty.
Experience with IoT, Machine Learning, and AI.
Experience with Dell Boomi.

Benefits

Paid time off including vacation, sick, holiday, jury duty, and bereavement.
Comprehensive benefits package including medical, dental, vision, 401(k), and disability insurance.
Employee Assistance Program (EAP).
Voluntary Insurance options.
Retirement Plan.
Associate Development via Education Reimbursement and/or Scholarships.
Flexible work schedules.

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.

Irvine, CA