Reliability & Data Analysis Engineer

Boeing is hiring a Reliability & Data Analysis Engineer. Level rates it ; you can apply on Boeing.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
The posting mentions SQL, Tableau and Powerbi among its tools and skills.
Level classes it as a mid-level role.
Boeing has 869 other open roles on Level.
Posted in the last few days.

AI in this role

Reliability & Data Analysis Engineer building data pipelines, dashboards, and predictive models using machine learning techniques.

SQLTableauPowerbiPythonRSparkHadoopAWSAzureGoogle Cloud Platform

nlpdata-analysisetlmachine-learningdata-visualizationpredictive-modeling

Reliability & Data Analysis Engineer

Company:

Boeing Poland sp. z o.o. EFS

Boeing Poland is seeking a Reliability & Data Analysis Engineer to join their team in Rzeszow, Poland.

Position Responsibilities:

Analyze & interpret large datasets; develop and communicate clear recommendations based on data insights.
Support design and implementation of data models and ETL processes to ingest and transform structured/unstructured data.
Work with cross-functional teams to define and implement data requirements, and support data instrumentation and capture.
Participate in the definition of data governance policies to ensure data quality, consistency, and compliance.
Prepare data for analytics by cleansing, transforming, aggregating, and integrating data from multiple sources.
Develop visualizations and dashboards to communicate results and trends to stakeholders.
Develop and maintain technical documentation for data models, ETL processes, and analytics artifacts.
Support performance tuning and optimization of data pipelines and queries.
Assist in the evaluation and selection of data tools, platforms and technologies to meet business needs.
Provide hands-on support for production data issues and assist in problem resolution.
Mentor junior analysts and provide technical guidance as needed.
Engage with stakeholders to gather requirements and translate them into data-driven solutions.
Use statistical techniques and machine learning methods to derive insights and build predictive models.
Ensure adherence to security and privacy standards for data handling and processing.

Basic Qualifications:

2+ years of experience in data analytics, data science or related fields.
Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement.
Experience with SQL and relational databases.
Proficiency with data visualization tools (e.g., Tableau, PowerBI).
Experience with programming languages (Python, R, or equivalent).
Strong problem solving and analytical skills.
Ability to communicate technical information to non-technical audiences in the English language.

Preferred Qualifications:

Experience in the aerospace, defense, or aviation industries.
Experience with cloud platforms (AWS, Azure, Google Cloud Platform).
Experience with: big data technologies (Spark, Hadoop), NLP techniques and tools, version control systems (Git), DevOps and CI/CD pipelines.
Familiarity with Agile methodologies.
Strong written and verbal communication skills.
Ability to collaborate effectively in cross-functional teams.

Join us if you want to:

Market competitive salary and performance-based incentive program.
Have flexible working hours.
Enjoy additional paid days off for Christmas break (December 24th-January 1st).
Develop professional skills with our virtual learning tools and platforms.
Benefit from Learning Together Program and MyBenefit program.
Benefit from Employee Recognition Program.
Get Medical Plan (LuxMed) and life insurance (Warta S.A.) for you and your Family.
Participate in Employee Pension Scheme (PPE).
Enjoy and create with us friendly and inclusive atmosphere in workplace.
Cooperate and exchange knowledge with international team where we support and respect each other.
Cooperate and exchange knowledge with world class global engineering team.

Conflict of Interest:

Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.

Salary Range:

Please note that the information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range: PLN 204 000 - PLN 276 000

Language Requirements:

Not Applicable

Education:

Bachelor's Degree or Equivalent

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Not a Shift Worker (Poland)

How we rate this

Reliability & Data Analysis Engineer at Boeing rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Reliability & Data Analysis Engineer is an open job at Boeing.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in POL - Rzeszow, Poland.
The job was posted on November 12, 2026.
Seniority: mid.
Applications are handled by Boeing. Apply on Boeing

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPData AnalysisETLMachine learningData VisualizationPredictive ModelingSQLTableau

Questions you could be asked

What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where data visualization was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: NLP, Data Analysis, ETL, Machine learning, and Data Visualization. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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