Associate Data Solutions Architect Company: The Boeing Company The Boeing Company is currently ... ML) workloads * Build and maintain batch and streaming data workflows using orchestration tools ...
Associate Data Solutions Architect Company: The Boeing Company The Boeing Company is currently ... ML) workloads * Build and maintain batch and streaming data workflows using orchestration tools ...
Associate Data Solutions Architect Company: The Boeing Company The Boeing Company is currently ... ML) workloads * Build and maintain batch and streaming data workflows using orchestration tools ...
Associate Data Solutions Architect Company: The Boeing Company The Boeing Company is currently ... ML) workloads * Build and maintain batch and streaming data workflows using orchestration tools ...
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Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
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Ml Data Associate information
See Bothell, WA salary details
$67.3K is the 25th percentile. Wages below this are outliers.
$65.4K - $72.8K
95% of jobs
$72.8K - $80.1K
1% of jobs
$80.1K - $87.5K
0% of jobs
$87.5K - $94.9K
1% of jobs
$94.9K - $102.3K
2% of jobs
$102.3K - $109.7K
1% of jobs
$109.7K - $117.1K
0% of jobs
$117.1K - $124.5K
0% of jobs
$124.5K - $131.9K
0% of jobs
$131.9K - $139.3K
0% of jobs
$139.3K - $146.6K
0% of jobs
$65.4K
$77.3K
$146.6K
How much do ml data associate jobs pay per year?
What are the key skills and qualifications needed to thrive as an ML Data Associate, and why are they important?
What are ML Data Associates?
What is the difference between Ml Data Associate vs Data Analyst?
| Aspect | ML Data Associate | Data Analyst |
|---|---|---|
| Required Credentials | Typically a degree in computer science, data science, or related field; familiarity with machine learning concepts | Usually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills |
| Work Environment | Tech companies, AI startups, or organizations focusing on machine learning projects | Business, finance, marketing, and consulting firms analyzing data for insights |
| Employer & Industry Usage | Used in industries developing AI models, machine learning pipelines, and data infrastructure | Common across industries for reporting, trend analysis, and strategic decision-making |
While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.
What are some common challenges faced by ML Data Associates when labeling complex datasets, and how can they be effectively addressed?

Full-time
Medical, Life, Retirement
Posted 20 days ago
Boeing rating
8.5
Based on 592 frontline employees who took The Breakroom Quiz
32nd of 518 rated manufacturers
Job description
Company:
The Boeing CompanyThe Boeing Company is currently seeking an Associate Data Solutions Architect to join the team in Seattle, WA; Hazelwood, MO; Berkeley, MO; or Dallas, TX.
The Data Solutions Architect will help design, build, and operate data pipelines and workloads across on-prem and cloud platforms (Google Cloud Platform (GCP) and Amazon Web Services (AWS)). The role partners with data and Business Intelligence (BI) analysts, data scientists, product specialists, and platform engineers to enable reliable, scalable ingestion, transformation, and serving of data for analytics and Artificial Intelligence (AI) use cases in supply chain.
Position Responsibilities:
Implement, test, and maintain Extract, Transform, Load/Extract, Load Transform (ETL/ELT) pipelines to ingest data from on-prem systems and cloud sources into data lakes/warehouses
Develop data transformations and data models to support reporting, analytics, and Machine Learning (ML) workloads
Build and maintain batch and streaming data workflows using orchestration tools (Airflow, Cloud Composer, Prefect, etc.) and data integration platforms (Informatica, Talend, Fivetran, etc.)
Work with on-prem technologies (databases, file shares, middleware) and cloud services (BigQuery, Redshift, Cloud Storage, S3, Dataflow, Glue) to move and transform data
Collaborate with data owners to profile data, identify quality issues, and implement data validation and cleansing rules
Design and implement data cataloging, lineage, and basic governance controls for datasets
Monitor pipeline health, troubleshoot failures, and implement alerts and automated retries
Contribute to Continuous Integration and Continuous Delivery (CI/CD) for data pipelines and infrastructure-as-code patterns (Terraform, Cloud Deployment Manager, etc.)
Produce clear technical documentation and runbooks for operational support and handoffs
Support production handover, incident response, and post-incident retrospectives
BasicQualifications (Required Skills/Experience):
1+ years of experience building data pipelines, ETL/ELT processes, and/or data engineering tasks
1+ years of experience with SQL
Experience designing queries and data models for analytics
Experience with scripting languages (Python or R programming) for data processing and automation
Experience with orchestration tools (Airflow, Prefect, Cloud Composer)
Experience with relational databases (Oracle, SQL Server, Postgres)
Experience with cloud data service (BigQuery, Redshift, Snowflake, and/or equivalent)
Experience with data quality, basic data governance, and logging/monitoring concepts
Preferred Qualifications (Desired Skills/Experience):
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field and/or equivalent experience
3+ years of experience with data engineering across on-prem and cloud environments
Experience with troubleshooting skills with a collaborative mindset
Experience with good written and verbal communication skills
Experience with cloud platforms GCP and/or AWS (BigQuery, Cloud Storage, Dataflow, Pub/Sub, DataProc, S3, Redshift, Glue, Lambda)
Experience building streaming and/or near-real-time pipelines (Kafka, Pub/Sub, Kinesis, Spark Streaming)
Experience building ETL data pipelines (Informatica, Talend, Fivetran, etc.)
Experience with infrastructure-as-code tooling (Terraform, CloudFormation) and CI/CD practices for data workflows
Experience implementing data cataloging/lineage tools (Data Catalog, Amundsen, Collibra, Alation) and data quality frameworks (Great Expectations, AWS Glue Data Quality)
Experience with containerization (Docker) and deploying microservices and/or data jobs on Kubernetes
Experience tuning for SQL and data processing jobs for cost-optimization on cloud platforms
Experience working in supply chain, manufacturing, and/or within aerospace environments
Drug Free Workplace:
Boeingis a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Pay & Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range: $95,200 - $138,000
Language Requirements:
Not ApplicableEducation:
Not ApplicableRelocation:
This position offers relocation based on candidate eligibility.Export Control Requirement:
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.Safety Sensitive:
This is not a Safety Sensitive 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 awardShift:
Shift 1 (United States of America)Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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