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Senior Data EngineerGrey Parrot Systems LLC • Naperville, Illinois, United States
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Senior Data Engineer

Grey Parrot Systems LLC
  • US
    Naperville, Illinois, United States
  • US
    Naperville, Illinois, United States
Jetzt Bewerben

Über

AI-first. Governance-driven. Results you can trust. Grey Parrot Systems (GPARROT) helps growth-minded enterprises modernize, innovate, and scale safely with AI. Proudly serving Chicago, Detroit, and the broader Midwest, we are a women-owned, BEP and WBENC-certified IT services firm combining 50+ years of CIO/CTO leadership experience with AI-native engineering talent — delivering solutions that work on time, on budget, and at mid‑market-friendly costs. We turn complex IT challenges into measurable business impact:
AI-governed legacy modernization that reduces risk and accelerates migration
RAPID prototyping that turns ideas into working solutions in days
AI-powered test automation that self-heals and speeds releases
Modern, secure data platforms with governance, lineage, and observability
Intelligent workflows and agents that automate repetitive tasks
Global IT staffing and talent augmentation mentored by seasoned executives
With 100+ experts, 24/7 delivery, and 95% client retention, we ensure your technology drives growth.
About the Role We are looking for a hands‑on Senior Data Engineer with proven experience designing and scaling modern data platforms, real‑time and incremental ETL pipelines, and production‑grade machine learning solutions. You have worked with datasets ranging from millions to billions of records and know how to build systems that scale without breaking. This role sits at the intersection of data engineering, analytics engineering, MLOps, and applied machine learning — building scalable, production‑ready systems that deliver real business value for our clients.
Responsibilities
Design and build end‑to‑end data warehouse architectures and customer analytics pipelines
Develop real‑time and incremental ETL pipelines using dlt, dbt, and Airflow
Build and maintain scalable data platforms on MotherDuck/DuckDB and cloud infrastructure
Develop churn prediction models using XGBoost and survival analysis techniques
Build and operationalize ML models with a focus on production-readiness and MLOps best practices
Integrate data across enterprise platforms including Braze, Acoustic, MySQL, and Firebird
Partner with analytics and product teams to deliver reliable, well‑documented data products
Languages: Python, SQL
Orchestration: Airflow
Databases: MotherDuck, DuckDB, MySQL, Firebird
ML & Analytics: XGBoost, survival analysis, churn modeling
Integrations: Braze, Acoustic
Qualifications
4+ years of experience in data engineering or a closely related field
Proficiency in Python and SQL — you write clean, testable, production‑grade code
Hands‑on experience with dbt, dlt, and Airflow in production environments
Experience with DuckDB / MotherDuck or similar analytical query engines
Familiarity with MLOps practices and deploying ML models to production
Experience integrating with CRM and marketing platforms (Braze, Acoustic, or similar)
Required Skills
Strong background in data engineering, analytics engineering, MLOps, and applied machine learning
Experience handling datasets at scale — millions to billions of records
Proven ability to build end‑to‑end data warehouse architectures from scratch
Hands‑on experience with enterprise integrations across modern and legacy platforms
Deep understanding of real‑time and incremental ETL patterns
Focus on scalable, production‑ready systems with clean, maintainable code
Strong communication skills and ability to collaborate across technical and non‑technical teams
Preferred Skills
Experience with advanced analytics and machine learning techniques
Knowledge of data governance and compliance standards
Pay range: 80k to 120k Grey Parrot Systems is an Equal Opportunity Employer. As a women‑owned, BEP and WBENC‑certified firm, diversity and inclusion are core to who we are. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or any other legally protected characteristic. We strongly encourage applications from candidates of all backgrounds, identities, and experiences — including those from underrepresented groups in technology and data. If you require a reasonable accommodation during the application or interview process, please contact us and we will work with you to meet your needs.
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  • Naperville, Illinois, United States

Sprachkenntnisse

  • English
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