Senior Data Engineer, AI/ML Platforms

🕒 August 18

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 62%

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The Baldwin Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

⚖️ Legal

💰 $170M Post IPO debt on 2023-10

Consulting • Healthcare • Legal

The Baldwin Group is a national advisory firm specializing in risk management and insurance brokerage, offering comprehensive solutions for businesses and individuals. It provides commercial insurance, employee benefits, retirement consulting, private risk and wealth management services, plus specialty offerings like reinsurance and MGAs, tailoring strategies to protect assets and support growth. The firm emphasizes collaboration, market insights, and customized plans for companies across industries as well as high-net-worth individuals.

📋 Description

• Collaborate with data architects, analysts, and stakeholders to identify and document requirements for data pipelines and process automation • Design, build, document, test, and maintain data pipelines using industry best practices • Perform ETL and ELT operations in accordance with enterprise data governance and security standards • Develop data quality and governance processes to ensure data accuracy and quality through inspection, validation, processing, and anomaly detection • Design and manage data systems, pipelines, and management tools • Oversee junior data engineers • Recommend and deploy data models • Lead projects involving data collection and storage systems • Build and maintain critical pipelines processing large volumes of data from internal and external sources across different platforms

🎯 Requirements

• 5–7 years of relevant experience required • BA/BS in a relevant discipline required • Vast experience with multiple development methodologies • Experience building large, complicated data pipelines across different platforms, data sources, and data structures • Experience working with relational databases such as SQL Server and Oracle, and SQL scripting • Experience with cloud platforms such as AWS, Azure, and GCP, including ETL tools and techniques for sourcing, maintaining, and updating data, data warehousing, data cleansing, and transformation • Programming experience in Python, Spark, and similar languages • Advanced programming knowledge and experience with large-scale processing engines • Deeper understanding of database security and compliance tools • Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) • Understanding of agile data engineering concepts and processes • Ability to document business processes and requirements and create functional requirements • Ability to translate business needs into technical solutions • Ability to provide guidance, mentoring, and training for peers

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