Senior Data Engineer – MSI

🔥 2 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 according to 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 • Maintain critical data pipelines handling large data volumes from internal and external sources across different platforms

🎯 Requirements

• 5–7 years of relevant experience required • BA/BS in a relevant discipline required • 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 Power BI • Experience with cloud platforms such as AWS, Azure, or GCP and their ETL tools and techniques • Experience with data warehousing, data cleansing, and data 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 • Strong interpersonal and communication skills

🏖️ Benefits

• Remote work arrangement • Travel to a nearby office for onboarding, training, and team collaboration as needed • Professional onboarding and training