Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🐊 Florida, Maine, +8 more states – Remote

🐊 Florida – Remote 🦞 Maine – Remote 🗻 New Hampshire – Remote 🍂 Massachusetts – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🤠 Texas – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote

💵 $115k - $146k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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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MMG

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2009

🎯 Recruiter

🏗️ Construction

🏥 Healthcare

Recruitment • Construction • Healthcare

MMG is a recruiting and executive search firm (branded in the footer as Mountain Management Group) that specializes in placing mid- to senior-level talent across Construction, Healthcare, and Environmental sectors. The firm emphasizes a tailored, client-specific search process, leveraging a national network to fill Manager, Director and Executive-level roles. MMG operates both retained and contingent searches and highlights successful placements such as Nurse Manager, Director, Vice President, CNO and COO for healthcare organizations, as well as construction hires in multifamily construction and environmental roles from field staff to corporate management.

📋 Description

• Design, build, and maintain scalable, reliable data pipelines and ETL/ELT processes • Develop data engineering solutions using Python, SQL, and Databricks • Build and optimize pipelines within the Databricks Lakehouse • Work with complex datasets from enterprise applications, databases, APIs, and other platforms • Extract, integrate, and modernize data flows from legacy IBMi/AS400 systems • Contribute to Databricks implementation and data conversion readiness, including mapping, migration, and integration • Design and implement change data capture patterns for real-time and incremental integration • Develop data models and curate datasets for analytics, reporting, and downstream applications • Implement data quality, validation, monitoring, and error handling • Optimize pipelines and queries for performance, scalability, reliability, and cost • Partner with architects, analysts, data scientists, application teams, and business stakeholders • Prepare and structure data for AI/ML pilots, including Azure AI Foundry initiatives • Help evolve modern data architecture and engineering practices • Establish standards for code quality, testing, documentation, version control, and deployment • Troubleshoot complex data and pipeline issues • Contribute to CI/CD and automated deployment practices • Mentor engineers and grow MMG's data engineering capabilities

🎯 Requirements

• Residing in Maine, Massachusetts, Georgia, Pennsylvania, New Hampshire, Virginia, Vermont, South Carolina, Florida, Texas, or Missouri • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience • 5+ years of professional experience in data engineering, software engineering, or a related technical discipline • Experience establishing version control, testing, review, and deployment automation for data • Strong professional experience with Python and production-quality code • Strong experience with Databricks • Strong SQL skills and experience with relational and/or analytical databases • Experience designing and implementing ETL/ELT pipelines and data integration solutions • Experience with cloud-based data platforms and modern data architectures; Azure preferred • Understanding of data modeling, data warehousing, and data lake/lakehouse concepts, including medallion/multi-hop architectures • Experience with Git and modern software development practices • Experience with automated testing, deployment, and CI/CD practices • Strong analytical and problem-solving skills • Ability to communicate effectively with technical and non-technical stakeholders • Preferred: insurance or financial services industry experience • Preferred: legacy-system integration, particularly IBMi/AS400 • Preferred: Azure AI Foundry or similar AI/ML tooling • Preferred: Apache Spark/PySpark • Preferred: Databricks SQL and Delta Lake • Preferred: Azure Data Factory, Airflow, or similar orchestration tools • Preferred: APIs and event-driven or real-time data integration • Preferred: change data capture (CDC) patterns • Preferred: insurance policy administration platform data or large-scale platform conversions • Preferred: data governance, metadata, lineage, and data quality frameworks • Preferred: enterprise data warehouses and dimensional modeling • Preferred: Infrastructure as Code and cloud automation • Preferred: AI-assisted development tools

🏖️ Benefits

• Remote work arrangement • Occasional travel to client or company locations • Reasonable accommodations for individuals with disabilities • Participation in virtual and in-person meetings