Senior Data Engineer

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October 23

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Newfire Global Partners

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B2B • Artificial Intelligence • Fintech

Newfire Global Partners is an American IT services and advisory firm (founded in 2016 in Boston) that provides talent augmentation, software engineering, data & analytics, and AI/ML advisory to enterprise and investor clients. The company offers multidisciplinary engineering, product, and marketing teams, technical due diligence for VC/PE, data platform optimization, and an internal ML tool (Novel Heat) to improve code quality and Scrum velocity. Newfire operates across the Americas, Europe, and APAC with a 24x5 follow-the-sun delivery model and focuses on sectors such as digital healthcare, fintech, cybersecurity, and education technology.

501 - 1000 employees

Founded 2016

🤝 B2B

🤖 Artificial Intelligence

💳 Fintech

📋 Description

• Design and implement robust ETL/ELT pipelines for ingesting and processing diverse data formats. • Develop dbt-based transformations to evolve data from raw to curated layers, ensuring performance, consistency, and schema compliance. • Build monitoring and alerting solutions to improve visibility into data quality, pipeline health, and operational metrics. • Optimize data workloads for scalability, cost-efficiency, and reliability. • Collaborate with cross-functional teams to validate and integrate new data sources. • Manage batch and streaming pipelines across multiple formats (e.g., CSV, JSON, HL7, FHIR). • Contribute to data architecture decisions involving schema design, data validation, and metadata management. • Ensure best practices around version control, testing, and production releases.

🎯 Requirements

• 5+ years of professional experience designing and maintaining ETL/data pipeline systems in modern cloud environments. • Strong proficiency in SQL and Python, with hands-on experience in tools such as dbt, Airflow, Dagster, or similar orchestration frameworks. • Deep familiarity with Databricks or other cloud data warehouse technologies. • Experience working with structured and semi-structured data, including healthcare-related formats (HL7, FHIR, JSON, CSV). • Working knowledge of Spark, Kafka, or similar distributed data processing systems. • Strong understanding of data modeling, data governance, and pipeline observability principles. • Ability to take ownership of production workflows, including monitoring, troubleshooting, and stakeholder communication. • Excellent communication skills and a collaborative mindset, comfortable working in a remote-first, Agile environment