Senior Data Engineer
Company: Fusemachines
Location: New York City
Posted on: February 15, 2026
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Job Description:
Job Description Job Description About Fusemachines Founded in
2013, Fusemachines is a global provider of enterprise AI products
and services, on a mission to democratize AI. Leveraging
proprietary AI Studio and AI Engines, the company helps drive the
clients’ AI Enterprise Transformation, regardless of where they are
in their Digital AI journeys. With offices in North America, Asia,
and Latin America, Fusemachines provides a suite of enterprise AI
offerings and specialty services that allow organizations of any
size to implement and scale AI. Fusemachines serves companies in
industries such as retail, manufacturing, and government.
Fusemachines continues to actively pursue the mission of
democratizing AI for the masses by providing high-quality AI
education in underserved communities and helping organizations
achieve their full potential with AI. Senior Data Engineer Are you
an experienced Data Engineering professional with a passion for
building scalable, reliable, and high-performance data systems? Do
you have hands-on experience designing and optimizing end-to-end
real-time and batch pipelines, and developing cloud-native data
architectures using modern technologies such as AWS, GCP, Azure,
Databricks, and Snowflake? We are looking for a Senior Data
Engineer to architect, design, and implement scalable,
high-performance data solutions. The ideal candidate will be an
expert in at least one major cloud data ecosystem (AWS, Azure, GCP,
Snowflake, or Databricks) and possess a deep understanding of the
end-to-end data lifecycle, from ingestion to business intelligence.
Qualification & Skill Set Requirements Core Technical Competencies
Experience: 5 years of hands-on data engineering experience in a
production environment. Languages: Strong proficiency in Python,
SQL (complex queries, performance tuning), and PySpark/Apache
Spark. Data Modeling: Expert knowledge of data modeling (3NF, Star,
Snowflake Schema) and Lakehouse/Warehouse architectures. ETL/ELT &
Orchestration: Proven experience building pipelines using tools
like dbt, Airflow, Dagster, or native cloud orchestrators (Glue,
Data Factory, Composer). Integrations: Experienced in integrating
data from diverse sources: APIs, RDBMS/NoSQL databases, flat files,
and streaming platforms (Kafka, Kinesis, Pub/Sub). Cloud Platform
Expertise (Specialization-Specific) Candidates should demonstrate
deep expertise in anyone of the following: Snowflake: SnowSQL,
Streams, Tasks, Snowpark, and cost optimization. Databricks: Delta
Lake, Unity Catalog, Delta Live Tables (DLT), and Spark
optimization. GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud
Functions. Azure: Synapse Analytics, Data Factory, Azure
Databricks, and Stream Analytics. AWS: Redshift, S3, Lake
Formation, Glue, and Lambda. Professional Practices SDLC & DevOps:
Proficient in Git workflows, CI/CD pipelines (GitHub Actions, Azure
DevOps, AWS CodePipeline), and IaC (Terraform/CloudFormation). Data
Governance: Strong understanding of data quality, lineage,
observability, security (RBAC, encryption), and compliance
frameworks. Agile: Active experience in Agile/Scrum environments
using Jira or Azure Boards. Mentorship: Ability to lead projects
and provide technical guidance to junior/mid-level engineers.
Responsibilities Architecture: Architect, design, and implement
scalable, reliable data solutions and pipelines aligned with
business analytics needs. Optimization: Manage and fine-tune cloud
resources and workloads for maximum performance, reliability, and
cost-efficiency. Data Transformation: Lead the development of
ETL/ELT processes for both batch and real-time data processing.
Collaboration: Partner with Product, Engineering, and Data Science
teams to deliver effective, data-driven solutions. Governance &
Quality: Promote and enforce best practices in data governance,
security, and data quality frameworks. Mentorship: Provide
technical leadership and mentorship to the team, ensuring
architecture quality and best practices. Documentation: Maintain
comprehensive documentation of data architectures, configurations,
and workflows. Fusemachines is an Equal Opportunities Employer,
committed to diversity and inclusion. All qualified applicants will
receive consideration for employment without regard to race, color,
religion, sex, sexual orientation, gender identity, national
origin, disability, or any other characteristic protected by
applicable federal, state, or local laws. Important: Immigration
Sponsorship Policy Fusemachines is unable to proceed with
candidates who require any form of work authorization or
immigration support from the company. This restriction applies to
all types of support, including: Direct Company Sponsorship: Such
as H-1B, J-1, or TN visas. Employer of Record: Listing Fusemachines
as the immigration employer on any government documentation.
Written Documentation: Providing letters or other support for any
work authorization (e.g., OPT, STEM OPT, CPT). Powered by JazzHR
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Keywords: Fusemachines, New Rochelle , Senior Data Engineer, IT / Software / Systems , New York City, New York
