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Sr. Data EngineerMBO Partners • New York, New York, United States
Postuler Maintenant
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Sr. Data Engineer

MBO Partners
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

MBO Partners is a deep jobs platform that connects and enables independent professionals and microbusiness owners to do business safely and effectively with enterprise organizations. Its unmatched experience and industry leadership enable it to operate on the forefront of the independent economy and consistently advance the next way of working.
Location: Remote
Anticipated Hours: 40 per week
Duration: As soon as cleared through September 2026
Security Clearance: Must be able to obtain and maintain a Public Trust
Job Description:
We’re looking for an experienced data engineer who thrives on solving applied problems with code, modern tooling, and scalable infrastructure. You’ll work with large, complex datasets, build robust ETL/ELT pipelines, and optimize data flows using technologies like Databricks, Spark, and Kafka.
In this role, you’ll grow your technical expertise, apply best practices and use tools like Spark, Kafka, EKS, and others. With your drive to establish processes and lead technological innovation, you’ll make a lasting impact on the civil market.
Join us. The world can’t wait.
You Have:
5+ years of experience designing, building, and maintaining data pipelines in production environments
3+ years of experience developing with Spark (Databricks preferred), PySpark, or similar distributed systems
3+ years of experience with data lakehouse or warehouse platforms, schema design, and query optimization
3+ years of experience processing data using streaming (Kafka, Kinesis, etc.) and batch methods
Proficiency in Python and SQL (Scala or Java a plus)
Experience implementing best practices for data quality, testing, and observability
Strong understanding of structured/unstructured data formats (Parquet, Avro, JSON, Delta)
Knowledge of data, information, and message exchange structures and standards
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Nice If You Have:
3+ years of experience in data analytics
Experience designing data flows that leverage a medallion architecture
Experience with containerization and orchestration (Docker, Kubernetes, EKS)
Experience with Kafka
Experience with Nifi
Experience using AWS
Knowledge of microservices and integrating with data services
Knowledge of database schema design
Eligibility Requirements:
Legal authorization to work in the U.S. is required.
As a contractor, including remote contractors, you may be required to complete a background check.
A contractor will be paid for the time you work; this does not include paid time off (PTO) or holidays. If you participate in our Payroll Services (W2) engagement, you may be eligible for Paid Sick Leave (PSL), depending on your work location and state-specific regulations.
Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Management, Consulting, and Information Technology
Industries
Business Consulting and Services, Professional Services, and Government Administration
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  • New York, New York, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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