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Technical Data Manager

  • Hybrid
    • Arlington, Texas, United States
  • $60 - $65 per hour
  • Information Technology

Technical Data Manager in Arlington, VA (Hybrid). Manage team, build data pipelines, implement ML systems, work with Python/Scala, Spark, Hadoop & SQL. 6–8 yrs exp.

Job description

For over half a decade, Hudson Manpower has been a trusted partner in delivering specialized talent and technology solutions across IT, Energy, and Engineering industries worldwide. We work closely with startups, mid-sized firms, and Fortune 500 clients to support their digital transformation journeys. Our teams are empowered to bring fresh ideas, shape innovative solutions, and drive meaningful impact for our clients. If you're looking to grow in an environment where your expertise is valued and your voice matters, then Hudson Manpower is the place for you. Join us and collaborate with forward thinking professionals who are passionate about building the future of work.

Job Description

  • Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it

  • Experience in building and deploying production data-driven applications and data processing workflows/pipelines and/or

  • High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Airflow, Nifi, Sqoop), SQL to build Big Data products & platforms

  • Experience building robust and efficient data pipelines end-to-end with a strong focus on data quality

  • Implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting

  • Cloud Knowledge (Databricks or AWS ecosystem) is a plus but not required

Job requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

  • Minimum 6–8 years of experience in data engineering, data management, or technical data roles.

  • Strong proficiency in Python or Scala, Spark, Hadoop, and SQL.

  • Experience with end-to-end data pipeline development and production deployment.

  • Knowledge of machine learning implementation and analytics workflows.

  • Excellent problem-solving skills, attention to detail, and ability to manage a team.

  • Effective communication skills for interfacing with technical and non-technical stakeholders.

Mandatory:

  • Authorization to work in the U.S. (USC/GC, GC EAD, or H4 EAD).

  • Ability to work onsite in Arlington, VA at least 2 days per week.

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