Data Engineering Manager Job at KDR Talent Solutions USA, Austin, TX

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  • KDR Talent Solutions USA
  • Austin, TX

Job Description

Data Engineering Manager - $230k to $280k + Benefits - Hybrid (Austin TX) - Consultancy

About the Role:

We are seeking a highly skilled and motivated Data Engineering Manager to lead our clients data engineering team. In this role, you will be responsible for architecting and building scalable data infrastructure, managing a team of data engineers, and ensuring the delivery of high-quality data solutions that support data-driven decision-making across the organization.

Key Responsibilities:

  • Team Leadership & Management:
  • Hire, mentor, and lead a team of data engineers.
  • Foster a collaborative, high-performance team culture.
  • Conduct regular 1:1s, performance reviews, and career development sessions.
  • Technical Leadership:
  • Design, develop, and maintain robust and scalable data pipelines and ETL processes.
  • Oversee data architecture decisions, ensuring scalability, reliability, and performance.
  • Implement best practices for data modelling, data quality, and metadata management.
  • Collaboration & Strategy:
  • Work cross-functionally with data scientists, analysts, product managers, and other engineering teams.
  • Align data engineering efforts with broader business goals and data strategy.
  • Prioritize projects and allocate resources effectively.
  • Operations & Governance:
  • Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, HIPAA).
  • Monitor and optimize data infrastructure performance and costs.
  • Establish and enforce data engineering standards and documentation practices.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 6+ years of experience in data engineering or software engineering roles.
  • 2+ years in a technical leadership or management position.
  • Strong experience with cloud data platforms (e.g., AWS, GCP, Azure).
  • Proficiency in SQL, Python, and data pipeline tools (e.g., Apache Airflow, dbt, Spark).
  • Familiarity with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift).

Preferred Qualifications:

  • Experience managing remote or distributed teams.
  • Knowledge of modern data stack tools and concepts.
  • Background in agile development and CI/CD for data workflows.
  • Understanding of ML pipelines and data science workflows is a plus.

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