Lead Data Engineer

2 days ago


Addison, United States Wheeler Staffing Partners Full time

Lead Data Engineer


Location: Addison, TX

Employment Type: Direct Hire

Work Arrangement: Hybrid

Pay: $175k + 25% bonus

Visa Status: The client cannot provide visa sponsorship or engage in corp-to-corp (C2C) arrangements.

Interview: Onsite interview required


Position Overview:

Wheeler Staffing Partners is seeking a highly skilled Lead Data Engineer for our client in Addison, TX. The ideal candidate will play a critical role in designing, building, and managing data infrastructure and pipelines to support the organization’s data initiatives. This leadership position requires a deep technical background and the ability to guide a team, ensuring scalable, efficient, and secure data solutions that align with business needs.


Key Responsibilities:


Data Architecture and Design:

  • Design and implement scalable data pipelines and infrastructure.
  • Optimize data architecture for real-time and batch processing and analytics.
  • Integrate appropriate tools and frameworks to enhance data workflows.


Data Pipeline Development and Maintenance:

  • Develop, maintain, and optimize pipelines for data ingestion, transformation, and storage.
  • Ensure data quality and reliability throughout the data lifecycle.
  • Implement monitoring tools for real-time issue detection and resolution.


Collaboration and Stakeholder Engagement:

  • Work with data scientists, analysts, and business stakeholders to provide tailored data solutions.
  • Collaborate with product managers and engineering teams to align data projects with business goals.


Team Leadership and Mentorship:

  • Lead and mentor a team of data engineers, ensuring best practices and fostering professional growth.
  • Promote a collaborative and innovative team environment.


Data Governance and Security:

  • Implement data governance policies and ensure data security.
  • Maintain compliance with data privacy regulations and industry standards.


Technology Evaluation and Innovation:

  • Stay updated on industry trends and emerging technologies.
  • Evaluate and recommend new tools to improve data infrastructure.


Requirements:


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


Experience: 8+ years in data engineering, including 2+ years in a senior or leadership role.


Technical Skills:

  • Proficiency with data lake/warehousing solutions (e.g., Snowflake, Databricks). Snowflake certification is a plus.
  • Experience with big data processing frameworks (e.g., Hadoop, Spark).
  • Expertise in cloud platforms (e.g., AWS, Azure) and data orchestration tools (e.g., Airflow, Dagster).
  • Strong SQL skills and familiarity with various database technologies (e.g., Postgres, Oracle, SQL Server).
  • Understanding of ETL processes and tools (e.g., Talend, Informatica, Fivetran).
  • Knowledge of data governance, security standards, and compliance regulations.
  • Proficiency in programming languages like Python, Java, or Scala.
  • MLOps experience and familiarity with machine learning infrastructure are preferred.
  • Experience with BI tools (e.g., Tableau, Power BI).


Soft Skills:

  • Strong leadership, communication, and interpersonal abilities.
  • Problem-solving skills, attention to detail, and a commitment to delivering high-quality results.
  • Ability to manage multiple projects in a fast-paced environment.



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