If you are a passionate, results-driven Lead Data Engineer with a strong track record of delivering data solutions, we would love to hear from you
Job Title: Lead Data Engineer
Location: New York, New York, United States
Salary: $107 Per hour
Position Overview: We are seeking a highly skilled and experienced Lead Data Engineer to join our dynamic team. As a Lead Data Engineer, you will play a crucial role in designing, building, and maintaining our company's data infrastructure. You will also be responsible for leading a team of data engineers and collaborating with cross-functional teams to ensure the successful implementation and delivery of data-driven solutions.
Key Responsibilities:
- Design, build, and maintain our company's data infrastructure, including data pipelines, databases, and data warehouses.
- Lead a team of data engineers to develop, test, and deploy data solutions that meet business requirements.
- Work closely with cross-functional teams, including data scientists, analysts, and product managers, to understand data needs and deliver high-quality data solutions.
- Develop and implement data governance and security policies to ensure the integrity and confidentiality of our data.
- Identify and implement new technologies and tools to improve data processing, storage, and access.
- Mentor and coach team members to enhance their technical skills and promote a culture of continuous learning.
- Collaborate with stakeholders to define data requirements and develop data models to support business needs.
- Ensure data quality and accuracy by implementing data validation processes and monitoring data pipelines.
- Act as a subject matter expert on data engineering best practices and provide technical guidance to the team.
- Participate in code reviews and ensure adherence to coding standards and best practices.
- Keep up-to-date with industry trends and advancements in data engineering and make recommendations for process improvements.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.
- Minimum of 5 years of experience in data engineering, with at least 2 years in a leadership role.
- Extensive knowledge of data engineering concepts, data structures, and algorithms.
- Strong experience with SQL, ETL tools, and cloud-based data platforms (e.g., AWS, Google Cloud, Azure).
- Proficient in programming languages like Python, Java, or Scala.
- Experience with data modeling, data warehousing, and data governance.
- Proven experience in leading a team and managing complex data engineering projects.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills with the ability to work effectively in a cross-functional team environment.
- Experience with agile methodologies and project management tools.
- Familiarity with machine learning concepts and tools is a plus.
Join our team and be part of a fast-paced and innovative company that values diversity, collaboration, and excellence.