Remote Lead, Data Engineer (Client Deployment) (United States)

Description:

• Demyst is transforming the way enterprises manage data through data workflow automation.
• The company is seeking a Lead Engineer with a strong data engineering focus to deliver a next-generation data platform to enterprises across North America.
• The role involves leading a team of data engineers focused on data integration and solution deployment.
• Responsibilities include overseeing the development and management of robust, scalable, and reliable data pipelines.
• The position requires technical leadership, mentoring, and active contribution to coding, architectural decisions, and data engineering strategy.
• The candidate will guide the team through complex client deployments, ensuring effective integration of data solutions aligned with client goals.
• Demyst operates as a remote-first company, and candidates must be based in the United States.

Requirements:

• A Bachelor's degree or higher in Computer Science, Data Engineering, or related fields is required, with equivalent work experience highly valued.
• Candidates should have 5-10 years of experience in data engineering, software engineering, or client deployment roles, with at least 3 years in a leadership capacity.
• Strong leadership skills are necessary, including the ability to mentor and motivate a team and drive outcomes.
• Expertise in designing, building, and optimizing ETL/ELT data pipelines using languages such as Python, JavaScript, Golang, or Scala is required.
• Experience managing large-scale data processing environments, including Databricks and Spark, is essential.
• Proven experience with Apache Airflow for orchestrating data pipelines and managing workflow automation is needed.
• Deep knowledge of cloud services, particularly AWS (EC2/ECS, Lambda, S3), is required.
• Hands-on experience with both SQL and NoSQL databases, along with a deep understanding of data modeling and architecture, is necessary.
• Strong collaboration skills with clients and cross-functional teams to deliver technical solutions that meet business needs are essential.
• Proven experience in unit testing, integration testing, and engineering best practices to ensure high-quality code is required.
• Familiarity with agile project management tools (JIRA, Confluence, etc.) and methodologies is preferred.
• Experience with data visualization and analytics tools such as Jupyter Lab, Metabase, or Tableau is beneficial.
• Strong communication and problem-solving skills are necessary, especially in distributed teams.

Benefits:

• Employees will operate at the forefront of data management innovation and work with major industry players in a rapidly growing field.
• The role offers significant impact within a growing team, providing real autonomy and responsibility for client outcomes.
• Employees will have the opportunity to help define and support new initiatives.
• The company promotes a distributed team culture with fully flexible working hours and location.
• A collaborative, inclusive, and dynamic culture is emphasized.
• Generous benefits and compensation plans are provided.
• ESOP awards are available for tenured staff.
• Employees will join an established and scaling data technology business.