Lead Data Engineer

　　100% Remote | Full Time

　　No Sponsorship available at this time.

　　We are seeking a dynamic and experienced Lead Data Engineer to join our newly formed Data Platform Team. As a Lead Data Engineer, you will have the opportunity to collaborate with a team of data scientists, engineers, and analysts to create and maintain scalable data pipelines. You will be responsible for writing big data pipelines in Python and DBT transformations in SQL. The ideal candidate will have a strong technical background, a passion for data processing, and the ability to think creatively and strategically to solve complex challenges.

　　Key Responsibilities:

　　Write, test, and maintain robust, high-quality code in Python and DBT data models on Snowflake.

　　Work with data and analytics experts to strive for greater functionality in our data systems.

　　Collaborate with cross-functional teams to gather requirements and develop software solutions.

　　Design, construct, install, test, and maintain highly scalable data management systems.

　　Provide debugging and troubleshooting support for existing systems.

　　Participate in code reviews to ensure software quality and adherence to standards.

　　Assist in database design and the development of our Snowflake data warehouse.

　　Leverage AWS and other cloud technologies for efficient software deployment and scalability.

　　Use Python to process and clean data, manage ETL pipelines, and create automated workflows.

　　Minimum Qualifications:

　　Bachelor's degree in Computer Science, Engineering, or a related field.

　　5+ years of experience in designing, implementing, and maintaining relational/data warehousing environments.

　　Strong proficiency in programming languages commonly used in data engineering, such as Python, SQL, and big data technologies like Snowflake, Spark, Kafka, and distributed computing frameworks.

　　Experience working with data warehouses and relational databases.

　　Familiarity with AWS and/or other cloud-based technologies.

　　Experience with Big Data technologies such as Hadoop, Spark, Beam, Flink, or similar technologies is a plus.

　　Excellent problem-solving skills with a strong attention to detail.

　　Ability to work both independently and as part of a team.

　　Excellent verbal and written communication skills.

　　Preferred Qualifications:

　　Experience working on a project that involved multi-classification

　　Experience with hybrid cloud workflows

　　In Return for Your Expertise, You Will Receive:

　　Excellent benefits including health, dental, and vision insurance, stock options, work from home and flexible scheduling depending on job requirements, professional development opportunities, 9 paid holidays, and 15 days PTO.

　　Home office setup support for remote employees.

　　A welcome “swag bag” with branded clothing as an official welcome to the team.

　　The chance to work for an organization that puts people first and fosters a culture of teamwork, integrity, communication, accountability, and positive attitude!

　　Dynatron Software is an Equal Opportunity Employer and encourages all qualified individuals to apply.

　　Compensation: $130,000 - $160,000

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