Remote Sr. Data Engineer

Description:

• WISEcode is a well-funded, dynamic startup focused on personalized nutrition based on factual data about food.
• The company aims to empower individuals with the information needed to make informed dietary decisions.
• The role of Sr. Data Engineer involves developing an innovative nutrition database at the intersection of data engineering, machine learning, and proprietary nutrition.
• Responsibilities include designing, developing, testing, and maintaining systems for data acquisition, storage, processing, and retrieval for analytics and machine learning.
• The position requires collaboration with data scientists, application developers, and machine learning engineers to understand data requirements and deliver a robust data pipeline.
• Key responsibilities include gathering data requirements, participating in agile activities, designing and maintaining data infrastructure, building scalable data pipelines, and implementing data quality checks.
• The role also involves maintaining documentation for platform architecture and participating in Data Operations to ensure adherence to SLA and data quality standards.

Requirements:

• A minimum of 7 years of combined experience in data engineering, data warehousing, and data science is required.
• A Bachelor’s degree in Computer Science, Engineering, or equivalent work experience is necessary; a Master’s degree is preferred.
• Expertise in data modeling, ETL processes, and data warehousing concepts is essential.
• Strong proficiency in programming languages such as Python and Scala is required.
• Experience with big data technologies and frameworks like Hadoop and Spark is necessary.
• Hands-on experience with major cloud providers (AWS, Google Cloud, Azure) is required.
• Proven experience building data lakes using Databricks, Snowflake, or AWS Redshift is essential.
• Databricks Data Engineering Professional certification is a strong plus.
• Proficiency in SQL and relational databases such as SQL Server, PostgreSQL, and MySQL is required.
• Experience developing data pipelines with technologies such as Airflow, Dagster, and Kafka is necessary.
• A solid understanding of data security and privacy regulations is required.
• Strong understanding of software development life cycle best practices is essential.
• Excellent problem-solving skills and attention to detail are necessary.
• Ability to navigate ambiguity and drive tasks to success without relying solely on formal authority is required.
• Outstanding communication and collaboration skills are essential.
• Ability to work independently and manage multiple tasks efficiently is necessary.
• A positive, can-do attitude with a high-intensity work ethic and commitment to success is required.
• Fast learner with the ability to absorb new information, particularly in the nutrition domain, is essential.

Benefits:

• The salary for this position ranges from $150,000 to $175,000 a year.
• Medical, dental, and vision insurance are provided.
• A 401(k) plan and other ancillary benefits offerings are included.
• Paid Time Off is available for vacation, illness, and other types of leave.