[Remote] Data Engineer
Note: The job is a remote job and is open to candidates in USA. enGen is seeking a Data Engineer to support its technical team and data infrastructure. The role focuses on designing, developing, and maintaining data pipelines, models, databases, and warehouses while ensuring data quality, security, governance, and reliable data movement across systems.
Responsibilities
- Design, develop, and maintain robust data processes and solutions to ensure the efficient movement and transformation of data across multiple systems
- Develop and maintain data models, databases, and data warehouses to support business intelligence and analytics needs
- Collaborate with stakeholders across IT, product, analytics, and business teams to gather requirements and provide data solutions that meet organizational needs
- Monitor work against the production schedule, provide progress updates, and report any issues or technical difficulties to lead developers regularly
- Implement and manage data governance practices, ensuring data quality, integrity, and compliance with relevant regulations
- Collaborate on the design and implementation of data security measures, including access controls, encryption, and data masking
- Perform data analysis and provide insights to support decision-making across various departments
- Stay current with industry trends and emerging technologies in data engineering, recommending new tools and best practices as needed
- Other duties as assigned or requested
Skills
- • 3 years of experience in design and analysis of algorithms, data structures, and design patterns in the building and deploying of scalable, highly available systems
- • 3 years of experience in a data engineering, ETL development, or data management role
- • 3 years of experience in SQL and experience with database technologies (e.g., MySQL, PostgreSQL, MongoDB)
- • 3 years of experience in data warehousing concepts and experience with data warehouse solutions (e.g., Snowflake, Redshift, BigQuery)
- • Demonstrated ability to achieve stretch goals in a highly innovative and fast-paced environment
- • Adaptability Ability to take on diverse tasks and projects, adapting to the evolving needs of the organization
- • Analytical Thinking Analytical skills with a focus on detail and accuracy
- • Interest and ability to learn other data development technologies/languages as needed
- • Technical Proficiency Comfortable with a range of data tools and technologies, with a willingness to learn new skills as needed
- • Track record in designing and implementing large-scale data sources
- • Sense of ownership, urgency, and drive
- • Demonstrated passion for user experience and improving usability
- • Team Collaboration A team player who can work effectively in cross-functional environments
- • Experience and willingness to mentor junior data engineers and help develop their skills and leadership
- • Bachelor's degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field or relevant experience and/or education as determined by the company in lieu of bachelor's degree
- 0% - 25%
- Lifting up to 10 pounds Constantly
- Lifting 10 to 25 pounds Occasionally
- Lifting 25 to 50 pounds Rarely
- • 5 years of experience with data pipeline and workflow management tools (e.g., Apache Airflow, AWS Glue, Azure Data Factory)
- • 5 years of experience defining system architectures and exploring technical feasibility trade-offs for optimizing short term execution while planning for long term technical capabilities
- • 5 years of experience working with a variety of technology systems, designing solutions or developing data solutions in healthcare
- • 5 years of experience with Cloud platforms (AWS, Azure, GCP) and their respective data services
- • 5 years of experience in data governance, data quality, and data security best practices
- • 5 years of experience translating requirements, design mockups, prototypes or user stories into technical designs
- • 5 years of experience with data-related code that is fault-tolerant, efficient, and maintainable
- • 5 years of experience building data pipelines and solutions using Python, R, or equivalent programming languages
- • 3 years of experience with data pipeline and workflow management tools (e.g., Apache Airflow, AWS Glue, Azure Data Factory)
- • 3 years of experience building data pipelines and solutions using Python, R, or equivalent programming languages
- • Master's degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field
Benefits
- Office- or Remote-based
- Physical work site required: No
Company Overview
Company H1B Sponsorship