Full-Time Data Engineer

Data Engineer

As a Data Engineer, you will be key in building and optimizing data infrastructure to enable data-driven decision-making across the organization.

Key Responsibilities:

• Develop data pipelines using tools such as Databricks and Fivetran.
• Design, develop and maintain data pipelines for integration, transformation, and loading of data from various sources.
• Optimize data workflows for performance, reliability, and scalability.
• Collaborate with analysts and data scientists to maintain and enhance the data warehouse architecture for analytics and machine learning.
• Ensure data models are efficient and support key business use cases.
• Develop ETL/ELT processes to extract, transform, and load data, ensuring timely and accurate data delivery.
• Automate and monitor ETL workflows for continuous reliability.
• Implement tools and frameworks to ensure data quality, accuracy, and consistency.
• Proactively identify and resolve data issues to maintain high-quality datasets.
• Partner with software engineers, product managers, and business stakeholders to understand data requirements and deliver tailored solutions.
• Share knowledge and collaborate to ensure alignment with organizational objectives.
• Monitor and optimize the performance of data systems to handle current and future workloads efficiently.
• Troubleshoot and resolve data-related challenges in real-time.
• Create and maintain documentation for data pipelines, workflows, and system configurations.
• Promote best practices for data governance, coding standards, and security.

Experience:

5+ years of experience in data engineering with hands-on expertise in building scalable and reliable data platforms.

Technical Proficiency:

Must Have:

• Proficiency with cloud platforms (AWS, Azure, or Google Cloud)
• Hands-on experience with tools like Databricks, ETL/ELT (preferably Fivetran), SQL, Python, and Spark.

Nice to Have:

• Familiarity with event-tracking tools like Segment.

Problem-Solving:

Strong analytical skills and the ability to solve complex data engineering challenges.

Collaboration & Communication:

Ability to work effectively in cross-functional teams and communicate technical concepts to diverse audiences.

Education:

Bachelor's degree in computer science, Engineering, or a related field

Compensation:

Base Salary: $100k - $120k

Bonus - 10% of annual earnings

Benefits: 401(k) plus match, Dental insurance, Health insurance, Vision Insurance, Paid Time Off

Why Join Us?:

Opportunity to work on impactful projects that improve the lives of families and seniors.

Collaborative and inclusive environment focused on innovation and professional growth.

Shape data-driven decision-making in a mission-driven organization.

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