Full Stack Data Engineer

Job Type: Full Time
Job Location: Remote


We are seeking a talented Full Stack Data Engineer to join our dynamic team. As a Full Stack Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure and systems. You will collaborate closely with cross-functional teams to implement scalable data solutions that drive actionable insights and support our business objectives.


  • Design and develop robust data pipelines to collect, clean, transform, and store data from diverse sources.
  • Build scalable data models and databases to support applications, analytics, and reporting.
  • Implement efficient ETL processes to ensure data quality and integrity.
  • Develop APIs and microservices for seamless data integration across platforms.
  • Work closely with data scientists and analysts to deploy machine learning models and algorithms into production.
  • Collaborate with software engineers to integrate front-end and back-end components with data infrastructure.
  • Optimize and tune databases and queries for maximum performance and reliability.
  • Ensure compliance with data security and privacy regulations.


  • Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred).
  • Proven experience as a Full Stack Data Engineer or similar role.
  • Strong proficiency in programming languages such as Python, Java, or Scala.
  • Experience with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
  • Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
  • Familiarity with data warehousing solutions (e.g., Snowflake, Redshift) and data streaming technologies (e.g., Kafka, Spark Streaming).
  • Solid understanding of front-end technologies (e.g., JavaScript, HTML5, CSS) and modern JavaScript frameworks (e.g., React, Angular, Vue).
  • Excellent problem-solving skills and ability to think critically.
  • Strong communication and collaboration skills.
  • Ability to work independently and in a team environment.


Joining our team means being part of an innovative environment that encourages creativity and forward-thinking. You will have the opportunity to work on cutting-edge projects, enhancing your skills and contributing to the development of comprehensive software solutions. If you are passionate about full stack development and are looking for a challenging role that blends front-end creativity with back-end efficiency, we welcome you to apply.


At Curate Partners, we are not just a staffing agency; we are a bridge to innovation in the digital and data transformation landscape. Our mission is to match dynamic organizations with the ‘Purple Squirrels’ of the talent world—those rare, innovative drivers with unique skills that catalyze change and propel transformation journeys. With a focus on specialized talent, we empower companies and individuals alike to achieve groundbreaking success in their respective fields. Join us, and become part of a purpose-driven team committed to making a measurable impact while advancing your career alongside the most sought-after professionals in the industry.


Curate Partners and their clients are committed to fostering, cultivating, and preserving a culture of diversity, equity, and inclusion. We embrace the unique contributions that each ‘Purple Squirrel’ brings to our team, regardless of their age, gender, race, ethnicity, national origin, disability status, sexual orientation, or religious belief. We believe that our strength lies in our diversity and in our unified pursuit of innovation, excellence, and transformative success. We are dedicated to providing an environment where all employees and consultants feel valued, included, and empowered to bring their authentic selves.


1. What skills are essential for a Full Stack Data Engineer?

A Full Stack Data Engineer should have strong proficiency in programming languages such as Python, Java, or Scala, experience with both relational (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB), familiarity with cloud platforms (e.g., AWS, Azure, GCP), and knowledge of data warehousing solutions and data streaming technologies.

2. What are the typical responsibilities of a Full Stack Data Engineer?

Typical responsibilities include designing and developing data pipelines, building scalable data models and databases, implementing ETL processes, developing APIs and microservices for data integration, collaborating with data scientists on deploying machine learning models, optimizing databases and queries for performance, and ensuring data security and compliance.

3. Is remote work available for this position?

Yes, remote work options are available for this role, although occasional on-site collaboration may be required depending on the project needs.

4. What are the career growth opportunities for a Full Stack Data Engineer at your company?

At our company, we offer opportunities for career growth through ongoing professional development, access to cutting-edge technologies, involvement in innovative projects, and the potential to move into leadership or specialized roles within our data engineering and technology teams.

5. What benefits and perks does your company offer?

We provide competitive salaries, performance-based bonuses, comprehensive benefits packages (including healthcare and retirement plans), flexible work hours, remote work options, professional development opportunities, and a dynamic work environment focused on innovation and collaboration.

6. How does your company support work-life balance for Full Stack Data Engineers?

We understand the importance of work-life balance and strive to support our employees with flexible work schedules, remote work options, and initiatives to promote a healthy work-life integration.

7. What is the interview process like for the Full Stack Data Engineer role?

Our interview process typically includes initial screening calls, technical assessments or coding challenges, virtual or on-site interviews with our hiring team and technical experts, and discussions about your experience, skills, and alignment with our company culture and values.

8. What technologies and tools does your company use for data engineering?

We utilize a variety of technologies and tools depending on project requirements, including but not limited to cloud platforms (AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), data warehousing solutions (Snowflake, Redshift), data streaming technologies (Kafka, Spark Streaming), and modern front-end frameworks (React, Angular, Vue).

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