At Stellar, we are committed to keeping humans at the center of AI transformation. Our mission is to help organizations leverage data and AI technologies to drive better business outcomes while keeping human values and ethics at the forefront. We believe that AI has the potential to revolutionize the way we live and work, but it must be developed and deployed responsibly and with consideration for its impact on society. We are committed to working with our clients to develop ethical and responsible AI solutions that benefit both their organizations and the communities they serve. We believe that by putting humans at the center of AI transformation, we can create a brighter, more equitable future for everyone. And we’re looking for passionate and dedicated individuals who share our commitment to diversity, equity, and inclusion and our mission to keep humans at the center of AI transformation.

Job Title: Data Engineer

Job Summary: We are seeking a talented Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining Stellar’s and our clients data architecture and infrastructure. The Data Engineer will work closely with cross-functional teams to ensure data accuracy, completeness, and consistency, and will play a critical role in helping our clients and Stellar scale our data capabilities.

Key Responsibilities:

• Design, build, and maintain data pipelines and infrastructure to support data-driven initiatives for Stellar and our clients
• Work closely with cross-functional teams to understand business needs and develop scalable data solutions
• Develop and maintain data models, ETL processes, and database architectures to ensure data accuracy, completeness, and consistency
• Expertise in Snowflake is required
• Experience in data analytics and BI including expertise with Sigma, Power BI, Tableau, Alteryx and similar applications a plus
• Monitor data quality and proactively identify and address data-related issues
• Design and implement data security measures and ensure compliance with data privacy regulations
• Develop and maintain documentation for data pipelines, data models, and data dictionaries
• Continuously stay up-to-date with the latest trends and developments in data engineering and related technologies
• Collaborate with data analysts and data scientists to provide access to high-quality, reliable data
• Participate in code reviews and maintain high standards for code quality and maintainability

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
• 3+ years of experience in data engineering, ETL development, and database architecture design
• 3+ years experience with Snowflake is required
• Proficiency in programming languages such as Python, Java, or Scala, as well as experience with data processing frameworks such as Apache Spark or Hadoop
• Experience with SQL and NoSQL databases, data warehousing, and data modeling
• Familiarity with cloud-based data processing and storage platforms such as AWS, Azure and GCP
• Additional expertise with on premise storage environments a plus
• Strong problem-solving and critical thinking skills, with the ability to develop and implement innovative data engineering solutions
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment
• Experience with data security and privacy regulations such as GDPR and HIPAA is required
• Familiarity with data visualization tools such as Tableau or Power BI and expertise with Sigma computing a plus

If you are passionate about data engineering and thrive in a fast-paced, collaborative environment, we encourage you to apply for this exciting opportunity as a Data Engineer at Stellar.

At Stellar, we believe that diversity, equity, and inclusion are fundamental to our success. We are committed to creating an inclusive and welcoming environment where everyone can bring their authentic selves to work and contribute to our shared goals. We believe that a diverse team with varied perspectives and backgrounds can drive innovation, creativity, and better outcomes for our clients. We are dedicated to fostering a culture of respect, fairness, and equality, and to continuously improving our diversity, equity, and inclusion practices.