Responsibilities / What You Will Do

Plan and lead research and development for advanced analytical data solutions, including the use of generative AI.
Partner with business and technical stakeholders to gather requirements, understand data sources, and design and build effective data pipelines.
Collaborate with project team members, lead design reviews, contribute hands-on development, and communicate progress and solutions to stakeholders.

Requirements

7+ years of data engineering experience across multiple environments (e.g., Dev, QA, Production) with DevOps practices for code deployment.
Experience working with a range of generative AI models, tools, and concepts.
5+ years of proven experience using SQL and Python.
3+ years of experience designing and building relational databases (e.g., Snowflake, PostgreSQL, or similar).
Experience translating high-level requirements into technical data engineering tasks.
Experience developing solutions for complex data engineering challenges that support advanced analytics.
Familiarity with concepts such as Knowledge Graphs, Data Mesh, and data-sharing platforms.
3+ years of experience managing and deploying code with source control tools (e.g., Git-based platforms).
2+ years of experience with job scheduling and orchestration tools (e.g., Airflow or similar).
Several years of experience building and maintaining ELT/ETL data pipelines.
Experience with containerization technologies (e.g., Docker, Kubernetes).

Education

Bachelor’s degree in Computer Science, Mathematics, Software Engineering, or a related field, or equivalent practical experience.

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

Sr. Data Engineer

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