HarbourVest Partners
Job Description Summary
For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open‑door culture that values diversity and innovative thinking.
HarbourVest is an equal‑opportunity employer.
This position will be a hybrid work arrangement, which translates to 2‑3 days minimum per week in the office.
The data engineer will work toward the transformation of our firm’s data infrastructure, primarily using the Snowflake data environment, plus the Azure data stack as well.
The ideal candidate is someone who has:
Successful track record contributing to data‑platform projects of significant scale and complexity, involving modern data platform implementations. 1+ year of Snowflake‑specific experience required
Experience organizing data schemas aligned with the needs of business applications
Confidence and skill in building and communicating data‑flow schematics understandable to both business and technical teams
Perseverance, empathy, “give‑and‑take” attitude, and respect for the feedback and contributions of others
Time management discipline
What you will do:
Implement and support Snowflake‑based data pipelines with source data originating across a variety of technical environments
Analyze business and technical requirements as basis for contributing to sophisticated conceptual, logical, and physical data models
Design and build data validations, transformations, normalizations, reports, extracts, and integration processes, using Snowflake, Dagster, and Azure data stacks
Create and implement CI/CD pipelines
Organize work and adhere to thorough work tracking, using Agile techniques
What you bring:
SQL and Python knowledge
Proficiency in Snowflake and Dagster; similar proficiency in Azure data environment a plus
Highly collaborative attitudes and work style; welcoming the inputs of others
Confidence and skill to document work items and explain deliverables, to enhance overall team efficiency
Capability to balance demands of scope, schedule, and budget
Education Preferred:
Bachelor’s degree or equivalent experience
Experience:
3‑5 Years of experience
Salary Range: $100,000.00 – $160,000.00 USD base salary, plus discretionary annual bonus and additional total rewards.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: Venture Capital and Private Equity Principals
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HarbourVest is an equal‑opportunity employer.
This position will be a hybrid work arrangement, which translates to 2‑3 days minimum per week in the office.
The data engineer will work toward the transformation of our firm’s data infrastructure, primarily using the Snowflake data environment, plus the Azure data stack as well.
The ideal candidate is someone who has:
Successful track record contributing to data‑platform projects of significant scale and complexity, involving modern data platform implementations. 1+ year of Snowflake‑specific experience required
Experience organizing data schemas aligned with the needs of business applications
Confidence and skill in building and communicating data‑flow schematics understandable to both business and technical teams
Perseverance, empathy, “give‑and‑take” attitude, and respect for the feedback and contributions of others
Time management discipline
What you will do:
Implement and support Snowflake‑based data pipelines with source data originating across a variety of technical environments
Analyze business and technical requirements as basis for contributing to sophisticated conceptual, logical, and physical data models
Design and build data validations, transformations, normalizations, reports, extracts, and integration processes, using Snowflake, Dagster, and Azure data stacks
Create and implement CI/CD pipelines
Organize work and adhere to thorough work tracking, using Agile techniques
What you bring:
SQL and Python knowledge
Proficiency in Snowflake and Dagster; similar proficiency in Azure data environment a plus
Highly collaborative attitudes and work style; welcoming the inputs of others
Confidence and skill to document work items and explain deliverables, to enhance overall team efficiency
Capability to balance demands of scope, schedule, and budget
Education Preferred:
Bachelor’s degree or equivalent experience
Experience:
3‑5 Years of experience
Salary Range: $100,000.00 – $160,000.00 USD base salary, plus discretionary annual bonus and additional total rewards.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: Venture Capital and Private Equity Principals
#J-18808-Ljbffr