Divert
Data Engineer
Divert, Concord, Massachusetts, us, 01742
About Divert, Inc.
Divert, Inc. is an impact technology company on a mission to Protect the Value of Food™. Founded in 2007, the company creates advanced technologies and sustainable infrastructure to eliminate wasted food, driving social and environmental impact. Divert provides an end-to-end solution that leverages data to prevent waste, facilitates edible food recovery to serve communities in need, and converts wasted food into renewable energy. The company works with over 6,600 customer locations across the U.S. to reduce wasted food and positively impact people and the environment. Its customer base spans across industries and includes five Fortune 100 companies. For more information on Divert, Inc., please visit www.divertinc.com.
Data Engineer
This is a greenfield opportunity to help us build a scalable operating platform. As the Data Engineer you will build and support company-wide data warehousing solutions, as well as ETL pipelines for efficient data integration/transformation. You will work hand-in-hand with business stakeholders as well as systems, software, operational technology, and IT team members to define the required data needs of systems and effective tools to meet those needs. The successful candidate will be an experienced, inquisitive, quick learner who will bridge the business needs and the data solutions. You'll be knowledgeable about database best practices, tooling options, and experienced in building ETL pipelines. Additional responsibilities include monitoring systems for quick bug fixes, managing mid-size projects, and contributing to the maturing of our use of data as a company asset.
Responsibilities:(30%) Design, manage, optimize, and secure database systems, ensuring high availability and performance for both transactional and analytical workloads.(30%) Design, build, and maintain scalable data pipelines and ETL processes to support data integration and analysis across various sources.(20%) Collaborate with stakeholders, analysts, and software engineers to define data requirements and develop data models that meet business needs.(10%) Monitor database performance, implement backup and recovery strategies, and troubleshoot database-related issues.(10%) Attain a high re-use of technology while driving process standardization and simplification.Skills and Competencies
Extensive knowledge and experience with implementing data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).Expert in SQL and relational databases, as well as NoSQL databases.Strong experience with ETL tools and data pipeline frameworks.Knowledge of cloud data platforms (e.g., Azure, GCP, AWS)Familiarity with data modeling techniques and best practices for data governance.Strong communication skills to effectively collaborate with technical and non-technical stakeholders.Ability to assess requirements and design the appropriate architecture for the solution.Ability to work both independently and within a team environment.Exceptional communication, documentation and organizational skills.Strong track record in managing concurrent tasks and priorities in a fast-paced, changing, demanding environment with quality results.Strong analytical and critical thinking skills to assist with problem solving and business rule definition.Handles ambiguity without losing focus and can perform with minimal directionEducation/Experience Required:
Bachelor's degree in Computer Science, Data Engineering, or a related field4+ years of experience in data engineering and database administrationExperience with database performance tuning, indexing, and query optimizationExperience building and maintaining ETL pipelinesFamiliarity with programing languages, specifically Python, C#, and JavaScriptStrong time management and prioritization skillsExcellent oral, written communication, and presentation skillsMust be a strong collaborator, team player, and individual contributorClear ability to apply continuous improvement and technology to business processes preferredWhat's In It For You?
Compensation Range: $100,000 - $130,000 annuallyHealth, Vision and Dental Benefits (effective the first of the month following your date of hire!)Life Insurance401K with Safe Harbor company matchPaid Time OffOpportunities for Advancement with a Rapidly Growing, Mission-Driven Organization
Divert Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Divert, Inc. is an impact technology company on a mission to Protect the Value of Food™. Founded in 2007, the company creates advanced technologies and sustainable infrastructure to eliminate wasted food, driving social and environmental impact. Divert provides an end-to-end solution that leverages data to prevent waste, facilitates edible food recovery to serve communities in need, and converts wasted food into renewable energy. The company works with over 6,600 customer locations across the U.S. to reduce wasted food and positively impact people and the environment. Its customer base spans across industries and includes five Fortune 100 companies. For more information on Divert, Inc., please visit www.divertinc.com.
Data Engineer
This is a greenfield opportunity to help us build a scalable operating platform. As the Data Engineer you will build and support company-wide data warehousing solutions, as well as ETL pipelines for efficient data integration/transformation. You will work hand-in-hand with business stakeholders as well as systems, software, operational technology, and IT team members to define the required data needs of systems and effective tools to meet those needs. The successful candidate will be an experienced, inquisitive, quick learner who will bridge the business needs and the data solutions. You'll be knowledgeable about database best practices, tooling options, and experienced in building ETL pipelines. Additional responsibilities include monitoring systems for quick bug fixes, managing mid-size projects, and contributing to the maturing of our use of data as a company asset.
Responsibilities:(30%) Design, manage, optimize, and secure database systems, ensuring high availability and performance for both transactional and analytical workloads.(30%) Design, build, and maintain scalable data pipelines and ETL processes to support data integration and analysis across various sources.(20%) Collaborate with stakeholders, analysts, and software engineers to define data requirements and develop data models that meet business needs.(10%) Monitor database performance, implement backup and recovery strategies, and troubleshoot database-related issues.(10%) Attain a high re-use of technology while driving process standardization and simplification.Skills and Competencies
Extensive knowledge and experience with implementing data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).Expert in SQL and relational databases, as well as NoSQL databases.Strong experience with ETL tools and data pipeline frameworks.Knowledge of cloud data platforms (e.g., Azure, GCP, AWS)Familiarity with data modeling techniques and best practices for data governance.Strong communication skills to effectively collaborate with technical and non-technical stakeholders.Ability to assess requirements and design the appropriate architecture for the solution.Ability to work both independently and within a team environment.Exceptional communication, documentation and organizational skills.Strong track record in managing concurrent tasks and priorities in a fast-paced, changing, demanding environment with quality results.Strong analytical and critical thinking skills to assist with problem solving and business rule definition.Handles ambiguity without losing focus and can perform with minimal directionEducation/Experience Required:
Bachelor's degree in Computer Science, Data Engineering, or a related field4+ years of experience in data engineering and database administrationExperience with database performance tuning, indexing, and query optimizationExperience building and maintaining ETL pipelinesFamiliarity with programing languages, specifically Python, C#, and JavaScriptStrong time management and prioritization skillsExcellent oral, written communication, and presentation skillsMust be a strong collaborator, team player, and individual contributorClear ability to apply continuous improvement and technology to business processes preferredWhat's In It For You?
Compensation Range: $100,000 - $130,000 annuallyHealth, Vision and Dental Benefits (effective the first of the month following your date of hire!)Life Insurance401K with Safe Harbor company matchPaid Time OffOpportunities for Advancement with a Rapidly Growing, Mission-Driven Organization
Divert Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.