Collaborate with various teams to design and optimize data pipelines, improve data infrastructure, ensure data quality, and apply engineering best practices.
At Goldbelly, we believe food brings people together. We connect people with their greatest culinary desires within and beyond local communities. We empower food makers of all sizes and deliver their passion to food-lovers around the country.
As a Data Engineer, you will enhance how millions of customers connect with both novel and nostalgic food experiences on our platform. By partnering with business leaders and leveraging state-of-the-art data engineering and analytics resources, you will play a key role in transforming our data infrastructure and pipelines.
Responsibilities- Collaborate closely with full stack engineers, machine learning engineers, data analysts, and product managers to design and optimize data pipelines and ETL processes that drive business decisions.
- Design, develop, and maintain robust, scalable data systems to ensure seamless data integration and high availability.
- Improve our data infrastructure by optimizing ingestion, storage, and retrieval processes to support analytics, reporting, and machine learning applications.
- Help define and ensure data quality, governance, and security best practices are followed across all data workflows.
- Build and maintain data models that support business insights and operational reporting.
- Apply software engineering best practices, including CI/CD, testing, and version control, to data engineering workflows to ensure reliability and maintainability.
- 3+ years of experience in data engineering and working on large-scale data systems.
- Expert level in SQL required, proficiency in Python preferred.
- Skilled in dimensional and normalized data modeling and transformation using tools like dbt Cloud.
- Strong understanding of cloud-based data infrastructure (AWS and Snowflake preferred).
- Experience with BI platforms like Metabase and Sigma Computing for data visualization/dashboard tools.
- Experience with data ingestion and ETL pipelines like Fivetran.
- Familiarity with event-driven architectures and real-time data streaming using tools like Confluent Kafka.
- Proficient in version control with Git and collaborative development on GitHub or GitLab.
Salary range: $140,000 - $190,000 base salary range (dependent on experience level and interview performance) + equity (incentive stock options, vested over 4 years) + benefits.
Top Skills
AWS
Confluent Kafka
Dbt Cloud
Fivetran
Git
Git
Gitlab
Metabase
Python
Sigma Computing
Snowflake
SQL
Similar Jobs
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Data Engineer Director, you will lead data initiatives, develop strategies, oversee projects, and maintain client relations to drive business growth.
Top Skills:
AIAzureBig DataCloud Data ArchitecturesEltETLMl
Other
The Data Engineer will develop data pipelines, optimize code, and create new data products to support research on the eviction crisis. They will work independently while also collaborating with a project lead, focusing on large datasets and code efficiency.
Top Skills:
ArcgisGeopandasPandasPythonRSQL
.png)
Big Data • Healthtech • HR Tech • Machine Learning • Software • Telehealth • Big Data Analytics
As a Data Engineer II, you will collaborate to build and support data platforms, ensuring secure access and high-quality data sets while engaging with multiple teams to convert ideas into production systems.
Top Skills:
ArgoAWSCloudwatchDatadogDbtDockerKubernetesPrometheusPythonSnowflakeSQLTerraform
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
