Build and maintain ETL/ELT pipelines, design data models, and develop data workflows using Snowflake, dbt, Python, and SQL. Integrate data sources with tools like Airbyte/Fivetran/Dagster, leverage AWS services (S3, Lambda, API Gateway), use Git for version control, and optionally support Tableau visualizations. Remote role with 3–7 years experience.
This is a remote position.
Primary Skills:
- Strong experience in Snowflake Data Warehouse
- Hands-on expertise in dbt (data build tool)
- Proficiency in Python for data engineering tasks
- Strong SQL and data modelling skills
Additional Requirements:
- Experience with data integration tools such as Airbyte, Fivetran, or Dagster
- Knowledge of building and managing ETL/ELT pipelines
- Hands-on experience with AWS services (S3, Lambda, API Gateway, etc.)
- Familiarity with version control (Git)
- Good to Have: Exposure to Tableau
Experience Range: 3–7 years (flexible based on skill set)
Similar Jobs
Artificial Intelligence • Fintech • Machine Learning • Mobile • Payments • Retail • Software
Own and modernize Upsides analytics data platform: migrate pipelines, reduce cost, improve governance, design reusable modeling/orchestration patterns, deliver domain-critical data products, lead cross-functional initiatives, mentor engineers, and support ML and product teams.
Top Skills:
AWSCi/CdDagsterDatabricksDbtSnowflakeTerraform
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Design, build, and maintain data pipelines and architectures, apply advanced analytics to generate client insights, develop BI dashboards, collaborate with stakeholders to solve data challenges, and support managed-services engagements while upholding technical and professional standards.
Top Skills:
AWSCdcDatastageDb2ETLGoldengateJavaOracle Business IntelligencePythonQlikviewRedshiftSQL ServerWorkload Scheduler
Artificial Intelligence • Legal Tech
Founding data engineer responsible for consolidating multiple data sources into a BigQuery warehouse, building ETL/ELT pipelines, creating self-serve data tools (including natural-language/LLM agents), enabling analytics and personalization, and defining data engineering standards and infrastructure for a growing AI product.
Top Skills:
BigQueryData LakeEtl/EltGoogle Cloud PlatformLlmsPythonSQLTerraformText-To-Sql
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



