Data engineer • boston ma
A rapidly growing SaaS technology company is hiring a remote Staff Data Engineer to lead the design, development, and evolution of enterprise-scale data systems that power critical business operati... Show more
As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries.Some 20,000 financia... Show more
TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence.We help the world’s leading life sciences firms turn fragmented scientific dat... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
Company:<br /> Commonwealth Of Massachusetts<br /> <br /> Location:<br /> Quincy,MA<br /> 2 times a week.Position:<br /> Cloud Data Engineer</p> <p> ... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
Senior Data Engineer — Boston, MA.A well-established consumer media and technology company is hiring a Senior Data Engineer to help modernize the data systems behind its digital products.This... Show more
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models.This individual will be responsible for the entire data lifecycle... Show more
Aptos,serif"><b><span style="font-family:"Calibri",sans-serif">Position: Lead Senior Data Engineer</span></b></span></span></p>... Show more
Proficiency in Snowflake cloud data platforms and executing complex SQL and Python code.Experience with AWS cloud solutions, enterprise data warehousing, and decentralized data mesh architectures.E... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
The average salary range is between $ 121,591 and $ 185,000 year , with the average salary hovering around $ 141,534 year .
The average salary range is between $ 105,570 and $ 172,017 year , with the average salary hovering around $ 130,000 year .
Job Description
A rapidly growing SaaS technology company is hiring a remote Staff Data Engineer to lead the design, development, and evolution of enterprise-scale data systems that power critical business operations and decision-making. This role combines data architecture, platform engineering, and technical leadership, with a focus on building scalable ETL/ELT pipelines, modern cloud-based data platforms, and trusted data foundations across the organization. The environment leverages Python, SQL, AWS, Redshift, Glue, Lambda, S3, Airflow, and modern data engineering practices to support both operational and analytical workloads.
This is a highly visible Staff-level opportunity where you'll serve as the senior technical leader for data engineering, shaping the organization's long-term data strategy while remaining hands-on with architecture and implementation. The team is looking for someone who enjoys solving complex data challenges, influencing engineering standards across teams, and building systems that scale with business growth.
This is a full-time position.
Required Skills & Experience
· Extensive experience building and maintaining production ETL/ELT pipelines
· Strong experience with Python and SQL
· Experience with AWS data technologies including Redshift, Glue, Lambda, and S3
· Experience with orchestration tools such as Airflow
· Experience designing scalable data warehouse architectures and enterprise data models
· Strong understanding of distributed data systems and database architecture
· Experience supporting batch, streaming, CDC, and event-driven data pipelines
· Experience implementing data governance frameworks and RBAC controls
· Strong software engineering fundamentals and backend systems experience
· Ability to lead technical direction and influence stakeholders across teams
Desired Skills & Experience
· Experience supporting machine learning or LLM-based production systems
· Familiarity with agent orchestration frameworks such as LangGraph
· Experience partnering with Data Science teams to operationalize data products
· Experience introducing AI-enabled workflows into production environments
· Experience with automation, observability, and modern data platform tooling
What You Will Be Doing Tech Breakdown
· 35% Data Architecture & Strategy
· 35% Data Engineering & Pipeline Development
· 20% Technical Leadership & Cross-Functional Collaboration
· 10% AI, Automation & Platform Innovation
Daily Responsibilities
· 65% Hands On Engineering
· 20% Architecture & Technical Leadership
· 15% Team Collaboration & Stakeholder Engagement
The Offer
• Competitive base salary + bonus potential
You will receive the following benefits:
· Medical Insurance
· Dental Benefits
· Vision Benefits
· 401(k) with company match
· Paid Time Off (PTO)
· Paid Holidays
· Wellness Programs
· Employee Assistance Program (EAP)
· Fully Remote Work Environment (US-Based)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
