161 results for Data Engineer Jobs in Boston, MA, US

W2 Only role.Data Engineer (Must have Databricks) Need Mid level (3-5Yrs) Location : North Quincy MA – Hybrid Onsite Key Skill: Strong Databricks, AWS, Apache Spark, SQL, Scala/Python, Hadoop Skill Sets RequiredGood decision-making and problem solving skillsSolid understanding of Databricks fundamen...

Responsibilities include creating new data pipelines, orchestrating data pipelines using Azure Data Factory, developing/enhancing data transformations for data ingestion, performing unit testing, coordinating integration testing, and configuring compute and performance tuning.

What We're All About.It isn't often you get to be part of a tech company that, since 2016, has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping tackle serious criminal activity. Now, its potential is virtually limitless. Working at Qua...

At AstraZeneca, we win through the science, it is at the heart of our every success. Every decision is rooted in the limitless possibilities of what science can do. We push the boundaries of science to deliver life-changing medicines. This purpose underpins everything we do. It gives us a reason to ...

What We're Looking ForAt HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth,...

Experience Remote done Right. With over 20 years of remote experience, all 500+ staff are 100% remote, and we still grow vibrant relationships and provide exceptional opportunities for career growth while working with stellar clients on ambitious projects.What we're working on:Enterprise companies t...

Lead collaboration with Agile teams to design, develop, and implement technical solutions, focusing on full-stack development, machine learning, and cloud-based solutions. Conduct unit tests and code reviews, ensuring high-quality, performant code.

Collaborate with stakeholders to understand data requirements, analyze data sources, and design scalable data pipelines. Implement ETL processes using Python, SQL, and AWS. Develop and maintain a data warehouse, automate reporting, and document technical specifications.

Design, develop, and maintain data and ETL platforms. Responsibilities include architecting and optimizing ETL pipelines, developing enterprise data models and database architectures, and resolving performance bottlenecks across ETL and database operations.

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity.Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and ...