Senior Data Engineer
Description
Ness is a full lifecycle digital engineering firm offering digital advisory through scaled engineering services. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. As your tech partner, we help engineer your company’s future with cloud and data. For more information, visit www.ness.com
We are problem-solvers, architects, strategists, implementors, and lifelong learners. We collaborate with each other and with our clients to help them meet their short- and long-term technology goals. Our culture is open, transparent, challenging, and fun.
We hire smart, self-starters who thrive in an open-ended environment to figure out what needs to be done and take ownership in delivering quality results
Sr. Data Engineer
Boston, MA (3-4 days onsite a week)
Job Description:
We are looking for a Senior Data Engineer with added emphasis on data analysis and Salesforce knowledge, which would be a nice-to-have. We are looking for someone who has excellent problem-solving and debugging skills, a keen eye for detail, and a high level of commitment and motivation. The ideal candidate should be capable of working independently and collaboratively, taking the lead. Effective communication with management and stakeholders about issues, incidents, and updates in a timely manner is also paramount. Further, this would require the Engineer to work in hybrid mode, 3-4 days from office.
Key requirements for the position:
- A robust background in AWS services such as Lambda, Glue, S3, EMR, SNS, SQS, CloudWatch, Redshift, and Bedrock.
- Strong expertise in SQL and relational databases like Oracle, MySQL, and PostgreSQL.
- Familiarity with the Salesforce platform, including data models and objects.
- Proficiency in Python programming for data engineering tasks.
- Skilled in scripting for task and process automation.
- Experience with Tableau dashboards and troubleshooting.
Some of the additional good to have skills are knowledge of machine learning tooling/frameworks (such as scikit-learn or TensorFlow) and AI/LLM knowledge, particularly with foundation models, RAG, embeddings, vectors, prompt engineering, and MCP.
Why Ness
We know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.
You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression. At Ness, we treat our values of rigor, innovation, and partnership with the highest priority, and they are placed at the very core of our business — to guide us through our daily operations and interactions with our customers.
We offer our employees exciting and challenging projects across a diverse range of industries, as well as the opportunity to collaborate with a group of forward-thinking, capable partners around the globe.
Discover Ness Digital Engineering by visiting our website www.ness.com
Salary Range: 110K - 135K
* Salary will purely depend on experience, skill fitment and other factors.