Sr. Data Engineer
Direct Hire- Hybrid 3 days on-site and 2 days remote
Location:  Worcester County. MA

US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor (or transfer) H1B candidates at this time. If you need sponsorship now or in the future (OPT, STEM,) our client is not able to provide sponsorship.

Summary:

Do you think in Python and speak in SQL? Do you appreciate a good data model as much as a masterpiece in a museum? Are you energized by solving complex problems and leading technical innovation, all while having fun? Do you thrive in a collaborative environment and enjoy mentoring others? Do you strive for simplicity and elegance in your solutions, even when building at scale?

Senior Data Engineer to join our agile Data Engineering team, building sophisticated data products for advanced data consumers. As a Senior Data Engineer, you’ll architect and deliver high-impact solutions using modern tools and technologies, work closely with data architects and stakeholders, and help transform us into a truly data-driven organization.

Responsibilities:

Architect and implement scalable, secure data solutions using cloud and big data technologies.
Lead the design and development of advanced ETL processes and data models.
Integrate systems and technologies across cloud and on-premise platforms.
Troubleshoot and resolve complex data pipeline issues, ensuring data quality and integrity.
Collaborate with stakeholders to translate business requirements into technical solutions.
Mentor and guide junior engineers, fostering a collaborative learning environment.
Continuously monitor system performance and implement improvements.
Identify opportunities for automation and optimization within data pipelines.
Develop and maintain technical documentation and code standards.
Lead delivery of data solutions following SRE and TDD practices.

Experience and Qualifications:

Bachelor’s Degree in Computer Science or related field, with 6+ years of experience in data engineering.
Advanced knowledge and hands-on experience with:
Programming: Python, PySpark, Spark
Workflow & Orchestration: Airflow, Jenkins, Terraform, Jira, Bitbucket
Cloud Platforms: AWS (Athena, EMR Studio), Snowflake
Database Architectures: SQL, NoSQL, graph databases
Data Modeling & ETL Tools: Informatica Power Center, multidimensional modeling
Data Query & Transformation: Jupyter notebooks, AWS Athena
Operating Systems: Linux, MS Windows
Code IDEs: Microsoft Visual Studio Code, Jupyter notebooks
Experience with algorithm analysis and collaborating with Data Scientists.
Strong understanding of quantitative and fact-based data storage.
Exposure to artificial intelligence, machine learning, and deep learning is a plus.