Data Engineer

We can consider candidates who are U.S. Citizens, Green Card holders, or H-1B visa holders. The role requires working onsite three days per week in the Boston Area (2 location options).

• Job Description
• A leading organization is seeking a Data Engineer to support the development, maintenance, and optimization of enterprise data solutions that enable analytics, reporting, and data-driven decision-making. This position will work closely with data engineering, analytics, product, and business teams to deliver reliable and scalable data pipelines, support data platform initiatives, and contribute to ongoing modernization efforts.
• The ideal candidate has strong SQL expertise, experience working with enterprise data warehouses such as Snowflake, and a solid foundation in data engineering principles. Exposure to large-scale data migration initiatives, particularly data warehouse modernization efforts, is highly valued.
• Responsibilities
• Build, maintain, and enhance data pipelines that support analytics, reporting, and enterprise data products.
• Develop and optimize SQL-based processes for data extraction, transformation, validation, and delivery.
• Implement data quality controls, monitoring processes, and validation routines to ensure reliable data availability.
• Support pipeline automation, job scheduling, and troubleshooting activities across data environments.
• Collaborate with engineering, analytics, product, and business stakeholders to understand requirements and deliver scalable data solutions.
• Assist with data warehouse modernization and migration initiatives.
• Document data assets, metadata, pipeline workflows, and technical processes according to established standards.
• Participate in code reviews, testing activities, and deployment processes.
• Investigate and resolve data issues, escalating risks and technical challenges when appropriate.
• Contribute to continuous improvement initiatives related to data engineering practices and platform operations.
• Required Experience and Skills
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related quantitative field.
• 2 to 4 years of experience in data engineering, analytics engineering, database development, data development, or a related technical discipline.
• Strong SQL skills with experience writing complex queries for data extraction, transformation, and analysis.
• Experience working with enterprise data warehouse platforms such as Snowflake.
• Working knowledge of Python or another programming language used for data processing and automation.
• Understanding of data pipeline concepts, including ingestion, transformation, orchestration, scheduling, and monitoring.
• Exposure to cloud-based data environments.
• Familiarity with data quality processes, validation frameworks, metadata management, data lineage, and access controls.
• Basic understanding of data modeling concepts, including fact tables, dimension tables, relationships, and analytical data structures.
• Experience using source control tools such as Git.
• Ability to work within Agile or iterative development environments.
• Strong analytical, problem-solving, and organizational skills.
• Excellent written and verbal communication skills.
• Ability to collaborate effectively with both technical and business stakeholders.
• Preferred Experience and Skills
• Experience supporting large-scale data migration or data warehouse modernization initiatives.
• Familiarity with Snowflake implementation, optimization, or migration projects.
• Experience with Spark, PySpark, or distributed data processing technologies.
• Familiarity with orchestration tools such as Apache Airflow, Azure Data Factory, or similar platforms.
• Exposure to cloud platforms including Azure, AWS, or Google Cloud.
• Master’s degree in Computer Science or a related quantitative field.
• Demonstrated interest in expanding expertise within modern data engineering and cloud data platforms.