Senior Data Engineer (Only 14+years)

Title: Senior Data Engineer Only candidates with a minimum of 14 years of experience will be considered for this role. Location: Boston, MA (Hybrid – 3–4 days onsite) Duration: Long-term Contract Pay Rate: Open, DOE (W2 or C2C) Client Industry: Financial Services Skills Required: AWS (Glue, Lambda, SNS/SQS, CloudWatch) | Python / Scala | SQL / Redshift | Spark | Snowflake | ETL/ELT | CI/CD | Financial Data Systems | Performance Tuning | Documentation Job Description We are seeking an experienced Senior Data Engineer with strong financial domain expertise and a proven track record of designing and implementing cloud-based big data solutions. This hybrid role offers an opportunity to work on large-scale, data-driven transformation projects within the financial services sector. Key Responsibilities: • Design, build, and maintain enterprise-grade big data and analytics solutions on AWS. • Develop and optimize ETL/ELT pipelines using Spark, Snowflake, and Redshift. • Write scalable and maintainable code in Python and/or Scala. • Implement CI/CD pipelines and automation for data workflows. • Monitor and optimize data processes using AWS CloudWatch and related tools. • Provide production support, performance tuning, and maintain technical documentation. • Collaborate with cross-functional teams to align data architecture with business goals. If you’re a data engineering professional passionate about innovation, scalability, and performance optimization in the cloud, this role offers the opportunity to make a measurable impact. Staffworxs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.