Job Description Responsibilities:  Serve as the primary contact for data pipelines, supporting the operational implementation of Data Science and analytical models.  Engineer solutions using serverless technology for optimal performance.  Develop and adapt analytics solution engineering strategies and requirements.  Perform DevOps tasks and orchestrate data marts and analytical processes.  Monitor, secure, and track data usage and analytic product performance.  Collaborate with internal teams to deliver accurate, accessible API services.  Ensure compliance with security, documentation, governance, and standards.  Manage a reporting layer to provide insights into model performance and impact.  Identify potential issues based on trend projections. Day to Day: One of Insight Global clients is looking for a Data Engineer to come join their team. This individual will be responsible for attending daily stand-up meetings to discuss projects, roadblocks, and priorities. They will check in on the status of overnight data pipeline runs and address any issues to ensure data integrity. The engineer will integrate new data sources into the data warehouse, collaborating with analysts and stakeholders to meet data requirements. They will also be responsible for performing data cleaning and transformation using tools like SQL and Python. Other responsibilities will include meeting with data scientists to support upcoming projects. They will also design and implement data models, optimize database performance, and build scalable data pipelines using cloud platforms. While document data processes and infrastructure changes. Additionally, they will respond to ad-hoc data requests, provide insights for decision-making, and tune data system performance. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .     To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Skills and Requirements 3+yearsofexperienceindesigning,developingand implementing Data Sciencesolutions.  Experience working with big data technologies (pyspark)  Advanced programming experience in python  Experience working with Airflow to build data pipelines  Advanced database skills (MSSql, Oracle, Postgres)  Familiarity with Kubernetes  Experience with Linux  Bachelors Degree in related field Experience working for a financial company  Masters degree in related field null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.