Insight Global is seeking a 100% remote Sr. Data Engineer for our jewelry insurance client. This candidate will be responsible for creating and maintaining data pipelines, data integrations, and data products; technical pipeline development and improvement efforts. Essential duties and responsibilities include:
Design, build and maintain scalable data pipelines and data products
Collaborate with other Data, BI and Test engineers to review design, code and test plan
Work with team to ensure defined standards are being followed
Utilize CI/CD framework from data pipelines
Work across different teams to resolve operational and performance issues
Creates technical documentation and data flow diagrams
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.
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https://insightglobal.com/workforce-privacy-policy/ .
Bachelors Degree in science, technology, or another related field
3+ years of data engineering experience
3+ years of experience with Cloud platforms like GCP, Azure, Airflow
4+ years of data warehouse, relational database, and SQL experience
4+ years of supporting ETL process and job scheduling experience
3+ years of Business Intelligence solution, reports, and dashboards experience
Strong programming experience in Python
Development experience with Airflow
Experience in developing data solutions in Microsoft Azure Cloud services including Blob Storage, Data Factory, AKS, Azure Cloud Database, Data Bricks
Knowledge of Google Cloud Platform, Cloud Composer, Docker, Windows, SQL and Google Big Query
Development experience with cloud database technologies (RedShift, Big Query, Snowflake, etc.)
Experience with developing real time data processing
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.