Sr. Data Engineer

A client is seeking a Senior Data Engineer to join their growing Data Engineering team! This person will will play a key role in shaping both
customer-facing and business-facing data products that align with their mission. Your
technical expertise and analytical acumen will contribute to designing and building
extensive data sets that impact thousands of internal users and millions of members.
Join a world-class data engineering team dedicated to advancing your skills and career
in data engineering and beyond.

Essential Functions:

-Collaborate with engineers, product managers, and data scientists to
understand data needs and develop end-to-end data pipelines, solutions, and
foundational data sets
-Design and own the data architecture for large-scale projects, making informed
decisions about design and operational trade-offs
-Build, launch, and optimize sophisticated data pipelines, data models, and
visualizations that support diverse use cases across multiple products or
domains
-Define and manage Service Level Agreements (SLAs) for all data sets within
areas of ownership
-Implement data security models based on privacy requirements, ensure
compliance with safeguards, address data quality issues, and evolve data
governance processes
-Solve complex data integration challenges using optimal ETL/ELT patterns,
frameworks, and query techniques for both structured and unstructured data
sources
-Maintain and enhance existing production processes by optimizing complex
code using advanced algorithmic concepts
-Optimize pipelines, dashboards, frameworks, and systems to streamline data
artifact development
-Mentor team members, providing and receiving actionable feedback to foster
skill growth and collaboration

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/.

- Bachelor's degree in Computer Science, Computer Engineering, or a relevant
technical field; a master's degree is preferred
- 5+ years of experience in data engineering, database engineering, business
intelligence, data warehousing, and ETL tools, working with large data sets in
the cloud
- 5+ years of experience with Python, and experience building scalable Big Data
solutions and ETL ecosystems
- Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in
Snowflake and dbt
- Hands-on experience with RDBMS such as MySQL, MS SQL Server, and
Postgres
- Familiarity with integration tools like Airflow and Automic, along with a working
knowledge of CI/CD pipelines
- Ability to deliver high standards of code quality, system reliability, and
performance
- Experience with Spark and PySpark to handle large-scale data processing and
enhance data pipeline efficiency
- Strong proficiency in Terraform is a must-have

- Masters degree

Benefit packages for this role will start on the 1st 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.