REMOTE Data Engineer
Englewood, Colorado
Employer: Insight Global
Industry: Software Engineering
Salary: Competitive
Job type: Part-Time
A large telecommunications client headquartered in Charlotte NC is looking for a REMOTE Data Engineer to join their growing Data Platforms team. This team handles anywhere from a billion to a trillion bits of data on any given day. They are responsible for the ETL process of all of this data to ensure its usability for both internal and external users. Some external users are large enterprise clients. This person will be responsible for 80% development / project based work. You will play a crucial role in developing and maintaining data processing software, including databases. Your responsibilities will involve creating and optimizing data pipelines, collaborating with stakeholders, and ensuring data infrastructure meets business needs.
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/ .
Required Skills & Experience
4-6 years of experience as a Software Engineer or Data Engineer.
Proficiency in Scala or Python scripting for developing and optimizing data pipelines
Hands-on experience with Apache Spark.
Strong understanding of ETL development to ensure data quality, reliability, and consistency.
Knowledge of AWS services, such as EC2 and S3 for scalable data storage and computation.
Familiarity with Terraform and/or Kubernetes for managing and integrating infrastructure components
Nice to Have Skills & Experience
Enterprise experience
SQL
Spark Streaming
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.
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/ .
Required Skills & Experience
4-6 years of experience as a Software Engineer or Data Engineer.
Proficiency in Scala or Python scripting for developing and optimizing data pipelines
Hands-on experience with Apache Spark.
Strong understanding of ETL development to ensure data quality, reliability, and consistency.
Knowledge of AWS services, such as EC2 and S3 for scalable data storage and computation.
Familiarity with Terraform and/or Kubernetes for managing and integrating infrastructure components
Nice to Have Skills & Experience
Enterprise experience
SQL
Spark Streaming
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.
Created: 2024-05-09
Reference: 356339
Country: United States
State: Colorado
City: Englewood
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