Senior Data Engineer
Location
United States
Posted
11 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
This role involves designing, building, and maintaining our data architecture using various technologies.
- Design, build, and maintain data architecture using Snowflake, Azure, and Databricks
- Develop and maintain ELT/ETL workflows using Python, SQL, and Spark
- Collaborate with cross-functional teams to gather and analyze business requirements
- Ensure compliance with data privacy regulations and best practices
- Implement and manage DevOps processes to automate deployment and testing of data pipelines
- Stay current with the latest data technologies, trends, and best practices
- Work in an Agile environment to deliver high-quality solutions on time and within budget
- May work from home
Qualifications
- Master’s degree (or foreign equivalent) in Computer Science, Mathematics, Statistics or related field
- 2 years of experience in the offered position or closely related occupation
Requirements
- 2 years of cloud platform experience
- 2 years of experience with Snowflake or Databricks, Azure or AWS, and visualization tools
- Experience creating pipelines in Snowflake or Databricks
- Knowledge of the MarTech ecosystem or related
- Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
- Fluency with at least one scripting language: Python, R
- Strong knowledge of DevOps workflow, cloud-native platforms (containers, Kubernetes, serverless), version tools (Git, bitbucket), and infrastructure as code (IaC) tools (CloudFormation or Terraform)
- Experience with Data Integration tools Spark, Databricks or equivalent
- Experience in Linux and Unix shell scripting
Benefits
- 40 hours/week
- Salary range: $123,448 per year – $157,000 per year
- If offered employment must have legal right to work in U.S.
- EOE
Contact
Staffing Dept (HR) – Callaway Golf Sales Company – 2180 Rutherford Rd, Carlsbad, CA 92008 (Must reference Job Code RV0615)
DE&I and EEOC
As a purpose-led, performance driven company, we strive to foster a culture of belonging based on respect, connection, openness and authenticity. We are committed to building and maintaining a workplace that celebrates the diversity of our associates, supporting them to bring their authentic selves to work every day.
If your experience is close to what we’re looking for, please consider applying. Experience comes in many forms, skills are transferable, and passion goes a long way. We know that diverse backgrounds and experiences make for the best problem-solving and creative thinking, which is why we’re dedicated to adding new perspectives to the team and encourage everyone to apply. We look forward to learning more about you.
ARE YOU READY TO MAKE THE TURN? APPLY TODAY!
Job Requirements
- Master’s degree (or foreign equivalent) in Computer Science, Mathematics, Statistics or related field
- 2 years of experience in the offered position or closely related occupation
- 2 years of cloud platform experience
- 2 years of experience with Snowflake or Databricks, Azure or AWS, and visualization tools
- Experience creating pipelines in Snowflake or Databricks
- Knowledge of the MarTech ecosystem or related
- Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
- Fluency with at least one scripting language: Python, R
- Strong knowledge of DevOps workflow, cloud-native platforms (containers, Kubernetes, serverless), version tools (Git, bitbucket), and infrastructure as code (IaC) tools (CloudFormation or Terraform)
- Experience with Data Integration tools Spark, Databricks or equivalent
- Experience in Linux and Unix shell scripting
Benefits
- 40 hours/week
- Salary range: $123,448 per year – $157,000 per year
- If offered employment must have legal right to work in U.S.
- EOE
- Contact
- Staffing Dept (HR) – Callaway Golf Sales Company – 2180 Rutherford Rd, Carlsbad, CA 92008 (Must reference Job Code RV0615)
- DE&I and EEOC
- As a purpose-led, performance driven company, we strive to foster a culture of belonging based on respect, connection, openness and authenticity. We are committed to building and maintaining a workplace that celebrates the diversity of our associates, supporting them to bring their authentic selves to work every day.
- If your experience is close to what we’re looking for, please consider applying. Experience comes in many forms, skills are transferable, and passion goes a long way. We know that diverse backgrounds and experiences make for the best problem-solving and creative thinking, which is why we’re dedicated to adding new perspectives to the team and encourage everyone to apply. We look forward to learning more about you.
- ARE YOU READY TO MAKE THE TURN? APPLY TODAY!
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
About the Role We’re looking for a Senior Data Engineer to design, build, and optimize our data platforms so teams across the company can make fast, reliable, data-driven decisions. You’ll be a key technical leader, owning end-to-end data pipelines and modeling, and setting best ...
Senior Data Engineer
Compass GroupChartwells K12's goal is to make sure students leave the cafeteria happier and healthier than they came in, by serving food kids love to eat and creating custom dining programs. With more than 16,000 associates in 4,300 schools, ranging from large public institutions to small charter and private schools, Chartwells K12 is built on decades of food, education and operational experience driven by top culinary, nutrition, wellness, and sustainability talent. Diversity of thought and inclusion for all is what drives our success - we invite you to start your journey with us today!
The Senior Data Engineer will build new data pipelines and improve existing data structures to align with business needs. They will also monitor pipeline performance and troubleshoot data-related issues.
The Data Engineering Lead will be responsible for leading technical execution, scaling data infrastructure, and ensuring operational excellence by building highly scalable and reliable data pipelines in collaboration with the data platform team. This role involves mentoring Data Engineers and Analytics Engineers while aligning technical execution with business needs to ensure data platform security, traceability, and performance.
Sr. Data Engineer implementing data integration architecture at Fidelity & Guaranty Life Insurance Company