Salary
💰 $170,000 - $200,000 per year
Tech Stack
AzureCloudETLPythonSparkTerraform
About the role
- Responsible for delivery of data engineering work (ingestion, conditioning and publishing) aligned with published standards (ingestion, conditioning).
- Data pipeline development and data integration.
- Write QA notebook(s) for all engineering work to be checked by CX Insights QA personnel, aligned with published policy.
- Align engineering work with published performance and monitoring of data pipeline standards.
- Remediation of data pipelines.
- Comply with all Data Quality and governance standards.
- Documentation for Data Products
- Assist in reducing technical debt related to the items listed above.
- Coordinate with/provide feedback to architects for architectural solutions.
- Development of Proof of Concepts
- Documentation within the ticket for short-term work delivery adjustments including quality notebooks.
- Quickly Respond to Feature Requests from customers.
- Troubleshoot, resolve, properly capture in systems of record customer reported bugs.
Requirements
- Bachelor’s degree in engineering, Computer Science, Systems, Business or related scientific/technical discipline
- 12+ years of experience in IT, with at least 5 years in cloud architecture roles.
- Proven expertise in Azure (e.g., Data Lakehouse, Synapse, Data Factory).
- Extensive hands-on experience with Databricks
- Strong understanding and practical application of Medallion Architecture in data lakehouse environments.
- Solid knowledge of data modeling, ETL/ELT processes, and big data technologies.
- Proficiency in Python and Spark.
- Experience with CI/CD pipelines, Infrastructure as Code (e.g., Terraform, ARM templates).
- Strong communication and leadership skills.
- Employee Assistance Program (EAP)
- Corporate Discounts
- Learning & Development platform, to include certification preparation content
- Training, Education and Certification Assistance*
- Referral Bonus Program
- Internal Mobility Program
- Pet Insurance
- Flexible Work Environment
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata pipeline developmentdata integrationQA notebooksdata qualitydata governanceproof of conceptsdata modelingETLELT
Soft skills
communicationleadership