Senior Data Engineer
Procurement Sciences AI
AirflowAmazon RedshiftBigQueryKafkaPythonSQL
Data Engineer
The Krazy Coupon Lady
full-time
Posted on:
Location Type: Remote
Location: Remote • Colorado, Florida, Idaho, Illinois, Iowa, Minnesota, New Jersey, New York, North Carolina, Ohio, Pennsylvania, South Carolina, South Dakota, Texas, Utah, Virginia, Wisconsin • 🇺🇸 United States
Visit company websiteSalary
💰 $120,000 - $135,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AirflowAWSCloudETLPythonSQL
About the role
- Build and maintain data pipelines: Develop scalable ETL/ELT processes that power business-critical analytics and applications.
- Optimize our data infrastructure: Improve the performance and reliability of our data warehouse and processing workflows.
- Collaborate across teams: Partner with data scientists, analysts, and engineers to understand requirements and deliver usable datasets.
- Ensure data quality: Monitor data health, implement testing and validation processes, and support our governance standards.
- Contribute to team growth: Document your work, share learnings, and help us raise the bar on data engineering practices.
Requirements
- 3–6 years of experience in a data engineering or similar role.
- Proficiency in SQL, Python, and data pipeline tools like Airflow.
- Hands-on experience with cloud platforms (preferably AWS), and familiarity with cloud-native data services.
- Comfort with BI tools (we use Looker, but experience with others is fine too).
- A working knowledge of database optimization, data modeling, and system monitoring.
- A collaborative mindset and a drive to solve problems proactively.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETLELTSQLPythondata pipeline toolsdatabase optimizationdata modelingsystem monitoring
Soft skills
collaborative mindsetproblem-solvingcommunicationdocumentation
