Data Engineer
Location
United States
Posted
14 days ago
Salary
Not specified
No structured requirement data.
Job Description
Job Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
- Minimum 1-4 years of relevant experience in data engineering, software engineering, or analytics.
- Strong SQL and Python proficiency.
- Experience working in cloud data platforms (e.g., Azure Synapse, Snowflake, BigQuery, Databricks, Microsoft Fabric). Azure data stack highly preferred.
- Experience with analytics and BI platforms (PowerBI or similar).
- Strong background in relational databases, ETL tools, scripting languages (Powershell or similar).
- Proficiency with Git or other collaborative development workflows (e.g., pull requests, code reviews), working in an agile development environment.
- Experience with orchestration tools like Apache Airflow, Prefect, or Azure Data Factory for managing complex data workflows preferred.
- Demonstrated ability to build processes that support data transformation, structures, accuracy checking, and workload management.
- Understanding of statistical data modeling and supporting infrastructure preferred.
- Strong communication and stakeholder management skills, with the ability to translate business needs into technical solutions.
- A passion for data, curiosity for solving complex problems, and a drive to create business impact through technology.
- Experience in the e-commerce, marketing or digital health sectors is a big plus.
Benefits
- Compensation: $105,000 - 140,000
- Discretionary Annual Bonus Eligibility: Up to 10%
- Medical, Dental, Vision, and 401K with a company match.
- Dependent Care, FSA & HSA accounts.
- Paid Parental & Bonding Leave.
- Flexible PTO & office closure on all major holidays.
- Monthly wellness & internet reimbursements.
- Professional development including certification support & leadership coaching.
- Mental Health resources.
- 100% remote within the United States.
- Must be able to work EST hours.
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