Data Engineer | Python Developer
Location: Warrendale - Hybrid (3 days in the office/2 remote) - Must be local - please do not apply if you are not in the immedate area.
NO C2C - NO 3rd Party Agencies
Job Description:
We are seeking a skilled Data Engineer/Python Developer with expertise in building and optimizing data solutions on cloud platforms. The ideal candidate will have strong experience in the following:
- Databricks and Apache Spark for data processing and analytics.
- Python programming for scripting and automation.
- Azure Data Factory (ADF) for data integration and pipeline creation.
- Experience working with cloud databases (e.g., Azure SQL, AWS RDS, Google BigQuery, or similar).
Responsibilities :
- Design, develop, and maintain scalable data pipelines and workflows.
- Optimize large datasets for performance and reliability.
- Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
- Implement best practices for data security and compliance.
Preferred Skills :
- Proficiency in cloud platforms (Azure, AWS, or Google Cloud).
- Knowledge of distributed systems and big data frameworks.
Benefits PEAK's benefit offerings available for our associates include medical, dental, vision, Flexible Spending Account (FSA), Dependent Care Savings Account (DCA), and 401K plan.
PEAK believes that taking care of our team is essential for success and we are proud to provide benefits that enhance both your well-being and your future.
Additionally, our associates may be eligible for Paid Sick Leave as required by Federal, State, or local laws.
Equal Opportunity Employer (EEO) PEAK Technical Staffing is committed to creating a diverse and inclusive environment and is proud to be an Equal Opportunity Employer. PEAK does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status, or any other characteristic protected by applicable law. All employment decisions are made based on qualifications, merit, and business need. We encourage all individuals to apply.
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