Data Engineer/Python/SQL
Philadelphia, PA
Onsite
Direct Hire
$90k - $100k
A forward-thinking company is seeking a Data Engineer to join their dynamic team. This full-time role offers the opportunity to design, build, and optimize data pipelines that power critical business insights and analytics. If you’re passionate about working with cloud technologies, big data tools, and scalable systems, this is your chance to make a real impact.
You’ll collaborate with data scientists, analysts, and software engineers to develop robust data solutions that drive efficiency and innovation across the organization. This is an excellent opportunity for someone who enjoys solving complex data problems and wants to grow their career in a fast-paced, tech-focused environment. Required Skills & Experience
· 3+ years experience in data engineering or related fields
· Proficiency with Python and SQL for data processing and ETL tasks
· Experience in Apache Airflow, Spark, or similar
· AWS, Azure, or GCP
· Strong knowledge of data warehousing concepts and database design
· Ability to work cross-functionally and communicate technical concepts clearly Desired Skills & Experience
Docker, Kubernetes
Hadoop, Kafka, Redshift
Data modeling, schema design
DevOps, CI/CD pipelines
Machine learning pipelines, MLOps What You Will Be Doing
Tech Breakdown
· 50% Designing and building scalable data pipelines
· 30% Collaborating with analytics and engineering teams
· 20% Monitoring, optimizing, and troubleshooting data workflows
Daily Responsibilities
· Writing clean, efficient code to extract, transform, and load data
· Developing data architecture and storage solutions
· Ensuring data quality, reliability, and accessibility
· Supporting data-driven decision making across business units The Offer
• Competitive salary based on experience
• Comprehensive benefits package including health insurance and paid time off
• Opportunities for career growth and professional development
• Collaborative and innovative work environment Applicants must be authorized to work in the U.S. on a full-time basis.
You’ll collaborate with data scientists, analysts, and software engineers to develop robust data solutions that drive efficiency and innovation across the organization. This is an excellent opportunity for someone who enjoys solving complex data problems and wants to grow their career in a fast-paced, tech-focused environment. Required Skills & Experience
· 3+ years experience in data engineering or related fields
· Proficiency with Python and SQL for data processing and ETL tasks
· Experience in Apache Airflow, Spark, or similar
· AWS, Azure, or GCP
· Strong knowledge of data warehousing concepts and database design
· Ability to work cross-functionally and communicate technical concepts clearly Desired Skills & Experience
Docker, Kubernetes
Hadoop, Kafka, Redshift
Data modeling, schema design
DevOps, CI/CD pipelines
Machine learning pipelines, MLOps What You Will Be Doing
Tech Breakdown
· 50% Designing and building scalable data pipelines
· 30% Collaborating with analytics and engineering teams
· 20% Monitoring, optimizing, and troubleshooting data workflows
Daily Responsibilities
· Writing clean, efficient code to extract, transform, and load data
· Developing data architecture and storage solutions
· Ensuring data quality, reliability, and accessibility
· Supporting data-driven decision making across business units The Offer
• Competitive salary based on experience
• Comprehensive benefits package including health insurance and paid time off
• Opportunities for career growth and professional development
• Collaborative and innovative work environment Applicants must be authorized to work in the U.S. on a full-time basis.