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 pipelines30% Collaborating with analytics and engineering teams20% Monitoring, optimizing, and troubleshooting data workflowsDaily Responsibilities
Writing clean, efficient code to extract, transform, and load dataDeveloping data architecture and storage solutionsEnsuring data quality, reliability, and accessibilitySupporting data-driven decision making across business units The OfferCompetitive salary based on experienceComprehensive benefits package including health insurance and paid time offOpportunities for career growth and professional developmentCollaborative and innovative work environment Applicants must be authorized to work in the U.S. on a full-time basis.