Data Engineer

We are seeking a mid-level Data Engineer to join a platform engineering team. This role is responsible for the foundational systems and data-ingestion capabilities supporting a large-scale enterprise data platform. The position involves designing, building, and supporting data pipelines that connect a wide variety of upstream sources to cloud-based data platforms. This role is suited for an engineer with Python and cloud data experience who is comfortable working across ingestion, transformation, platform maintenance, and production support., * Design, build, test, and maintain reliable data-ingestion pipelines.

• Move data from varied upstream systems into AWS- and Snowflake-based environments.
• Develop and maintain Python-based data processing and integration workflows.
• Build, schedule, and monitor data pipelines using Apache Airflow.
• Troubleshoot pipeline failures, data-quality issues, and production platform problems.
• Support the ongoing maintenance and reliability of the broader data platform.
• Collaborate with data engineers, software engineers, platform engineers, and infrastructure or SRE partners.
• Help develop reusable ingestion patterns for commonly used source technologies.
• Contribute to event-driven and streaming ingestion initiatives when applicable.
• Document pipeline configurations, dependencies, operational processes, and support procedures.

• Approximately 3-5 years of professional data engineering or closely related experience.
• Strong programming experience with Python.
• Hands-on experience building or supporting data pipelines in AWS.
• Practical experience working with Snowflake.
• Experience developing and orchestrating workflows using Apache Airflow.
• Demonstrated understanding of data-ingestion, transformation, and integration concepts.
• Experience moving data between source systems and cloud-based data platforms.
• Ability to troubleshoot and support production data workflows.
• Strong communication and collaboration skills.
• Ability to work onsite approximately two days per week.

Preferred Qualifications

• Experience with Kafka or comparable streaming and event-driven technologies.
• Experience designing or supporting event-based data-ingestion architectures.
• Familiarity with PostgreSQL or other relational data sources.
• Experience building configurable, reusable, or self-service ingestion capabilities.
• Exposure to enterprise-scale data-platform environments.
• Familiarity with site reliability, cloud infrastructure, or platform-support practices.
• Experience partnering with software engineering teams that need to make application data available for reporting, analytics, dashboards, or downstream use.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

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