Data Engineer

This contingent Software Engineer 4 role supports complex software engineering and data engineering initiatives at scale. The engineer will analyze multi-faceted technical challenges, design and optimize data pipelines, and collaborate cross-functionally on enterprise data processing systems. The position requires strong database expertise, SQL/PLSQL proficiency, cloud platform experience, and familiarity with large-scale data engineering tools such as Spark, Hadoop, or Kafka. The engineer will work on high-impact efforts involving data ingestion, ETL pipelines, performance tuning, and automation while ensuring best practices in compliance, governance, and engineering quality. Day-to-Day Responsibilities:

• Develop, optimize, and maintain data pipelines, ETL workflows, and processing frameworks.
• Write and optimize complex SQL/PLSQL queries for relational databases.
• Build backend data components using Python or Java.
• Manage and process Parquet files in cloud object storage (S3).
• Work with both relational and NoSQL databases across systems.
• Use big-data tools including Apache Spark, Hadoop, Kafka.
• Perform performance tuning, including report automation and query optimization.
• Participate in Agile ceremonies: backlog grooming, sprint planning, daily standups.
• Apply AI/ML concepts where appropriate in data workflows.
• Work with cloud platforms (AWS, Google Cloud Platform, Azure) for data processing and pipeline orchestration.
• Collaborate with engineering, product, and data teams on requirements and solution design.
• Support multi-faceted, large-scale engineering initiatives requiring deep analysis and cross-functional coordination.

• 5+ years of Software Engineering experience (or equivalent through work, consulting, military, training, or education).
• Strong Data Engineering experience with ETL, pipelines, and large-scale data processing.
• Proficiency in SQL & PLSQL, strong relational DB experience.
• Experience with Python or Java for backend/data workflows.
• Big data tech experience (Apache Spark, Hadoop, Kafka).Plusses:
• Experience working with Parquet files in S3 and cloud object storage.
• Familiarity with NoSQL databases.
• Hands-on performance tuning + automation (including report automation).
• Experience with AI / machine learning concepts.
• Experience with AWS, Google Cloud Platform, or Azure.
• Proven experience working in Agile environments (grooming, planning, standups).Job Summary

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join 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 ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click for more details.