Data Engineer

Data Engineer (Snowflake / dbt / Databricks) Apex Systems is looking for a Data Engineer to join an enterprise data team. The team is moving to a modern data stack while also running several large modernization efforts and shutting down legacy platforms. You'll own day-to-day pipeline development and support, and help build out new tools as the team adopts dbt, Dagster, and Databricks. This role is a great fit for an engineer who communicates well, works with urgency, and takes pride in quality work. Build, maintain, and support ELT/ETL pipelines that move data from source applications into Snowflake for reporting and analytics. Develop reusable datasets and transformations using dbt, Databricks, and Spark as the team adopts these tools. Configure and support scheduled workflows using JAMS, Dagster, or similar orchestration tools. Use Azure DevOps CI/CD practices to develop, test, and deploy data pipelines. Build data-quality checks for completeness, accuracy, freshness, and schema changes. Troubleshoot production issues, take part in on-call support, and document fixes to prevent repeat problems. Work with data modelers, DBAs, architects, analysts, and business stakeholders to turn requirements into maintainable solutions. Maintain documentation, including data flows, transformation logic, dependencies, and support guides. Take part in code reviews, agile ceremonies, and knowledge sharing with the team.3+ years of experience in data engineering, analytics engineering, or a related field. Hands-on production experience with Snowflake. Advanced Python and SQL.Experience with Azure DevOps for CI/CD, including source control, pull requests, and automated deployments. Experience designing and operating scalable batch or streaming data pipelines. Strong understanding of data warehouse, data lake, lakehouse, and dimensional modeling concepts. Strong communication and collaboration skills, a sense of urgency, and a commitment to quality work. Snowflake certification (SnowPro).Hands-on experience building with dbt, Dagster, and/or Databricks. SSIS and/or SSAS experience. Experience with JAMS or another enterprise scheduler, such as Control-M or Autosys. Experience with legacy ETL migration or platform modernization, such as moving off Informatica or SSIS.Experience with Grafana or similar monitoring tools. Experience using AI-assisted development tools. You'll work on meaningful modernization work at a large enterprise, gain hands-on experience with a modern data stack, and be supported by a dedicated Apex team throughout your assignment. 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 Clearly Rateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.