Senior Enterprise Applications Engineer

Job Overview

Senior Enterprise Applications Engineer – Enterprise Finance Technology team. Drives data architecture, pipelines, and enterprise applications to support financial consolidation, planning, forecasting, and reporting.

Compensation includes a base salary of $92,300.00 – $. The base salary may vary based on location and experience. Additional incentive programs may also apply.

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Snowflake, AWS, dbt, Informatica, and relational databases.
• Integrate enterprise financial applications with data warehouses, relational databases (Postgre
  
  SQL, MySQL, SQL Server), and BI platforms.
• Implement automated data quality checks, regression testing, validation frameworks, and anomaly monitoring.
• Plan, manage, and deliver small to medium‑sized projects end‑to‑end including requirement gathering, solution design, development, testing, deployment, documentation, and post‑implementation support.
• Support dashboard and reporting development using Power BI, Tableau, or similar tools; lead enhancements to improve financial processes.
• Leverage AI‑assisted tools (Claude, Git Hub Copilot, Snowflake Cortex, M365 Copilot) to accelerate development, validation, and analysis.
• Partner with finance and analytics teams to identify challenges, design data solutions, and recommend process, technology, and interface improvements.
• Stay current on emerging data technologies, AI/ML, CPM platform innovations, and best practices.
• Mentor junior team members, contribute to Agile planning, and deliver on projects with minimal oversight.

• Bachelor’s degree in a related discipline and a minimum of 4+ years of experience in data engineering, business intelligence, or enterprise analytics.
• 4+ years of hands‑on experience in data engineering and enterprise analytics across multiple functional areas.
• Advanced SQL proficiency with experience in data integration tools such as MS SQL Developer, dbt, or Informatica.
• Strong experience with Snowflake data modeling, schemas, and storage techniques.
• Experience designing, developing, and implementing scalable data pipelines in cloud environments (AWS, Snowflake).
• Proficiency with ETL/ELT patterns, data warehousing concepts, and data orchestration tools.
• Experience with relational databases (SQL, MySQL, Postgre
  
  SQL) and BI platforms (Power BI, Tableau).
• Experience with data quality tools and application lifecycle methodologies (waterfall, agile, iterative).
• Demonstrated project management experience with complex system implementations.
• Experience with Git and AI‑related tools such as Git Hub Copilot and Snowflake Cortex.
• Excellent analytical, problem‑solving, and communication skills and ability to present technical concepts to non‑technical stakeholders.

• Experience with AI/ML frameworks (Tensor Flow, PyTorch, Scikit‑learn) for data transformation and predictive modeling.
• Familiarity with data orchestration tools such as Apache Airflow, dbt, or Dagster.
• Hands‑on experience with cloud‑native data platforms (Snowflake, AWS Redshift, Azure Synapse).
• Knowledge of data governance and metadata management best practices.
• Experience integrating external data sources and APIs into enterprise ecosystems.
• Strong understanding of CI/CD pipelines and Dev Ops practices for data engineering.
• Experience in Agile environments for sprint planning and backlog grooming.
• Exposure to real‑time data streaming technologies (Kafka, Kinesis) is a plus.

Applicants must clear a pre‑employment drug test.

Eligible employees may take as much vacation with pay as desired, have seven paid holidays, up to 160 hours of paid wellness annually, and additional paid time off for bereavement, voting, jury duty, volunteer, military, and parental leave. Health care insurance, retirement planning, and other standard benefits are also offered.

Cox is an Equal Employment Opportunity employer – All qualified applicants/employees will receive consideration for employment without regard to that individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.