Oracle Data Entry Jobs in Arizona (NOW HIRING)

Job Summary:
SteerBridge Strategies is a modern technology company delivering innovative solutions to the U.S. Government and private sector. They are seeking a highly skilled Data Engineer II to support the F-35 AI/ML Spares Project, focusing on building and maintaining AWS-based ETL/ELT pipelines and collaborating with data scientists and analysts.
Responsibilities:
• Lead end-to-end data pipeline operations — design, develop, and maintain robust ETL/ELT pipelines on AWS (AWS Glue, Amazon Redshift, Amazon S3) using modern orchestration tools such as Apache Airflow, dbt, or Prefect.
• Use Azure Databricks (Spark) and Azure Data Factory to manage and schedule data pipelines and workflows.
• Build and optimize data models in cloud data warehouses (Snowflake, BigQuery, or Redshift); maintain data in S3 buckets and Blob storage.
• Integrate data from diverse sources including REST/SOAP APIs, event streams (Kafka), relational and non-relational databases, and SaaS platforms.
• Create, index, query, and update SQL tables/servers; run and update Python and/or JavaScript code to parse data.
• Monitor pipeline health, enforce data quality controls (schema validation, null checks, duplicate detection), troubleshoot data issues, and implement alerting and observability best practices.
• Develop and implement data acquisition, quality assurance, and management protocols; document all data collection, cleaning, and analyses for internal and external users.
• Use schedulers and APIs to obtain near real-time data; automate workflows and processes using Python or other scripting languages.
• Partner with data scientists and analysts to deliver clean, well-documented datasets and data products; collaborate with and support the data science team to produce deliverables.
• Contribute to data governance standards including lineage, cataloging, and access controls.
• Mentor and collaborate with Marines at the squadron level to improve data entry and indexing practices.
• Assist with maintenance and development of internal analytics data architecture.
• Design, write, and disseminate innovative and visually appealing reports for diverse audiences.
• Participate in code reviews, architecture discussions, and cross-functional planning sessions.
• Evaluate and recommend new tools and technologies to improve the data platform.
Qualifications:
Required:
• 3–5 years of professional experience in data engineering or a closely related role.
• Bachelor's Degree in Computer Science or related field; three (3) years of additional relevant experience may substitute for education (minimum six years total experience without degree).
• U.S. Citizenship required.
• Active security clearance or the ability to obtain one is required.
• Strong proficiency in Python (PySpark, pandas) and SQL for data processing and pipeline development; SQL fluency including CTEs, window functions, and complex joins.
• Hands-on experience with at least one cloud data warehouse (Snowflake, BigQuery, or Redshift).
• Experience configuring or monitoring data pipelines in cloud platforms (AWS preferred; Oracle, Azure, Google also considered).
• Familiarity with analytics deployment architectures including Python, containerized Docker, and Kubernetes.
• Experience with Spark/Databricks for streaming data analytics, with preferred experience in graph data, machine learning, and AI applications.
• Experience using Azure Data Factory to schedule pipelines and manage data flows.
• Ability to connect and work with APIs (REST, SOAP, HTTP methods).
• Experience with workflow orchestration tools such as Apache Airflow, dbt, or Prefect.
• Solid understanding of data modeling concepts: star schema, data vault, medallion architecture, data lineage, and source-to-target mapping.
• Familiarity with data visualization tools including Tableau, Power BI, Elasticsearch/Kibana, R, or Alteryx.
• Experience with version control (Git), CI/CD practices, and production deployment workflows.
• Experience integrating data; familiarity with cleaning, merging, standardizing, documenting, and securing data.
• Strong communication skills with the ability to translate technical concepts for non-technical and operational stakeholders.
• Ability to develop relationships with collaborators, program providers, community partners, and military personnel.
• Able to successfully prioritize and manage multiple critical projects simultaneously with a high degree of accuracy.
• Experience working on applied data projects involving diverse organizations to collect, analyze, and interpret data.
Preferred:
• AWS Professional or Specialty Certification, or the ability to obtain one (highly preferred).
• Experience supporting DoD and/or VA missions.
• At least two (2) years using SQL professionally, with proficiency in R or Python.
• Cloud project experience using AWS, Google, Oracle, and/or Azure.
• Experience with ML/NLP/AI including Neural Networks and Supervised/Unsupervised algorithms for anomaly detection, forecasting, and modeling.
• Experience with streaming data technologies such as Apache Kafka or AWS Kinesis.
• Proficiency in HTTP Methods, Postman development/testing of REST and/or SOAP APIs, and CRUD actions.
• Familiarity with data catalog and lineage tools such as DataHub, Alation, or Monte Carlo.
• Knowledge of infrastructure-as-code tools such as Terraform or Pulumi.
• Exposure to ML pipelines and feature stores.
• Demonstrated high proficiency in statistical analysis software: Power BI, Tableau, Elasticsearch/Kibana, Alteryx, Python, or R.
• Deep understanding of data quality issues with applied experience in quality assurance.
• Proficiency in each phase of the software development lifecycle.
• Master's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience).
• Excellent writing, presentation, and research design skills; track record of communicating complex concepts to diverse audiences.
Company:
SteerBridge specializes in providing professional services and cutting-edge solutions to the U.S. Government and corporate clients. Founded in 2011, the company is headquartered in Vienna, USA, with a team of 51-200 employees. The company is currently Growth Stage.