Bartlesville, OK30+ days ago
Legally authorized to work in the job posting country High School Diploma or GED equivalent 3 or more years of relevant experience in data engineering, analytics, or data science roles, with the ability to work independently on complex problems Hands-on experience with one major cloud; Azure, AWS or GCP Advanced Proficiency in building pipelines in Databricks (Spark, SQL, Delta Lake) Advanced Proficiency in data modeling skills such as dimensional modeling/3NF Advanced Proficiency in SQL, Python (PySpark) and distributed data processing Advanced Proficiency in Unity Catalog, Delta Live Tables, dbt on Databricks, or Photon Advanced Proficiency in BI/analytics (Power BI, Tableau) or ML feature engineering Intermediate Proficiency in Git-based workflows, CI/CD, testing strategies, and infrastructure-as-code Intermediate Proficiency in data governance, security, and privacy/PII best practices Intermediate Proficiency in event/stream processing (Kafka, Kinesis, Event Hubs) Intermediate Proficiency in cost optimization and performance tuning in Spark/Databricks. 3 or more years of hands-on experience in software or data development, including end-to-end solution delivery Experience working in cloud-based analytics environments such as Microsoft Azure or AWS Familiarity with machine learning, predictive analytics, or supporting AI-enabled solutions in a production setting Background in optimizing data pipelines, SQL queries, or analytical code for performance and scalability Prior experience supporting business teams in non-IT or operational environments, particularly within data-intensive industries Strong communication skills with the ability to explain technical concepts to diverse audiences Experience translating business needs into practical data and analytics solutions through collaboration with non-technical partners Solid understanding of data quality, governance, and best practices for working with structured data.