Azure Dev Ops / ML Ops engineer

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BEHAVIORALLY, Inc. is seeking an Azure Dev Ops / ML Ops engineer to implement best-in-class DevOps practices in a fast-paced environment. The position requires expertise in Azure, MLOps, and machine learning model deployment.

Lead Data Analyst

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Title: Lead Data Analyst Location: Beaverton, OR Duration: 6 Month Contract Become a Part of the NIKE, Inc. Team NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game. What You Will Do: Seeking a Lead Data Analyst to join our data team. In this role, you will lead the generation of reports, datasets, and data visualizations to provide actionable insights to stakeholders across the business. • Develop and generate recurring reports, dashboards, and ad-hoc analyses using SQL, Python, R, Tableau, etc. to surface insights. • Mine, cleanse, and curate data from multiple sources (databases, data warehouses, etc.). • Create and document SQL queries, scripts, visualizations, and data models. • Identify and implement opportunities to improve data quality, efficiency, and analytics. • Clearly communicate insights through presentations, reports, and visualization best practices. • Manage technical projects and lead a team of junior analysts. What You Will Need: • 7+ years proven work experience in Data Analyst or Business Data Analyst role. • Strong Experience in SQL and a scripting language such as Python or R. • Strong problem solving and analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. • Experience with data warehouses/RDBMS like Snowflake & Teradata. • Experience working with BI tools like Tableau, Power BI or DOMO. • Strong understanding of data modeling and analytical algorithms (including forecasting and modeling). • Experience working in AWS environment primarily EMR, S3, Redshift, Athena, etc preferred. • Good understanding of Hadoop and Big Data processing frameworks. • Experience with source control tools such as GitHub. • Ability to cleanse, curate, and manipulate data; as well as visualize and story-telling the results of an analysis. • Proven experience and ability to deliver results on multiple projects in a fast-paced agile environment. • Self-starter, highly organized and result oriented; and should be able to work with minimal direction.

Principal Data Engineer *Virtual*

Apr 30, 2025

Providence is seeking a Principal Data Engineer to provide expertise in a cloud-based environment, focusing on Snowflake and Azure technologies. This role involves mentoring other data engineers and delivering high-quality data solutions.