Certifications in Information, Data, Privacy Records or Security such as: Certified Information Privacy Professional (CIPP), Certified Information Privacy Management (CIPM), Certified Records Manager (CRM), and/or Certified Information Privacy Technologist (CIPT), Certified Information Systems Security Professional (CISSP), Information Governance Professional (IGP), Certified Information Security Manager (CISM) and Certified Information Systems Auditor (CISA.

As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.

Participate in relevant governance committees and working groups as a delegate of the Head of Technology, including the Operational Risk Committee, Technology Executive Working Group, Information Security & Data Management Committee, Architectural Review Board, AI Evaluation Forum.

The Data Governance and Data Quality Analyst will specialize in serving EY clients in the areas of Data Strategy, Data Governance, Data Quality, Data Definition and Usage, and Data Management.

Core responsibilities include managing Azure Data Factory pipelines, Data Lake storage, Databricks processing and the overall health of Datawarehouse / BI implementations while keeping a keen eye toward cost management and compliance with global data governance requirements.

2 hours to Big Sky ski resort and just over 2 hours to historic Yellowstone National Park! National Instruments Data Acquisition Hardware National Instruments LabVIEW Software. 2 hours to Big Sky ski resort and just over 2 hours to historic Yellowstone National Park.

Proficient in data engineering concepts including data modeling, data warehousing, data orchestration (e.g., Airflow), monitoring/observability, and data governance.

Expertise in Python and SQL, with working experience in Apache Spark, Databricks, or other big data systems. Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.

Regularly interact with the team to reinforce machine learning and data concepts, and guide them in the creation of product features with Generative AI, NLP, deep learning, and classical machine learning techniques.

Bachelor’s degree plus at least 7 years in a data engineering role including ETL development, database development, data integration, data mining, big data. Experience with Qlik or other data visualization administration.

Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Ensure compliance with data governance and security policies, implementing best practices in data encryption, masking, and access controls within a cloud environment.

From sprawling public art, to a robust music scene, to nature so big and beautiful, Sanford has the small-town feel while still offering something for everyone. By applying, you consent to your information being transmitted by Monster to the Employer, as data controller, through the Employer’s data processor SonicJobs.

As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered from disparate sources. Work with us to use big data for good. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, and Hive, including Spark, Hadoop, AWS EMR, or Kafka.

Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., Azure, Snowflake, AWS, GCP) Certification in relevant technologies (e.g., AWS Certified Big Data - Specialty, Microsoft Certified: Azure Data Engineer Associate.

This role will be a member of the Data Analytics & Reporting team at NFFG. The team possesses a wide range of expertise ranging from data engineering, data governance, data science, data & analytics, model development, business intelligence, and internal management and reporting capabilities.