We are seeking a highly skilled Tenant-to-Tenant Migration Specialist who is a Quest-certified expert to support ongoing Microsoft 365 tenant-to-tenant migration initiatives. This contractor role focuses on designing, executing, and supporting complex migrations using Quest migration tools, ensuring secure, efficient, and low-impact transitions for end users and business operations. Key Responsibilities Tenant-to-Tenant Migration Delivery • Lead and execute Microsoft 365 tenant-to-tenant migrations, including Exchange Online, OneDrive, SharePoint Online, and Microsoft Teams. • Design migration approaches that minimize business disruption while maintaining security and compliance. Quest Tool Expertise • Serve as a subject matter expert in Quest tenant migration tools. • Perform migration planning, assessments, coexistence setup, and post-migration validation. Planning, Validation & Risk Management • Develop migration runbooks, schedules, and cutover plans. • Conduct pre-migration readiness checks and post-migration validation. • Identify risks, dependencies, and mitigation strategies and resolve migration issues as they arise. Collaboration & Documentation • Collaborate with project managers, engineers, and stakeholders. • Provide concise technical documentation, status updates, and transition materials.

Role Description We are implementing a strict Medallion Architecture to organize petabytes of industrial data. This role is for a Data Engineer who excels at transforming raw chaos into structured, queryable assets. You will build and maintain the ELT pipelines that move data from "Bronze" (Raw) to "Silver" (Cleaned) and "Gold" (Aggregated). You will work with Delta Lake (On-prem/Databricks), Polars, and Airflow to ensure data quality and availability for Data Scientists and the Knowledge Graph. What You’ll Do - Pipeline Development: Develop and maintain robust Airflow DAGs to orchestrate complex data transformations. - Data Transformation: Use Spark (when scale requires) and Polars to clean, enrich, and aggregate data according to business logic. - Architecture Implementation: Enforce the Medallion Architecture patterns, ensuring clear separation of concerns between data layers. - Performance Tuning: Optimize processing workflows (Polars/Spark) jobs and SQL queries to reduce costs and execution time; make intelligent decisions on when to use Polars vs. Spark. - Deployment & Operations: Manage code deployment to on-prem and cloud infrastructure, including containerization and environment configuration. - Data Quality: Implement comprehensive data validation checks and quality gates between medallion layers. - Data Cataloging: Maintain the metadata and catalog entries to ensure all data assets are discoverable and documented. The Technology Stack - Orchestration: Apache Airflow. - Data Processing: Polars (primary for ETL), PySpark/SQL (for massive scale). - Compute: Single-node workers (Polars), Databricks/Spark clusters (when scale requires). - Storage: Delta Lake, Parquet, S3/Blob Storage, MinIO. - Language: Python 3.12+ (w/ Polars), SQL. Qualifications - Complete Bachelor's degree in Computer Science, Engineering, or related. - 3+ years of experience in Data Engineering. - Strong proficiency in Apache Airflow and Databricks. - Experience implementing Medallion/Delta Lake architectures. - Strong SQL and Python skills. - Advanced English communication skills. Requirements - Experience with Unity Catalog or other governance tools. - Familiarity with dbt (data build tool). - Background in processing telemetry or sensor data. Benefits - Compensation is competitive and commensurate with experience. Company Description Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Hello and thank you for your interest! We're looking for folks nationwide who are great at data entry and typing. We offer a flexible work from home remote position that allows you to stay home with the family! The pay range is flexible from $16/ph to $30/ph DOE and level of experience. You'll meet these requirements to work from home remotely • Stable Internet connection • Work can be done using the following: Phone device, laptap or computer • Must be able to type accurately with a minimum speed of 30 words per minute • Able to focus on tasks without being distracted • Must be resident of the US • Not afraid of emailing clients as needed We're looking for folks who we can depend on who can work from home remotely without distraction and are go-getters. Pay range from 16 to 30 hourly depending on the role, level of experience and proven ability to work from home at the same level as from an office. Data entry clerks come from all different backgrounds including, data entry, telemarketing, customer service, sales, clerical, secretary, administrative assistant, warehouse, inventory, receptionist, call center, part-time, retail fields & more • Must be 16 year of age or older • Must be proficient with basic PC skills • Must have an internet connection • Basic english written language • Basic english spoken language Thank you for your interest!

Lead and mentor a data engineering team, oversee data migration strategies, design scalable data pipelines, and collaborate with stakeholders to align data initiatives with business objectives, ensuring robust software solutions.