Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Houston, TX, with a contract length of unspecified duration and a pay rate commensurate with experience. Key skills include Microsoft D365, Power Platform, SQL, Azure Data Factory, and AI/ML expertise.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
712
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πŸ—“οΈ - Date discovered
September 24, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Houston, TX
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🧠 - Skills detailed
#Power Automate #Airflow #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #MS D365 (Microsoft Dynamics 365) #Cloud #Synapse #Dataverse #ADF (Azure Data Factory) #Data Pipeline #Apache Airflow #Python #ML (Machine Learning) #Compliance #Computer Science #Azure Data Factory #SQL (Structured Query Language) #Data Orchestration #Data Engineering #Azure #Data Architecture #Automation #Data Quality #Data Lifecycle #Data Governance #Security #Databricks #Databases #Microsoft Power BI #Scala #Strategy #BI (Business Intelligence) #Documentation #DataOps #GCP (Google Cloud Platform)
Role description
Responsibilities Kforce has a client in Houston, TX that is seeking a seasoned Data Engineer with deep expertise in Microsoft Dynamics 365 (D365), the Power Platform, and enterprise data lifecycle management. This role will focus on designing and implementing scalable data solutions, with a strong emphasis on purging, archiving, supporting data retention policies, and delivering impactful reporting through Power BI. Responsibilities: β€’ Design and implement robust data pipelines and ETL processes using Microsoft technologies β€’ Integrate data from Microsoft D365 with other enterprise systems and databases β€’ Develop and maintain Power Platform solutions (Power BI, Power Automate, Power Apps) β€’ Build and optimize Power BI dashboards and reports β€’ Apply AI/ML techniques to improve data quality, detect anomalies, and forecast trends β€’ Collaborate with stakeholders to understand data requirements β€’ Ensure data governance, security, and compliance β€’ Document data architecture, processes, and workflows β€’ Champion the use of AI and automation to streamline data operations β€’ Identify opportunities for intelligent automation across reporting and integration workflows β€’ Lead initiatives embedding machine learning into business processes β€’ Align data engineering efforts with the company's AI-first strategy β€’ Design and implement data purging strategies in Dataverse and D365 F&O β€’ Develop archiving frameworks using Microsoft tools β€’ Support and enforce data retention policies β€’ Utilize Dataverse APIs and Power Platform connectors for automation β€’ Implement machine learning models for data pattern analysis β€’ Support historical reporting using Databricks and GCP β€’ Monitor system performance and manage data volumes β€’ Ensure compliance with governance and security standards β€’ Maintain documentation and audit trails Requirements β€’ Bachelor's degree in Computer Science, Information Systems, or related field β€’ 6-8 years of experience in data engineering or related roles β€’ Strong experience with Microsoft D365 data structures and APIs β€’ Proficiency in Power Platform tools (Power BI, Power Automate, Power Apps) β€’ Experience building Power BI dashboards and data models β€’ Experience with SQL, Azure Data Factory, and Microsoft cloud services β€’ Hands-on experience with AI/ML tools (e.g., Azure ML, Python) β€’ Experience with Databricks and GCP for historical reporting β€’ Familiarity with data governance and compliance standards β€’ Experience with Azure Synapse, Dataverse, and Common Data Service β€’ Knowledge of CI/CD pipelines and DataOps practices β€’ Experience with Microsoft Purview or similar governance tools β€’ Experience with automated data orchestration tools (e.g., Azure Data Factory, Apache Airflow) β€’ Exposure to MLOps practices β€’ Strong problem-solving and communication skills β€’ Ability to work cross-functionally with business, IT, and analytics teams The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking β€œApply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.