Senior Microsoft Stack Data Engineer Job at Robert Half (Des Moines)

Senior Microsoft Stack Data Engineer

Hands-On Technical SENIOR Microsoft Stack Data Engineer / On Prem to Cloud Senio...

Location

United States , West Des Moines

Salary:

155000.00 USD / Year

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of DATA WAREHOUSE EXPERIENCE / Data Lake experience
Advanced SQL Server
Strong SQL experience, working with structured and unstructured data
Strong in SSIS ETL
Proficiency in SQL and SQL Queries
Experience with SQL Server and SQL Server
Knowledge of Data Warehousing and Data Warehousing
Data Warehouse experience: Star Schema and Fact & Dimension data warehouse structure
Experience with Azure Data Lake and Data lakes
Proficiency in ETL / SSIS and SSAS

Job Responsibility

Modernize, Build out a Data Warehouse, and Lead & Build out a Data Lake in the CLOUD
REBUILD an OnPrem data warehouse working with disparate data to structure the data for consumable reporting
ALL ASPECTS OF Data Engineering
Technical Leader of the team

What we offer

Bonus
2 1/2 day weekends
Medical, vision, dental, and life and disability insurance
401(k) plan

Fulltime

Senior Data Engineer

The Data Engineer is responsible for designing, building, and maintaining robust...

Location

Germany , Berlin

Salary:

Not provided

ib vogt GmbH

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Data Engineering, or related field
5+ years of experience in data engineering or similar roles
experience in renewable energy, engineering, or asset-heavy industries is a plus
Strong experience with modern data stack (e.g., PowerPlatform, Azure Data Factory, Databricks, Airflow, dbt, Synapse, Snowflake, BigQuery, etc.)
Proficiency in Python and SQL for data transformation and automation
Experience with APIs, message queues (Kafka, Event Hub), data streaming and knowledge of data lakehouse and data warehouse architectures
Familiarity with CI/CD pipelines, DevOps practices, and containerization (Docker, Kubernetes)
Understanding of cloud environments (preferably Microsoft Azure, PowerPlatform)
Strong analytical mindset and problem-solving attitude paired with a structured, detail-oriented, and documentation-driven work style
Team-oriented approach and excellent communication skills in English

Job Responsibility

Design, implement, and maintain efficient ETL/ELT data pipelines connecting internal systems (M365, Sharepoint, ERP, CRM, SCADA, O&M, etc.) and external data sources
Integrate structured and unstructured data from multiple sources into the central data lake / warehouse / Dataverse
Build data models and transformation workflows to support analytics, reporting, and AI/ML use cases
Implement data quality checks, validation rules, and metadata management according to the company’s data governance framework
Automate workflows, optimize performance, and ensure scalability of data pipelines and processing infrastructure
Work closely with Data Scientists, Software Engineers, and Domain Experts to deliver reliable datasets for Digital Twin and AI applications
Maintain clear documentation of data flows, schemas, and operational processes

What we offer

Competitive remuneration and motivating benefits
Opportunity to shape the data foundation of ib vogt’s digital transformation journey
Work on cutting-edge data platforms supporting real-world renewable energy assets
A truly international working environment with colleagues from all over the world
An open-minded, collaborative, dynamic, and highly motivated team

Fulltime

Data Engineer

As an Azure and Databricks Data Engineer, you will be responsible for designing,...

Location

Canada , Oshawa

Salary:

92.00 - 100.00 CAD / Hour

Morson Talent

Expiration Date

Until further notice

Requirements

Completion of a four-year University education in computer science, computer/software engineering or other relevant programs within data engineering, data analysis, artificial intelligence, or machine learning
Experience as a Data Engineer designing and building data pipelines
Fluent in creating data processing frameworks using Python, PySpark, SparkSQL and SQL
Experience with Azure Data Factory, ADLS, Synapse Analytics and Databricks
Experience building data pipelines for Data Lakehouses and Data Warehouses
Good understanding of data structures and data processing frameworks
Knowledge of data governance and data quality principles
Effective communication skills to translate technical details to non-technical stakeholders

Job Responsibility

Designing, building and supporting the data driven applications which enable innovative, customer centric digital experiences
Building reliable, supportable & performant data lake & data warehouse products
Employing best practice in development, security, and accessibility
Building and productionizing modular and scalable data ELT/ETL pipelines and data infrastructure
Building curated common data models designed by the Data Modelers
Working closely with infrastructure, and cyber teams and Senior Data Developers to ensure data is secure
Cleaning, preparing and optimizing datasets for performance
Supporting Business Intelligence Analysts in modelling data for visualization and reporting
Troubleshooting issues related to ingestion, data transformation and pipeline performance
Collaborating with Business Analysts, data scientists, Senior Data Engineers, data Data Analysts and, solution Architects and Data Modelers

Fulltime

Senior Data Engineer

Microsoft Cloud Operations + Innovation (CO+I) is the engine that powers Microso...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years’ experience in business analytics, data science, data modeling, or data engineering work
OR master’s degree in computer science, Math, Software Engineering, Computer Engineering, or related field and 3+ years’ experience in business analytics, data science, data modeling, or data engineering work
Ability to meet Microsoft, customer and/or government security screening requirements
8+ years of experience in data engineering with coding and debugging skills in C#, Python, and/or SQL
Deploying solutions in Azure Services & Managing Azure Subscriptions
Understanding and knowledge about big data and writing queries with Kusto/KQL
Understanding and knowledge about extracting data via REST APIs
Strong analytical skills with a systematic and structured approach to software design
5+ years of experience in data science, analytics, or machine learning
4+ years of experience in developing solutions with Microsoft Power Platform, including Power BI, Fabric, Power Automate & M365 Dataverse

Job Responsibility

Apply modification techniques to transform raw data into compatible formats for downstream systems
Utilize software and computing tools to ensure data quality and completeness
Implement code to extract and validate raw data from upstream sources, ensuring accuracy and reliability
Writes efficient, readable, extensible code from scratch that spans multiple features/solutions
Develops technical expertise in proper modeling, coding, and/or debugging techniques such as locating, isolating, and resolving errors and/or defects
Leverages technical proficiency of big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, continuous integration and continuous delivery (CI/CD), Docker, Delta Lake, MLflow, AML, and representational state transfer (REST) application programming interface (API) consumption/development
Acquires data necessary for successful completion of the project plan
Proactively detects changes and communicates to senior leaders
Develops usable data sets for modeling purposes
Contributes to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices

Fulltime

Senior Data and Application Engineer

The Senior Data and Application Engineer will participate and provide engineerin...

Location

United States , St. Inigoes

Salary:

150000.00 - 225000.00 USD / Year

KAIROS Inc

Expiration Date

Until further notice

Requirements

Expert level experience in DoD NIPR, SIPR, and/or JWICS platform engineering processes
Databricks, Foundry, Qlik, Tableau, Python, SQL, PySpark, Databricks, and other data, software, and application development capabilities
Excellent project management skills, with the ability to manage cross-functional teams
Strong communication and interpersonal skills, capable of leading technical discussions and driving alignment across teams
Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex technical issues in a fast-paced environment
Strong customer relations, analytics, documentation skills
Self-starter, highly motivated, strong work ethic with a commitment to quality
Microsoft office suite proficiency, i.e., Word, Excel, PowerPoint
Ability to work within a challenging, fast-paced, team-oriented environment
Ability to work independently

Job Responsibility

Data and application engineering using existing enterprise architecture: Provide data engineering, data automation, and automated data mapping capabilities that will be used to power a series of software applications
Provide application engineering support necessary to deliver enterprise applications and required data analytics to achieve customer decision advantage
Deliver secure, scalable, and modular platform architecture that is optimized for DoD enterprise data automation, AI model deployment, and continuous feature updates across a global network of priority data platforms and/or customer-owned systems
Drive process standardization and platform improvements based on data analytics, performance metrics, and industry best practices
Technology Leadership: Lead multi-disciplinary hardware, software, AI, and data engineering teams focused on delivering capabilities and features described on the latest KAIROS EPAD technology roadmap
Recommend and implement cutting-edge technologies and methodologies to improve KAIROS data automation processes and platform capabilities
Process Optimization and Automation: Identify areas for process improvement, focusing on automation powered by optimized software applications and data automation capabilities across all KAIROS technology stack components
Continuously innovate new software application data engineering, and AI capabilities focused on delivering a seamless, secure, scalable, and cost-effective suite of KAIROS software and data automation products
Cross-Functional Collaboration: Collaborate with engineering, manufacturing, and product teams to ensure successful design and implementation of enterprise platform and data-automation solutions across various applications
Work closely with supply chain and operations teams to ensure material availability, cost efficiency, and process sustainability

What we offer

Medical Coverage
Employer Paid Dental, Vision, Basic Life/AD&D, Short-Term/Long-Term Insurance
Health Savings Account with Contribution by Employer
401K Plan with Employer Matching
Annual Discretionary Bonuses
Paid Time Off
Eleven (11) Paid Holidays
Certification reimbursement program
Tuition Reimbursement Program
Paid Parental Leave

Fulltime

Consultant - Data & AI

Microsoft Industry Solutions - Global Center for Innovation and Delivery Center ...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

4 - 10 years of experience
Bachelor's degree in computer science engineering or equivalent work experience
Higher relevant education is preferred
Knowledge of solution design, planning, development and deployment of complex solutions
One or more of the following certifications, or an equivalent industry certification is a plus: Microsoft Certified: Azure Data Engineer Associate (DP-600) / Microsoft Certified: Azure AI Engineer Associate (AI102) / Microsoft Certified: Azure Solution Architect Expert (AZ-305)
Core Data Engineering & Platform Skills
Hands-on experience in Data Engineering across cloud, on-prem, and hybrid environments
Strong foundational experience with Azure Data Services and data platform modernization initiatives
Handson exposure to Data Warehouse and analytics using platforms like Microsoft Fabric, and Azure Synapse Analytics
Azure Databricks is a plus

Job Responsibility

Works as an Individual contributor and key member of the Data and AI team and helps in timely execution of assigned deliverables with accurate estimates, work priorities, and accommodates project changes and trade-offs necessary for a successful release
Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners
Works to accelerate the value proposition of customer/partner engagements by helping to design, develop, and deploy solutions on Microsoft technologies and methodologies
Contributes to the overall efficacy and quality of a project team’s technical delivery within assigned engagements
Defines dependencies and risks that go beyond the immediate scope and timeframe for a complex project
Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations
Drives opportunities to expand or accelerate the adoption and consumption of cloud and Microsoft technologies
Collaborates, as appropriate, with peers and other teams (e.g., Sales, account-aligned team) to scale the business with existing high-stake or strategic customers, by articulating/developing value propositions of strategic Microsoft products and services
Align with innovation and digital transformation initiatives
Ensures the use of existing intellectual property (IP) and delivers value to customers

Fulltime

Consultant - Data & AI

Microsoft Industry Solutions - Global Center for Innovation and Delivery Center ...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

4 - 6 years of experience
Bachelor's degree in computer science engineering or equivalent work experience. Higher relevant education is preferred.
Knowledge of solution design, planning, development and deployment of complex solutions
One or more of the following certifications, or an equivalent industry certification is a plus: Microsoft Certified: Azure Data Engineer Associate (DP-600) / Microsoft Certified: Azure AI Engineer Associate (AI102) / Microsoft Certified: Azure Solution Architect Expert (AZ-305)
Core Data Engineering & Platform Skills
Hands-on experience in Data Engineering across cloud, on-prem, and hybrid environments
Strong foundational experience with Azure Data Services and data platform modernization initiatives
Handson exposure to Data Warehouse and analytics using platforms like Microsoft Fabric, and Azure Synapse Analytics
Azure Databricks is a plus
Experience/knowledge of one or more SQL and NoSQL database systems

Job Responsibility

Works as an Individual contributor and key member of the Data and AI team and helps in timely execution of assigned deliverables with accurate estimates, work priorities, and accommodates project changes and trade-offs necessary for a successful release.
Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners.
Works to accelerate the value proposition of customer/partner engagements by helping to design, develop, and deploy solutions on Microsoft technologies and methodologies.
Contributes to the overall efficacy and quality of a project team’s technical delivery within assigned engagements.
Defines dependencies and risks that go beyond the immediate scope and timeframe for a complex project. Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations.
Drives opportunities to expand or accelerate the adoption and consumption of cloud and Microsoft technologies. Collaborates, as appropriate, with peers and other teams (e.g., Sales, account-aligned team) to scale the business with existing high-stake or strategic customers, by articulating/developing value propositions of strategic Microsoft products and services.
Align with innovation and digital transformation initiatives. Ensures the use of existing intellectual property (IP) and delivers value to customers.
Responsible for implementing the technology strategy with support from Senior peers
Applies information-compliance and assurance policies to ensure stakeholder confidence.
Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities.

Fulltime

Head of Cloud Engineering

You'll own the technical vision and delivery of our core platforms. Build world-...

Location

United Kingdom , London

Salary:

Not provided

CloserStill Media

Expiration Date

Until further notice

Requirements

Senior engineering leadership experience (Head of Engineering, Engineering Manager level)
Proven track record building data platforms for analytics and AI/ML
Deep Microsoft Azure expertise
Hands-on experience with Databricks, APIs, and integration platforms
Strong understanding of MLOps and productionizing machine learning
Experience leading and scaling engineering teams
Tech stack: Azure, Databricks, Python, PySpark, SQL, JavaScript, Node, Bash

Job Responsibility

Define and own the technical vision and roadmap for CloserStill's core data, AI, and integration platforms
Architect scalable, secure, and resilient cloud-native solutions using Microsoft Azure
Lead development of a unified data platform supporting business intelligence, analytics, AI/ML workloads, and real-time operational use cases
Design and evolve an API-first integration platform enabling internal teams and external partners to build and integrate services efficiently
Lead implementation and optimisation of data pipelines for data engineering, analytics, and machine learning
Implement best practices for MLOps, including model deployment, monitoring, versioning, and lifecycle management
Partner closely with data science and analytics teams to ensure platforms enable experimentation and production-grade AI
Build, lead, and mentor high-performing engineering teams across data platform and integration domains
Set engineering standards for code quality, security, reliability, and performance
Champion DevOps and CI/CD practices to ensure fast, safe, and repeatable delivery

Fulltime

Senior Microsoft Stack Data Engineer

Robert Half

Location:
United States , Des Moines

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 06, 2026

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