Data Engineer - Azure Job at Rackspace

Azure Data Engineer

Join AlgebraIT, a premier IT consulting firm in Austin, Texas! We are looking fo...

Location

United States , Austin

Salary:

Not provided

AlgebraIT

Expiration Date

Until further notice

Requirements

Minimum of 3 years of relevant experience
Bachelor’s degree in Computer Science or a related field
3+ years of experience in data engineering
Proficiency in Azure services (e.g., Data Lake, Databricks, Synapse)
Strong knowledge of Python, SQL, and data modeling
Excellent problem-solving skills and attention to detail

Job Responsibility

Design, develop, and maintain data pipelines using Azure Data Factory and other Azure services
Collaborate with data scientists and analysts to support data initiatives
Ensure the reliability, availability, and performance of the data infrastructure
Optimize data flow and pipeline architecture
Implement best practices for data security and governance
Monitor data pipelines and troubleshoot issues as needed
Develop and maintain data integration solutions
Document data processes and workflows
Stay up-to-date with Azure technology advancements
Provide support for data-related technical issues

Fulltime

Azure Data Engineer

As an Azure Data Engineer, you will be expected to design, implement, and manage...

Location

India , Hyderabad / Bangalore

Salary:

Not provided

Quadrant Technologies

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Technology, or a related field
Hands-on experience in writing complex T-SQL queries and stored procedures
Good experience in data integration and database development
Proficiency in T-SQL and Spark SQL/PySpark. (Synapse/ Databricks)
Extensive experience with Azure Data Factory
Excellent problem-solving skills and attention to detail
5 – 8 years experience
Proven track record of writing complex SQL stored procedures with implementing OTLP database solutions (using Microsoft SQL Server)
Experience with Azure Synapse / PySpark / Azure Databricks for big data processing
Expertise in T-SQL, Dynamic SQL, Spark SQL, and ability to write complex stored procedures

Job Responsibility

Collaborate with cross-functional teams to gather, analyze, and document business requirements for data integration projects
Write complex stored procedures to support data transformation and to implement business validation logic
Develop and maintain robust data pipelines using Azure Data Factory ensuring seamless data flow between systems
Work closely with the team to ensure data quality, integrity, and accuracy across all systems
Contribute to the enhancement and optimization of OLTP systems

Fulltime

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

Senior Azure Data Engineer

Seeking a Lead AI DevOps Engineer to oversee design and delivery of advanced AI/...

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

At least 6 years of professional experience in the Data & Analytics area
1+ years of experience (or acting as) in the Senior Consultant or above role with a strong focus on data solutions build in Azure and Databricks/Synapse/(MS Fabric is nice to have)
Proven experience in Azure cloud-based infrastructure, Databricks and one of SQL implementation (e.g., Oracle, T-SQL, MySQL, etc.)
Proficiency in programming languages such as SQL, Python, PySpark is essential (R or Scala nice to have)
Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders
Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps)
Experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support
Knowledge of data management principles and best practices, including data governance, data quality, and data integration
Good project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines
Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues

Job Responsibility

Act as a senior member of the Data Science & AI Competency Center, AI Engineering team, guiding delivery and coordinating workstreams
Develop and execute a cloud data strategy aligned with organizational goals
Lead data integration efforts, including ETL processes, to ensure seamless data flow
Implement security measures and compliance standards in cloud environments
Continuously monitor and optimize data solutions for cost-efficiency
Establish and enforce data governance and quality standards
Leverage Azure services, as well as tools like dbt and Databricks, for efficient data pipelines and analytics solutions
Work with cross-functional teams to understand requirements and provide data solutions
Maintain comprehensive documentation for data architecture and solutions
Mentor junior team members in cloud data architecture best practices

What we offer

Stable employment
“Office as an option” model
Workation
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support

Azure Data Engineer

At LeverX, we have had the privilege of delivering over 1,500 projects for vario...

Location

Uzbekistan, Georgia

Salary:

Not provided

LeverX

Expiration Date

Until further notice

Requirements

5+ years of experience as a Data Engineer with strong expertise in Azure services (e.g., Azure Data Factory, Azure SQL Database, Azure Synapse, Microsoft Fabric, and Azure Cosmos DB
Advanced SQL skills, including complex query development, optimization, and troubleshooting
Strong knowledge of indexing, partitioning, and query execution plans to ensure scalability and performance
Proven expertise in database modeling, schema design, and normalization/denormalization strategies
Ability to design and optimize data architectures to support both transactional and analytical workloads
Proficiency in at least one programming language such as Python, C#, or Scala
Strong background in cloud-based data storage and processing (e.g., Azure Data Lake, Databricks, or equivalent) and data warehouse platforms (e.g., Snowflake)
English B2+

Job Responsibility

Design, develop, and maintain efficient and scalable data architectures and workflows
Build and optimize SQL-based solutions for data transformation, extraction, and loading (ETL) processes
Collaborate closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective solutions
Manage and optimize data storage platforms, including databases, data lakes, and data warehouses
Troubleshoot and resolve data-related issues, ensuring accuracy, integrity, and performance across all systems

What we offer

Projects in different domains: healthcare, manufacturing, e-commerce, fintech, etc
Projects for every taste: Startup products, enterprise solutions, research & development initiatives, and projects at the crossroads of SAP and the latest web technologies
Global clients based in Europe and the US, including Fortune 500 companies
Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
Healthy work atmosphere: On average, our employees stay with the company for 4+ years
Market-based compensation and regular performance reviews
Internal expert communities and courses
Perks to support your growth and well-being

Azure Data Engineer

Job Description: Designs, modifies, and builds new and scalable data processes. ...

Location

United States , Kennesaw

Salary:

Not provided

CPC Technologies

Expiration Date

Until further notice

Requirements

6 - 8 years’ of experience on developing data solutions in Python using Spark framework
Ability to perform root cause analysis and identify performance bottlenecks in Spark Jobs
Expert in Data Engineering and building data pipelines, implementing Algorithms in a distributed environment
Ability to design and develop parallel processing data platform in PySpark
Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues
Strong Proficiency in SQL
Cloud knowledge especially Azure
Collaborates with stakeholders, IT, database engineers and other scientists
Hands-on knowledge in Azure Synapse and Azure Data Factory is a plus

Job Responsibility

Designs, modifies, and builds new and scalable data processes

Fulltime

Azure Data Engineer

As an Azure Data Engineer, you will design and maintain scalable data pipelines ...

Location

Salary:

Not provided

ACI Infotech

Expiration Date

Until further notice

Requirements

3–5 years of experience as a Data Engineer with Azure ecosystem
Strong skills in SQL, Databricks, and Python
Hands-on experience with Azure Data Factory (ADF)
Power BI experience preferred
Familiarity with Delta Lake and/or Azure Synapse is a plus

Job Responsibility

Develop, manage, and optimize ADF pipelines
Design and implement Databricks notebooks for ETL processes
Write and optimize SQL scripts for large-scale datasets
Collaborate with BI teams to support dashboard and reporting solutions
Ensure data quality, security, and compliance with governance policies

Fulltime