data engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Note: Only CV which are as per JD will be contacted. 
 
Job Title: Data Engineer / Senior Data Engineer 
Location : UAE - Onsite 
</h2><h3 class="jobSectionHeader">
Role Purpose</h3>
Design, develop, and maintain scalable data pipelines and modern data platforms using Microsoft Fabric and Azure ecosystem. The role involves building efficient data solutions that support analytics, reporting, and advanced data use cases across the organization.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, build, and maintain robust ETL/ELT pipelines using Azure Data Factory (ADF) and Microsoft Fabric</li><li>
Develop and optimize data workflows using PySpark and SQL</li><li>
Implement and manage Lakehouse architecture using Medallion (Bronze, Silver, Gold) layers</li><li>
Work with Azure Data Lake Storage (ADLS) and Delta Lake for efficient data storage and processing</li><li>
Integrate data from multiple sources ensuring data quality, consistency, and reliability</li><li>
Collaborate with BI developers and analysts to enable data models and reporting solutions</li><li>
Monitor, troubleshoot, and optimize data pipelines and performance issues</li><li>
Ensure data governance, security, and compliance best practices</li></ul><h3 class="jobSectionHeader">
Additional Responsibilities (Senior Data Engineer)</h3><ul><li>
Lead the design and architecture of scalable data platforms and solutions</li><li>
Define data engineering standards, best practices, and frameworks</li><li>
Mentor junior data engineers and review code for quality and performance</li><li>
Optimize large-scale data processing and improve system efficiency</li><li>
Collaborate with stakeholders to translate business requirements into technical solutions</li><li>
Drive adoption of Microsoft Fabric and modern data engineering practices across teams</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience</h3><h4 class="jobSectionHeader">
For Data Engineer (3&ndash;5 Years)</h4><ul><li>
Hands-on experience with Azure Data Factory (ADF) and ADLS</li><li>
Strong programming skills in PySpark and SQL</li><li>
Experience in building ETL pipelines and working with structured/unstructured data</li><li>
Basic understanding of Lakehouse and Medallion architecture</li><li>
Familiarity with Delta Lake concepts</li><li>
Good problem-solving and debugging skills</li></ul><h4 class="jobSectionHeader">
For Senior Data Engineer (5&ndash;10 Years)</h4><ul><li>
Extensive experience in Azure data ecosystem and Microsoft Fabric</li><li>
Strong expertise in designing end-to-end data architectures</li><li>
Deep understanding of Lakehouse, Medallion architecture, and Delta Lake</li><li>
Proven experience in handling large-scale distributed data processing</li><li>
Strong performance tuning and optimization skills</li><li>
Experience leading projects and mentoring teams</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience in Azure Databricks</li><li>
Knowledge of data modeling and data warehousing concepts</li><li>
Exposure to data governance and data quality frameworks</li><li>
Experience working in Agile environments</li></ul><h3 class="jobSectionHeader">
Soft Skills</h3><ul><li>
Strong communication and stakeholder management skills</li><li>
Analytical thinking and problem-solving mindset</li><li>
Ability to work independently and in a collaborative team environment</li></ul>
Pi3WGqPOnG</div>

Data Engineer / Senior Data Engineer

Vaiticka Solution

<div>
 
 
 Position: Senior Data Engineer
 
 
 
 
 Location: Chicago-IL (Hybrid)
 
 
 
 
 Employment: Contract
 
 
 
 
 In Person Interview
 
 
 
 
 
 
 
 Job description:
 
 
 
 Seeking a Senior Data Engineer with deep expertise in SQL, Azure and Databricks to design, optimize, and deliver scalable cloud-based data solutions supporting analytics and enterprise data platforms.
 
 
 
 
 
 
 Roles and Responsibilities &ndash;
 
 
 
 Cloud &amp; Data Platform: Develop and manage data solutions in Azure SQL Database.
 
 
 Work with Databricks (Apache Spark) to support data transformations, analytics, and large-scale data processing.
 
 
 Integrate Azure SQL with Databricks using Delta Lake, Spark SQL, and PySpark/SQL where applicable.
 
 
 Support cloud-based data architectures and hybrid data environments.
 
 
 
 
 
 Data Modelling &amp; Warehousing: Design and maintain relational and dimensional data models.
 
 
 Implement Slowly Changing Dimensions (SCD) and other data warehousing patterns.
 
 
 Support ETL/ELT processes and collaborate with data engineering teams.
 
 
 
 
 
 Collaboration &amp; Leadership: Partner with application developers, data engineers, BI teams, and stakeholders to understand data requirements.
 
 
 Provide guidance and mentoring to junior developers.
 
 
 Participate in code reviews and enforce database development standards.
 
 
 Troubleshoot production issues and provide root cause analysis.
 
 
 
 
 
 
 
 
 
 Mandatory skills
 
 
 
 10+ years of experience as a Data Engineer or similar role.
 
 
 Strong expertise in SQL Server and Azure SQL.
 
 
 Hands-on experience with Databricks and Apache Spark.
 
 
 Solid understanding of data warehousing concepts, dimensional modelling, and SCD.
 
 
 Experience working in Azure cloud environments.
 
 
 Strong analytical, problem-solving, and communication skills.
 
</div>

Data Engineer

Job Bank Recruitment Network

DATA ENGINEER &mdash; AI &amp; MODEL TRAININGJob Bank &mdash; AI Business Engine DevelopmentLocation: Remote (Pakistan) Language: Must speak Fluent EnglishSalary: Competitive &mdash; Based on Experience---About Job BankJob Bank is a UK‑focused platform helping people start recruitment and training businesses through two simple annual plans (&pound;100 &amp; &pound;200). We are now building Job Bank AI &mdash; a specialised AI system designed to help users create and scale their own recruitment or training business.Our AI ecosystem includes:<ul><li>Recruitment AI</li><li>Training &amp; Course AI</li><li>Business Builder AI</li><li>Marketing/Outreach AI</li><li>AI Assistants (Recruiter / Trainer / Business Coach / Operations)</li><li>Business Engine (AI Tool Suite)</li></ul>We are building a vertical AI platform, with deep industry‑specific intelligence &mdash; NOT a generic chatbot.This is your opportunity to become a foundational part of a fast‑growing AI product used across the UK.---Role OverviewWe are looking for a Data Engineer who can prepare, structure, clean and optimise datasets for AI fine‑tuning and retrieval systems.Your work will directly power:<ul><li>fine‑tuned recruitment models</li><li>training/course intelligence</li><li>business‑building AI</li><li>outreach and marketing AI</li><li>autonomous AI assistants</li><li>AI-driven games and simulations</li></ul>This role is crucial to the accuracy, reliability and performance of Job Bank AI.---Key ResponsibilitiesData Preparation &amp; Engineering<ul><li>Collect datasets related to recruitment, training, business planning, marketing, and operations</li><li>Clean and standardise raw data (text, CSV, JSON, documents)</li><li>Label and structure data into instruction formats for LLM training</li><li>Build datasets for fine‑tuning small/medium models</li><li>Develop evaluation datasets for model scoring</li></ul>Data Architecture &amp; Pipelines<ul><li>Build and maintain ETL pipelines for AI model ingestion</li><li>Create scalable data workflows to support training cycles</li><li>Manage datasets using tools like Pandas, PySpark or equivalent</li><li>Optimise dataset quality, consistency, and token efficiency</li></ul>Vector Databases &amp; Retrieval<ul><li>Work with embeddings and vector databases (FAISS, Chroma, Pinecone, Weaviate)</li><li>Build and maintain retrieval datasets for RAG systems</li><li>Ensure high‑quality indexing for search, scoring and assistant use</li></ul>AI Model Support<ul><li>Support AI/ML engineers during fine‑tuning cycles</li><li>Prepare domain‑specific datasets for niche models</li><li>Validate and test model outputs against evaluation sets</li><li>Assist with dataset revisions and incremental model improvements</li></ul>Collaboration<ul><li>Work with AI Engineers to support model training</li><li>Work with Full‑Stack Developers to integrate datasets into the platform</li><li>Work directly with the founder to align on roadmap and priorities</li></ul>---Technical Skills (Must Have)Data Engineering<ul><li>Data cleaning, validation, normalisation</li><li>ETL pipeline development</li><li>JSON, CSV, XML processing</li><li>Strong Python (Pandas, NumPy)</li><li>Experience with large text datasets</li><li>Dataset versioning and quality control</li></ul>AI/Data Skills<ul><li>Experience preparing datasets for LLM fine‑tuning</li><li>Understanding of instruction tuning formats</li><li>Embeddings &amp; vector stores (FAISS, Pinecone, Chroma)</li><li>RAG data preparation</li><li>Working knowledge of tokenisation and dataset optimisation</li></ul>General<ul><li>Strong attention to detail</li><li>Ability to work quickly and independently</li><li>Fluent English communication skills</li><li>Experience supporting AI development teams</li><li>Ability to think like a product-focused engineer</li></ul>---Bonus Skills (Nice to Have)<ul><li>Experience with recruitment or training datasets</li><li>Knowledge of course design or HR workflows</li><li>Familiarity with LangChain, LlamaIndex, or similar</li><li>Exposure to machine learning pipelines</li><li>Experience working with international/remote teams</li></ul>---What We Offer<ul><li>Competitive salary (based on expertise)</li><li>Long‑term role with growth potential</li><li>Work on a high‑impact AI product</li><li>A stable, ambitious product roadmap</li><li>Flexible remote working</li><li>Supportive, fast‑paced, visionary team</li><li>Opportunity to build category‑defining AI</li></ul>---Why This Role MattersYou will be the engine behind our AI intelligence. Your datasets will shape:<ul><li>how accurately the AI writes job ads</li><li>how well it scores CVs</li><li>how intelligent the business plans are</li><li>how powerful the training/courses become</li><li>how effective the assistants behave</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs100,000.00 per monthWork Location: Remote

Halan - حالا

<div>
 
 Job Overview:
 
 
 We are seeking a talented and motivated Senior Data Engineer with expertise in Scala and Python to join our data engineering team. This individual will play a key role in the design, development, and optimization of our data infrastructure and data pipelines. The ideal candidate has a passion for building scalable, high-performance systems and is eager to broaden their knowledge across the entire data engineering stack, from hardware infrastructure to project development.
 
 
 Key responsibilities:
 
 
 &bull; Collaborate with cross-functional teams to design, develop, and maintain data engineering solutions using Scala, Python, and Apache Spark.
 
 
 &bull; Implementation of new data engineering technologies, frameworks, and tools, such as HDFS, MongoDB, and PostgreSQL, to enhance performance, scalability, and efficiency.
 
 
 &bull; Understand and optimize hardware and resource consumption for data engineering projects.
 
 
 &bull; Develop a deep understanding of hardware infrastructure, including servers, clusters, and distributed systems, to ensure optimal data processing and storage.
 
 
 &bull; Design and architect high-performance, fault-tolerant, and scalable data pipelines.
 
 
 &bull; Conduct research and stay current with the latest advancements in data engineering, hardware technologies, and distributed computing paradigms.
 
 
 &bull; Mentor and guide junior team members, fostering a culture of continuous learning and skill development.
 
 
 &bull; Collaborate with stakeholders to gather requirements, propose technical solutions, and deliver high-quality data engineering projects.
 
 
 Requirements:
 
 
 &bull; 2-3 years of professional experience as a Software Engineer, with a focus on data engineering.
 
 
 &bull; Keen interest in hardware infrastructure, resource consumption optimization, and data engineering project development.
 
 
 &bull; Proven ability to work effectively in an Agile development environment and manage multiple priorities.
 
 
 &bull; Strong problem-solving, analytical thinking, communication, and collaboration skills.
 
</div>

State Farm

<div>Overview:
<div>
Being good neighbors &ndash; helping people, investing in our communities, and making the world a better place &ndash; is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!</div>
Responsibilities:

Job Overview 
The Central Claims Data product is seeking a motivated individual to join our team of experienced data engineers and designers/administrators. In addition to supporting and maintaining the claims data residing on the current platforms, this individual will have an opportunity to engage in a multi-year modernization effort focused on hosting the Enterprise Claims System (ECS) application and its associated database on the Amazon Web Services (AWS) platform. If your seeking challenging work and have a desire to research and build creative data services and solutions in support of our future direction, then please consider joining our team. 
As a Data Engineer on the team, your responsibilities will include:<ul><li>
Collaborating with peers to manage and support the claims data residing on IBM Db2 and the tooling, applications, and services leveraged to administer the data, database, and tables in the TEST and Production environments</li><li>
Engaging in the Enterprise Claim System (ECS) modernization effort, serving as a bridge between the existing data environment and the modernized environment being developed</li><li>
Contributing to the identification, development, and support of services, utilities, and tooling required to manage and maintain claims data on Aurora Postgres</li><li>
Utilizing industry-adopted languages and frameworks in coding, testing, security, DevOps, DataOps and data engineering practices</li><li>
Developing and maintaining reusable, scalable, and compliant data solutions across multiple platforms and compute environments</li><li>
Establishing business domain knowledge for existing State Farm data sources &ndash; specifically those in ET P&amp;C Claims</li><li>
Identifying and consulting on emerging technologies and critical core systems, including techniques, tools, data sources, and platforms in the data engineering field</li><li>
Exhibiting a DataOps mindset and leveraging automation to deliver quality data solutions</li><li>
Experimenting and prototyping solutions to aid in validating and informing technical direction</li></ul>
Qualifications:

We are seeking individuals who&hellip;<ul><li>
Thrive in new and/or uncertain environments&hellip;you are a self-starter with a bias towards leading and action, and capable of finding a path to move forward</li><li>
Demonstrate a growth mindset&hellip;you have a desire and passion for learning, and a willingness to enhance both your business and technical acumen</li><li>
Possess outstanding communication skills&hellip;you are eager to form new relationships, enjoy collaborating across teams, departments, and locations, and can influence others</li><li>
Previous experience (2-3 years) working as a data engineer or in a related role</li><li>
General understanding and knowledge of mainframe and relational database concepts, database performance, COBOL, JCL, Stored Procedures, and SQL</li><li>
Experience managing and supporting enterprise data on Db2, PostgreSQL, and/or Aurora Postgres</li><li>
Working knowledge of programming languages (i.e. Python) and version control tools (GitHub/GitLab)</li><li>
Experience with Data DevOps &ndash; utilizing scripts and products such as Flyway or Liquibase to automate aspects of database management</li><li>
Experience with version control, automated testing, and CI/CD pipelines to enable repeatable and efficient deployment of changes to data schemas and infrastructure</li><li>
Experience with enterprise data migrations/ modernization efforts would be a plus</li></ul><div></div><div> 
SFARM</div><div>
#LI-Hybrid</div><div>
PM22</div> 
<div></div>
Our Benefits:
<div>
Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!</div> 
<div></div><ul><li>
Potential starting salary range: $97,000 - $160,000</li><li><ul><li>
Starting salary will be based on skills, background, and experience</li><li>
High end of the range limited to applicants with significant relevant experience</li></ul></li><li>
Potential yearly incentive pay up to 18% of base salary</li></ul><div>
Work Arrangements:</div><div>
Hybrid Work Locations: Bloomington, IL-Corporate, Dunwoody, GA-Park Center, Richardson, TX-CityLine or Tempe, AZ-Marina Heights Hub locations.
</div><ul><li>Hybrid Work arrangement: A &quot;Hybrid&quot; position means selected candidates will be assigned to a facility and will spend some time working both in the office and from their home. Work arrangements could change over time based on business need.</li></ul><div>
SPONSORSHIP: Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity.</div><div> 
At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!</div><div></div><ul><li> 
Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.</li><li>
Stay Well! Focus on you and your family&rsquo;s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!</li><li>
Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.</li><li>
Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!</li><li>
Take a Little &ldquo;You&rdquo; Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!</li><li>
Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.</li><li>
Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.</li></ul><div></div><div> 
Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!</div></div>

Lead Data Engineer/Data Engineer

MANTECH

<div>MANTECH seeks a motivated, career and customer-oriented Data Engineer to join our team in Chantilly, VA. 
The Data Engineer will leverage their development skills and experience to support the successful designing, ingesting, cleansing, transformation, loading, and display of significant amounts of data. 
Responsibilities include but are not limited to:<ul><li>
Designing, implementing, and optimizing data extraction, cleansing, transformation, loading, replication/distribution, and large-scale ingest systems in a Big Data environment.</li><li>
Optimizing all stages of the data lifecycle, from initial planning to ingest through final display and beyond.</li><li>
Developing custom solutions or code to ingest and exploit new and existing data sources.</li><li>
Developing data profiling, deduping logic, and matching logic for analysis.</li><li>
Organizing and maintaining Data Layer documentation while working with data scientists to craft pipelines for AI/ML workflows.</li><li>
Collaborating with teammates, service providers, vendors, and users to develop more efficient methods.</li><li>
Effectively articulating the risks and constraints associated with software solutions based on the environment.</li></ul> 
Minimum Qualifications:<ul><li>
High School Diploma with 4+ years of relevant data engineering, software development, and/or programming experience.</li><li>
Demonstrated data analysis, parsing, and programming language experience such as Python or Java.</li><li>
Significant experience with SQL and database management.</li><li>
Experience with the full data lifecycle, from ingest through display, in a Big Data environment.</li><li>
Hands-on experience with Java-related technologies, such as JDK, J2EE, EJB, JDBC, and/or Spring.</li><li>
Experience with RESTful APIs, data pipelining systems like Apache Airflow, and performing ETL tasks in a Linux environment.</li></ul> 
Preferred Qualifications :<ul><li>
Experience deploying systems that leverage AI/ML technology.</li><li>
Experience publishing results in BI dashboards.</li><li>
Self-starter with excellent people skills able to work across teams and drive change.</li></ul> 
Clearance Requirements:<ul><li>
An active TS/SCI with Polygraph is required for this position.</li></ul> 
Physical Requirements:<ul><li>
Must be able to remain in a stationary position 50% of the time.</li><li>
Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.</li><li>
Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.</li><li>
Must be able to exchange accurate information in these situations.</li></ul></div>

Zones IT Solutions

<div>
 
 Description
 
 
 
 Company Overview:
 
 
 When it comes to IT solution providers, there are a lot of choices. But when it comes to providers with innovative and differentiating end-to-end service offerings, there&rsquo;s really only one: Zones &ndash; First Choice for IT.TM
 
 
 Zones is a Global Solution Provider of end-to-end IT solutions with an unmatched supply chain. Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud &amp; Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done. Follow Zones, LLC on Twitter @Zones, and LinkedIn and Facebook.
 
 
 Position Overview
 
 
 The Data Engineer will build and manage the end-to-end data ecosystem across pipelines, transformations, modeling, quality, and monitoring in an Azure-first environment. As the data engineer for the team, this role requires strong technical depth, full ownership, and the ability to support both operational and analytical data needs. The ideal candidate brings hands-on expertise with Azure Data Factory, Azure Databricks, Azure SQL, and integrations with APIs and Azure services, and is comfortable managing data pipelines, ensuring data quality, enabling security, and supporting Power BI datasets to deliver reliable and well-structured data to the business.
 
 
 
 What You&rsquo;ll Do As The Data Engineer
 
 
 
 Employees employed in the role of Data Engineer shall be required to apply their independent mind and demonstrate intellectual abilities in their decision-making.
 
 
 The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not intended to be a comprehensive list of the duties and responsibilities of the position, and the duties and responsibilities may change without notice.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and maintain data pipelines using Azure Data Factory for batch and incremental loads.
 </li>
 <li>
 Develop transformation workflows in Azure Databricks.
 </li>
 <li>
 Design and optimize Azure SQL schemas, tables, queries, indexes, and stored procedures.
 </li>
 <li>
 Integrate data from APIs, Logic Apps, and Function Apps, ensuring accuracy and consistency.
 </li>
 <li>
 Implement data quality, validation, and monitoring, with alerts and health checks for pipelines.
 </li>
 <li>
 Ensure data security and governance, including PII handling, access policies, and Key Vault.
 </li>
 <li>
 Collaborate with application and integration engineers on API-driven and event-driven data requirements.
 </li>
 <li>
 Support Power BI at a basic level (datasets, model optimization, refresh schedules)
 
 
 </li>
 </ul>
 
 What You Will Bring To The Team
 
 
 
 <ul>
 <li>
 Around 5 years of hands-on experience as a Data Engineer with end-to-end ownership of data pipelines and models.
 </li>
 <li>
 Strong expertise in:
 </li>
 <ul>
 <li>
 Azure Data Factory (ADF)
 </li>
 <li>
 Azure Databricks
 </li>
 <li>
 Azure SQL
 </li>
 </ul>
 <li>
 Solid understanding of ETL/ELT patterns, data modeling, and orchestration.
 </li>
 <li>
 Comfortable integrating with APIs, Logic Apps, and Function Apps.
 </li>
 <li>
 Working knowledge of Power BI datasets and refresh management.
 </li>
 <li>
 Clear communication skills and the ability to work independently and cross-functionally.
 
 </li>
 </ul>
 Zones offers a comprehensive Benefits package
 
 
 At Zones, we are committed to fostering an inclusive and diverse workplace where every team member is valued and supported. We offer life insurance, optional health insurance, EOBI, and a voluntary pension scheme in line with Company policy. Employees also enjoy additional perks such as Complimentary meals, and access to our in-house gym.
 
 
 We take pride in being an equal opportunity employer and remain dedicated to maintaining a workplace free from discrimination of any kind. If you are passionate about driving innovation in IT, sales, engineering, or operations, Zones provides a dynamic and collaborative environment to help you grow your career.
 
 
 All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
 
 
 Job Timings: 8:00 PM to 5:00 AM (Pakistan Time)
 
 
</div>

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