ranggaaprilio/Job-linked-test huggingface dataset:
Job Title: Senior Data Engineer
Company: CSA
Location: Virginia Beach, VA, US
Description:
Description:

Client Solution Architects (CSA) is currently seeking a Senior Data Engineer to support a Navy Customer in a remote capacity.

  

For nearly 50 years, CSA has delivered integrated technology and operational support services to meet the defense and federal sector's most complex enterprise needs. Working from operations centers and shipyards to training sites and program offices, CSA deploys experienced teams, innovative tools and proven processes to advance federal missions.

**How Role will make an impact:**

  

* The Senior Data Engineer shall be responsible for the implementation of Data Infrastructure, Data\-as\-a\-Service and Data
* best practices.
* This shall include data governance, standardization and consolidation across the USNCC eLearning Ecosystem.
* Lead a team of Data Scientists to lead Data Analysis, Business Intelligence, Machine Learning, and other predictive analytics efforts.
* Responsible for managing and maintaining Data Quality efforts to include, Accuracy, Completeness, Timeliness and Consistency.


Requirements:
**How to join our award winning team:**

  

* Bachelor’s Degree in Computer Science, IT, Engineering or related field
* 10 years of experience in Database/Administration/Development

**What Sets you apart:**

* Data Migration Experience
* Salesforce Experience
* Deploying IT Solutions across multiple organizations
* Prior Navy Experience
Job Title: Senior Data Engineer
Company: Piper Companies
Location: Remote, US
Description:
**Piper Companies** is seeking a **Senior Data Engineer** to join one of the nation’s leading transportation logistics firms. The **Senior Data Engineer** will focus on data engineering within the logistics and parcel space, emphasizing Databricks and Azure experience, with some legacy experience in SAP data services.

 **Responsibilities of the Senior Data Engineer include:**

* Utilize Databricks for data processing and analytics.
* Implement and maintain a governance framework.
* Support the AI team by understanding and integrating AI components.
* Develop and manage ML Ops processes.
* Use Azure Data Factory (ADF) for data integration and orchestration.

**Q****ualifications for the Senior Data Engineer include:**

* Extensive experience with Databricks.
* Strong understanding of governance frameworks.
* Experience supporting AI teams and understanding AI components.
* Knowledge of ML Ops processes.
* Proficiency with Azure Data Factory (ADF).
* Bachelor’s degree in a technical field or equivalent experience.

**Compensation for the Senior Data Engineer includes:**

* Salary: $130,000 \- $150,000
* Comprehensive Benefits: Medical, Dental, Vision, 401K, PTO, Sick Leave as required by law, and Holidays

 **This job opens for applications on 6/4/25\. Applications for this job will be accepted for at least 30 days from the posting date.**

 **Keywords: \#LI\-CR2 \#LI\-REMOTE**


Lead Data Engineer, Data Engineering, Brokerage, Databricks, Governance Framework, AI Support, ML Ops, Azure Data Factory, SAP Data Services, Technical Leadership, Data Quality, Data Integrity, Technical Solutions, Hybrid Position
Job Title: Senior Data Engineer
Company: Miracle Consulting Inc.
Location: Remote, US
Description:
**Company Overview**

Miracle Consulting Inc. is a national leader in IT staffing and consulting, dedicated to providing qualified professionals for software development, consulting, and support services. Our mission is to connect businesses with skilled experts who can drive innovation and efficiency across various sectors.

**Summary**

We are seeking a Senior Data Engineer to join our dynamic team at Miracle Consulting Inc. In this role, you will be responsible for designing and implementing data solutions that support our clients' analytics and business intelligence needs.

**Primary Skills**: Snowflake, AWS S3, SQL, ELT/ETL, data modeling.

**Job Description**

We are looking to bring on a Senior Data Engineer to support critical data initiatives for one of our clients. As they continue to scale their data capabilities, this role will focus on building and optimizing data pipelines, enabling cleaner and more accessible data for downstream analytics and business intelligence.

The ideal candidate will work closely with both internal stakeholders and external teams to integrate and curate data across multiple sources and systems. This is a high\-impact opportunity to contribute to a dynamic environment with evolving priorities and complex data challenges.

**Responsibilities**

* Develop and maintain scalable, performant data pipelines to ingest, transform, and deliver data efficiently.
* Leverage Snowflake for data engineering tasks, including ingestion, transformation, performance optimization, and access control.
* Manage data exchange workflows using AWS S3, ensuring secure and efficient data loading/unloading processes.
* Automate and orchestrate data tasks using SQL, Python, Bash, or similar scripting tools.
* Apply best practices in ETL/ELT design and data modeling to ensure data consistency, reliability, and performance.
* Collaborate with data analysts and BI teams to ensure clean, curated datasets are available for reporting and analytics.
* Contribute to CI/CD workflows and version control systems to maintain high\-quality, production\-ready data code.

**Requirements**

* Strong hands\-on experience with Snowflake, including performance tuning and security best practices.
* Working knowledge of AWS S3 and secure data handling processes.
* Proficiency in SQL and scripting (Python, Bash, or equivalent).
* Experience with ETL/ELT patterns and a solid grasp of data modeling techniques.
* Proven ability to collaborate across cross\-functional teams, particularly with analytics and BI stakeholders.
* Exposure to CI/CD tools and workflows is a plus.

If you're ready to make an impact in the world of data engineering, we invite you to apply today at Miracle Consulting Inc. Join us in shaping the future of technology!

Job Types: Contract, Temporary

Pay: $125,697\.34 \- $151,377\.44 per year

Schedule:

* 8 hour shift

Work Location: Remote
Job Title: Data Analyst
Company: Buckingham Search
Location: Chicago, IL
Description:
We’re looking for a
 **Real Estate Data Analyst** 
 to join our team and help shape the future of our global real estate portfolio. In this role, you’ll collaborate with our Senior Real Estate Data Manager and the Business Insights \& Process Team to manage critical lease data, ensure compliance with ASC 842, and provide analytical support that enhances operational decisions and financial accuracy.
 



 The firm operates in a fast\-paced, data\-driven trading environment, and our real estate footprint reflects that complexity. From data integrity to vendor compliance to cross\-functional reporting, this role will position you as a key contributor in optimizing how we manage and understand our real estate assets.
 



  





**Responsibilities\-** 




  





**Lease Administration:** 



* Interpret complex lease language with input from Legal and business teams to abstract key obligations into lease management systems
* Set up and maintain lease records, including amendments and payment schedules, in line with ASC 842 accounting standards
* Track critical dates such as renewals, terminations, escalations, and operating expense adjustments
* Draft and prepare notices for lease commencements, renewals, and terminations, ensuring accuracy and timeliness
* Partner with Finance to ensure accurate rent disbursements and income tracking
* Act as a liaison between the firm and external landlords or vendors to support lease compliance and dispute resolution



  





**Data Management \& Analysis:** 



* Build a comprehensive understanding of the firm’s lease data, vendor agreements, and their operational context
* Identify discrepancies between contract terms and vendor billing; resolve through reconciliation and internal follow\-up
* Maintain the accuracy of the lease database via regular audits and cross\-validation with ERP, finance subledgers, and internal contract systems
* Collaborate on the evolution of data processes—identify inefficiencies, recommend improvements, and help implement automation where possible
* Produce actionable insights for stakeholders across Finance, Legal, Operations, and Infrastructure teams



  





**Qualifications:** 



* Bachelor’s degree in Accounting, Finance, Economics, or a related field
* 2\+ years of experience in data analysis, real estate operations, or business research—experience in lease accounting or compliance is a strong plus
* Proficiency in Excel and working knowledge of SQL; experience with data visualization tools (e.g., Tableau, Power BI) is a plus
* Familiarity with real estate lease administration tools and ERP/financial systems preferred
* Excellent organizational and multitasking abilities, with a strong eye for detail
* Proactive, analytical thinker with a track record of problem\-solving and process improvement
* Confident communicator with the ability to collaborate across global teams and interact with external partners
* Comfortable handling confidential information and operating with discretion
* Adaptable and resilient in a fast\-paced, constantly evolving environment
Job Title: Business Intelligence Intern
Company: Lensa
Location: Raleigh, NC
Description:
Lensa is the leading career site for job seekers at every stage of their career. Our client, Applied Research Associates, is seeking professionals in Raleigh, NC. Apply via Lensa today!
   

  

**Description**
 BI Intern Responsibilities:
   

  

 The Ideal Candidate Will Have An Active Interest In Researching Market Data From Industry Reports, CRM Entries And Other Sources Of Information. The Candidate Will Collaborate With Project And Product Managers, IT, And Support Intellectual Property To Products (IP2P) Leadership. The Candidate Will Work In Close Coordination With The Program Manager And IP2P Throughout All Stages Of The Project Lifecycle To Monitor And Control Project Execution. The Selected Candidate Will
   

  

* Work with project managers to develop project plan documents, including necessary resources and budgets to meet project requirements.
* Assist Program Manager in developing reports, documentation, and briefings about project processes.
* Attend meetings with PMs, identify and record action items, and support coordination for task completion.
* Assist with developing project status reports and other documentation as needed.
* Organize market data into a consolidated, user\-friendly database (directory) to facilitate rapid business intelligence operations by product managers.


**Project Management Intern Required Qualifications**
* Rising junior or senior undergraduate student or graduate student
* A strong interest in business, data analytics, or marketing,
* Organized with excellent attention to detail, the ability to multi\-task, and the capacity to change priorities quickly and work effectively under deadlines
* Team player with excellent communication skills


**About Us**
 Applied Research Associates, Inc. (ARA) is an employee\-owned international research and engineering company known for providing technically superior solutions to complex and challenging problems. We employ over 2,000 professionals and continue to grow. ARA provides a broad range of technical expertise in defense, civil, and health technologies, computer software, and simulation, systems analysis, environmental technologies, and testing and measurement.
   

  

 ARA also prides ourselves on having a challenging culture where innovation \& experimentation are the norm. At ARA, employees are our greatest assets, so we give our employees the tools, training, and opportunities to take active roles as owners.
   

  

 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
   

  

 This employer is required to notify all applicants of their rights pursuant to federal employment laws.
   

  

 For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.
Job Title: Junior Data Analyst
Company: ManTech
Location: Ashburn, VA
Description:
**ManTech** 
 seeks a motivated, career\- and customer\-oriented
 **Junior Data Analyst** 
 to join our team in
 **Ashburn, VA.**
 Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to promote efficient trade and travel.
   

  

**Responsibilities Include But Are Not Limited To**
* Perform exploratory data analysis using statistical techniques to identify significant trends, patterns, correlations, and anomalies.
* Independently identify solutions for assigned business problems, and routinely collaborate with Enterprise/Application architects, Database Architects, Data Scientists, and mission stakeholders.
* Extract, clean, and transform data associated within an identified problem space to help build predictive models as well as develop appropriate supporting documentation.
* Leverage knowledge of a variety of statistical and machine learning techniques learned within school
* Execute projects including those intended to identify patterns and/or anomalies
* Brief project management, technical design, and outcomes to both technical and non\-technical audiences including senior stakeholders throughout the project lifecycle through written as well as virtual reporting.


**Minimum Qualifications**
* Education: HS Diploma/GED and 0\-6 years or AS and 0\-4 years or BS and 0\-2 years
* HS Diploma/GED and 0\-6 years or AS and 0\-4 years or BS and 0\-2 years
* Coursework related and/or prior internship related to data science/analytics
* Prior NTE experience, preferably with proficiency in operational data analysis.
* Knowledge of Python, R, Scala, or JavaScript
* Strong written and verbal communication skills


**Preferred Qualifications**
* Bachelors Degree in Mathematics, Statistics, Computer Science, Physical Science Engineering or a related field
* Strong written and verbal communication skills
* A passion for low\-level / embedded data/science analytics
* Working knowledge or cloud computing/cloud storage
* Prior NTC experience, preferably with proficiency in operational data analysis.


**Clearance Requirements**
* Must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability prior to starting this position.


**Physical Requirements**
* Must be able to be in a stationary position more than 50% of the time.
* Must be able to communicate, converse, and exchange information with peers and senior personnel.
* Constantly operates a computer and other office productivity machinery, such as a computer.
Job Title: Data Engineer, ITC
Company: Nike
Location: Karnataka, India
Description:
**Who You’ll Work With**
 This role is part of the Nike’s Content Technology team within Consumer Product and Innovation (CP\&I) organization, working very closely with the globally distributed Engineering and Product teams. This role will roll up to the Director Software Engineering based out of Nike India Tech Centre.
   

  

**Who We Are Looking For**
 We are looking for experienced Technology focused and hands on Lead Engineer to join our team in Bengaluru, India.
   

  

 As a Senior Data Engineer, you will play a key role in ensuring that our data products are robust and capable of supporting our Data Engineering and Business Intelligence initiatives.
   

  

* A data engineer with 2\+ years of experience in data engineering.
* Proficient in SQL, Python, PySpark, and Apache Airflow (or similar workflow management tools).
* Hands\-on experience with Databricks, Snowflake, and cloud platforms (AWS/GCP/Azure).
* Good understanding of Spark, Delta Lake, Medallion architecture, and ETL/ELT processes.
* Solid data modeling and data profiling skills.
* Familiarity with Agile methodologies (Scrum/Kanban).
* Awareness of DevOps practices in data engineering (automated testing, security administration, workflow orchestration)
* Exposure to Kafka or real\-time data processing
* Strong communication and collaboration skills.
* Preferred:
+ familiarity with Tableau or similar BI tools
+ exposure to GenAI/ML pipelines

* Nice to have: Databricks certifications for data engineer, developer, or Apache Spark.


**What You’ll Work On**
* Build and maintain ETL/ELT pipelines and reusable data components.
* Collaborate with peers and stakeholders to gather data requirements.
* Participate in code reviews and contribute to quality improvements.
* Monitor and troubleshoot data pipelines for performance and reliability.
* Support CI/CD practices in data engineering workflows.
Job Title: Data Engineer, ITC
Company: Nike
Location: Karnataka, India
Description:
**Who You’ll Work With**
 A data engineer will work in the Data and Artificial Intelligence organisation of Nike and will focus on building highly complex and performant data pipelines that'll drive Nike's data driven strategies for the future of sports.
   

  

**Who We Are Looking For**
 In this role, we are looking for self\-driven individuals who have deep technical knowledge in the big data domain. This role requires the individual to be an excellent problem solver who'll design and implement complex data pipelines which solve business problems of Nike.
   

  

 The core competencies required for this role include \-
   

  

* Bachelor’s degree in computer science engineering
* 2\+ years of hands\-on experience in data engineering field
* In depth big data tech stack knowledge
* Expertise in pyspark and SQL
* Expertise in databricks, snowflake, airflow
* Excellent written and verbal communication skills


**What You’ll Work On**
 As a data engineer you'll be a key pillar of the data engineering team. You will collaborate closely with other engineers to deliver key changes to data pipelines that drive Nike's data strategy
   

  

 On a day\-to\-day basis, you'll focus on \-
   

  

* Building, enhancing, and troubleshooting complex data pipelines
* Collaborating with product managers, engineers, analysts to build, enhance and troubleshoot data pipelines
* Collaborate with senior, lead and principal engineers to define and implement quality standards across data pipelines
* Contribute towards the design and architecture of data pipelines
* Implement data quality and reliability measures across data pipelines
Job Title: Data Engineer, ITC
Company: Nike
Location: Karnataka, India
Description:
**Who You’ll Work With**
 This role is part of the Nike’s Content Technology team within Consumer Product and Innovation (CP\&I) organization, working very closely with the globally distributed Engineering and Product teams. This role will roll up to the Director Software Engineering based out of Nike India Tech Centre.
   

  

**Who We Are Looking For**
 We are looking for experienced Technology focused and hands on Lead Engineer to join our team in Bengaluru, India.
   

  

 As a Senior Data Engineer, you will play a key role in ensuring that our data products are robust and capable of supporting our Data Engineering and Business Intelligence initiatives.
   

  

 A data engineer with 2\+ years of experience in data engineering.
   

  

* Proficient in SQL, Python, PySpark, and Apache Airflow (or similar workflow management tools).
* Hands\-on experience with Databricks, Snowflake, and cloud platforms (AWS/GCP/Azure).
* Good understanding of Spark, Delta Lake, Medallion architecture, and ETL/ELT processes.
* Solid data modeling and data profiling skills.
* Familiarity with Agile methodologies (Scrum/Kanban).
* Awareness of DevOps practices in data engineering (automated testing, security administration, workflow orchestration)
* Exposure to Kafka or real\-time data processing
* Strong communication and collaboration skills.
* Preferred:
+ familiarity with Tableau or similar BI tools
+ exposure to GenAI/ML pipelines

* Nice to have: Databricks certifications for data engineer, developer, or Apache Spark.


**What You’ll Work On**
* Build and maintain ETL/ELT pipelines and reusable data components.
* Collaborate with peers and stakeholders to gather data requirements.
* Participate in code reviews and contribute to quality improvements.
* Monitor and troubleshoot data pipelines for performance and reliability.
* Support CI/CD practices in data engineering workflows.