data engineering intern

Lumentum Operations

<div></div><div><div><div><div><div><div>locations</div><div>
USA - CA - San Jose (Ridder)</div></div></div></div><div></div><div><div><div><div><div>
time type</div><div>
Full time</div></div></div></div><div></div><div><div><div><div>
posted on</div><div>
Posted Today</div></div></div></div><div></div><div><div><div><div>
job requisition id</div><div>
2026318</div></div></div></div></div></div><div><div><div>
It's fun to work in a company where people truly BELIEVE in what they're doing!<br>
We're committed to bringing passion and customer focus to the business.</div><div></div><div><div><div><div><div><div><div><div>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!</div></div></div></div></div></div></div></div><div>
Overview</div><div>
We are seeking a motivated Data Engineering Intern to support manufacturing and operations advanced analytics/AI initiative. This role provides hands-on experience working with enterprise datasets, building data transformations, data pipelines and supporting analytics infrastructure.</div><div></div><div>
The ideal candidate has a strong foundation in SQL and data modeling an interest in data engineering, and a desire to learn modern data platforms such as Databricks. Exposure to manufacturing, operations, supply chain, data science, or Tableau is a plus.</div><div></div><div>
This internship offers practical experience developing scalable data workflows and supporting real-world business analytics.</div><div></div><div>
Responsibilities</div><ul><li>
Assist in developing and maintaining ELT pipelines in Databricks/python</li><li>
Write and enhance SQL queries for data transformation, aggregation, and validation</li><li>
Perform data quality checks and help troubleshoot pipeline issues</li><li>
Optimize basic SQL queries for readability and performance</li><li>
Assist with ingesting structured and semi-structured data</li><li>
Document transformation logic, table definitions, and data sources</li><li>
Collaborate with data engineers, analysts, and manufacturing stakeholders to support analytics needs</li></ul><div></div><div>
Minimum Qualifications</div><ul><li>
Qualified candidates will be enrolled in a Bachelor&rsquo;s or Master&rsquo;s degree program in Mechanical/Operations/Data Science/Computer Science Engineering or a related major.</li><li>
Students must be recently graduated, or graduating this Spring.</li></ul><div><br>
Desired Qualifications</div><ul><li>
Working knowledge of SQL (joins, aggregations, filtering, basic subqueries)</li><li>
Exposure to Python for data processing</li><li>
AI for data analytics and insights</li><li>
Familiarity with Git for version control</li><li>
Experience building pipelines for reporting</li><li>
Exposure to basic data science concepts or coursework</li><li>
Ability to work in a team environment</li><li>
Strong problem-solving skills and attention to detail</li></ul><div></div><div>
Pay Range: $23.75 - 54.30/hour USD</div><div>
Pay Range:</div><div>
Disclaimer:</div><div>
Final base salary for the successful candidate will depend on multiple factors, including but not limited to, job location, where work will be performed, qualifications, work history and relevant experience. With our continual goal of making Lumentum a best place to work for our employees, we strive to offer employees competitive total compensation packages, which may include annual bonus, commission for certain sales roles, equity, and health and welfare benefits.</div></div></div></div>

Data Engineering Intern

Analytica

<div>
 Analytica is seeking motivated students and early-career professionals to join our
 <strong>
  2027 Summer Associate Internship Program
 </strong>
 &nbsp;an open opportunity designed to provide hands-on experience across multiple functional areas of the organization.
 <p>
  Interns will be placed on teams aligned with their academic background, interests, and business needs. Participants will contribute to meaningful projects, gain exposure to industry tools and practices, and develop professional skills in a collaborative environment.
 </p>
 <p>
  This internship program supports career exploration across both
  <strong>
   technical and business disciplines
  </strong>
  , offering real-world experience supporting operational, analytical, and strategic initiatives.
  <br/>
 </p>
 Our company has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.&nbsp;
 <br/>
 &nbsp;
 <strong>
  Potential Internship Tracks
 </strong>
 <p>
  Interns may be aligned to one of the following areas:
 </p>
 <strong>
  Data Science Intern
 </strong>
 <ul>
  <li>
   Assist with data analysis, modeling, and exploratory data analysis
  </li>
  <li>
   Support development of machine learning or statistical models
  </li>
  <li>
   Prepare datasets for analysis and validation
  </li>
  <li>
   Create dashboards, visualizations, and analytical summaries
  </li>
  <li>
   Document methodologies and findings for stakeholders
  </li>
 </ul>
 <strong>
  Data Engineering Intern
 </strong>
 <ul>
  <li>
   Support development and maintenance of data pipelines
  </li>
  <li>
   Assist with data ingestion, transformation, and integration workflows
  </li>
  <li>
   Work with cloud or database technologies to manage datasets
  </li>
  <li>
   Help improve data quality, governance, and automation processes
  </li>
  <li>
   Participate in DataOps or ETL/ELT activities
  </li>
 </ul>
 <strong>
  Finance Intern
 </strong>
 <ul>
  <li>
   Assist with budgeting, forecasting, and financial reporting activities
  </li>
  <li>
   Support financial analysis and cost tracking
  </li>
  <li>
   Help prepare financial documentation and presentations
  </li>
  <li>
   Analyze operational or program financial data
  </li>
  <li>
   Support internal reporting and process improvements
  </li>
 </ul>
 <strong>
  Contracts / Business Operations Intern
 </strong>
 <ul>
  <li>
   Assist with contract administration and documentation tracking
  </li>
  <li>
   Support proposal preparation and compliance activities
  </li>
  <li>
   Help maintain contract records and reporting artifacts
  </li>
  <li>
   Participate in process documentation and workflow improvements
  </li>
  <li>
   Support coordination between legal, finance, and program teams
  </li>
 </ul>
 <strong>
  Human Resources Intern
 </strong>
 <ul>
  <li>
   Support recruitment, onboarding, and talent management activities
  </li>
  <li>
   Assist with HR administrative tasks, record keeping, and reporting
  </li>
  <li>
   Participate in employee engagement, training, or development initiatives
  </li>
  <li>
   Help prepare HR communications, presentations, or surveys
  </li>
  <li>
   Support HR process improvement and cross-functional projects
  </li>
 </ul>
 <strong>
  Core Responsibilities
 </strong>
 <p>
  Regardless of placement, interns will:
 </p>
 <ul>
  <li>
   Support ongoing projects and operational initiatives
  </li>
  <li>
   Conduct research, analysis, and documentation
  </li>
  <li>
   Collaborate with cross-functional teams
  </li>
  <li>
   Participate in meetings and team planning sessions
  </li>
  <li>
   Deliver assigned tasks within established timelines
  </li>
  <li>
   Learn organizational tools, systems, and best practices
  </li>
  <li>
   Present internship outcomes or project learnings (if applicable)
  </li>
 </ul>
 <strong>
  Basic Qualifications
 </strong>
 <ul>
  <li>
   Currently pursuing Bachelor&rsquo;s, or Master&rsquo;s degree
  </li>
  <li>
   Strong interest in learning and professional development
  </li>
  <li>
   Strong communication and organizational skills
  </li>
  <li>
   Ability to manage multiple tasks and priorities
  </li>
  <li>
   Proficiency in Microsoft Office or Google Workspace
  </li>
 </ul>
 <strong>
  Preferred Qualifications
 </strong>
 (Varies by internship track)
 <ul>
  <li>
   <strong>
    Data Science:
   </strong>
   Python, R, statistics, machine learning coursework
  </li>
  <li>
   <strong>
    Data Engineering:
   </strong>
   SQL, databases, cloud platforms, or scripting experience
  </li>
  <li>
   <strong>
    Finance:
   </strong>
   Accounting, finance, or economics coursework
  </li>
  <li>
   <strong>
    Contracts / Business Operations:
   </strong>
   Business, legal studies, public administration, or related field
  </li>
  <li>
   <strong>
    HR:
   </strong>
   Human Resources, Organizational Psychology, Business Administration, or related coursework
  </li>
  <li>
   Analytical mindset and problem-solving ability
  </li>
  <li>
   Experience working on team projects
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Gain
 </strong>
 <ul>
  <li>
   Hands-on professional experience
  </li>
  <li>
   Exposure to real-world business and technical environments
  </li>
  <li>
   Mentorship from experienced professionals
  </li>
  <li>
   Cross-functional collaboration opportunities
  </li>
  <li>
   Resume-building project experience
  </li>
  <li>
   Networking and career development support
  </li>
 </ul>
 <strong>
  Work Environment
 </strong>
 <p>
  We foster a collaborative, inclusive environment where interns are encouraged to contribute ideas, ask questions, and take ownership of their learning experience.
 </p>
 <strong>
  Additional Requirements
 </strong>
 <ul>
  <li>
   Ability to obtain and maintain a Public Trust or security clearance
  </li>
  <li>
   U.S. Citizenship&nbsp;based on contract needs
  </li>
 </ul>
 <p>
  <br/>
  About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA&nbsp;small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S.  Analytica specializes in providing software and systems engineering, information management, analytics &amp; visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI&reg; Maturity Level 3 and is an ISO 9001:2008 certified provider.&nbsp;
 </p>
</div>


2027 Summer Intern Associate

Metropolitan Transportation Authority

<div><p><b>Description</b><br>
</p><br>
Department: MTAHQ - Strategic Initiatives<br>
Location: 2 Broadway, New York, NY 10029<br>
Position Title: Data Engineer, Emerging Talent Intern<br>
Hourly Rate: $19.00 (Undergraduate), $21.00 (Graduate)<br>
<br>
All internship positions are onsite and require regular, in-person attendance at the designated work location.<br>
<br>
<b>OVERVIEW OF DEPARTMENT:</b><br>
The Data Engineering Team is responsible for building and maintaining the MTA Data Lake Platform, which powers analytics around the MTA. As owners of the MTA Data Lake Platform, the Data Engineering Team builds infrastructure, tooling, and services that allow for Data Scientists and Data Analysts at MTA to build data pipelines and analyze data. Having built the MTA Data Lake Platform in the cloud, engineers spend time not only on software development, but in cloud infrastructure and devops roles.<br>
<br>
<b>RESPONSIBILITIES:</b><p><br>
The key functions of the Data Engineer Intern are as follows:</p><ul><li>
Build and maintain tooling for orchestrating data pipelines</li><li>
Improve codebase testing and alerting frameworks</li><li>
Manage and improve infrastructure-as-code repositories</li><li>
Improve code documentation processes</li><li>
Conduct root cause analyses in response to issues</li><li>
Develop and maintain devops solutions</li><li>
Attendance at daily stand-ups</li><li>
Other tasks as assigned to problem-solve and achieve the goals of the team</li></ul><br>
<b>
PROJECTS:</b><br>
<ul><li>
Build and maintain tooling for orchestrating data pipelines.</li><li>
Improve codebase testing and alerting frameworks.</li><li>
Improve code documentation processes.</li></ul><br>
<br>
<b>REQUIRED QUALIFICATIONS:</b><ul><li>
Proficiency in Microsoft Office Suite is a must.</li><li>
The candidate should possess organizational, analytical and communication skills.</li><li>
The candidate should be able to work well under pressure and prioritize tasks effectively.</li><li>
The candidate should have a keen eye for detail and be able to work independently while being an active team player.</li><li>
Strong skills in Python and SQL</li><li>
Experience using Git</li></ul><br>
<br>
<b>REQUIRED EDUCATION:</b><ul><li>
Matriculated in an undergraduate program in good standing with at least 2.5 GPA AND/OR matriculated in a graduate program in good standing with at least 2.8 GPA</li><li>
Major(s) Preferred: Any STEM Majors preferred, all majors accepted</li></ul><br>
<br>
 All applicants must be authorized to work in the United States at the time of application. Students&rsquo; transcript must be submitted.<br>
<br>
<b>Equal Employment Opportunity</b><br>
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.</div>

Data Engineer, Emerging Talent Intern (Summer)

Lyons Magnus

<div>
 Job Type
 <br/>
 <br/>
 Internship
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Lyons Magnus leads the food industry with creativity and innovation, crafting top-quality products across all manufacturing phases, from raw materials to marketing. With over 2000 diverse items for industrial ingredient and food service sectors, Lyons caters to leading restaurant chains nationally and internationally.
 <br/>
 <br/>
 At Lyons, our diverse and talented staff is the heart of our organization. We foster a thriving work environment where employees are engaged in shaping both the company's and their own future.
 <br/>
 <br/>
 The
 <strong>
  Computer / SCADA Engineering Intern
 </strong>
 will support the Engineering team at our Fresno, CA manufacturing facility, which produces syrups and sauces. This role is designed to provide hands-on exposure to manufacturing operations, process improvement, and plant performance. The intern will work on real projects that improve efficiency, reduce waste, and support safe, high-quality production.
 <br/>
 <br/>
 The intern will work on real projects that improve efficiency, reduce waste, and support safe, high-quality production. This internship is structured to provide meaningful project work. Administrative tasks such as filing or data entry will be limited and will not exceed approximately 30&ndash;40% of the overall experience.
 <br/>
 <br/>
 <strong>
  Pay:
 </strong>
 $21.00 per hour
 <br/>
 <br/>
 <strong>
  Hours:
 </strong>
 8:00 am - 5:00 pm
 <br/>
 <br/>
 <strong>
  Schedule:
 </strong>
 Monday - Friday
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Fresno, CA
 <br/>
 <br/>
 <strong>
  Work Environment:
 </strong>
 In-Office
 <br/>
 <br/>
 <strong>
  Core Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support SCADA, PLC, and data-management projects to improve visibility into plant performance and utility monitoring.
  </li>
  <li>
   Assist with building dashboards, historian tags, and data structures that support engineering, maintenance, and reliability analysis.
  </li>
  <li>
   Work with controls engineers to document I/O lists, control logic descriptions, and system interfaces used by production.
  </li>
  <li>
   Participate in troubleshooting efforts, root-cause reviews, and data-quality improvement initiatives.
  </li>
  <li>
   Help develop templates, standards, or scripts for future controls and data-engineering work
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Internship Expectations
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   SCADA Tag Standardization Project: Assist in mapping existing tags, cleaning naming conventions, and ensuring alignment across systems.
  </li>
  <li>
   Utility Data Visibility Initiative: Help create dashboards for glycol/chilled water performance, pump operation trends, and alarms.
  </li>
  <li>
   Historian Data Audit: Support cleanup, verification, and reliability improvements for long-term plant data retention.
  </li>
  <li>
   Documentation Buildout: Create user-friendly documentation for controls, networks, and data flows used by engineering and maintenance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Knowledge, Skills and Abilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Interest in SCADA systems, PLCs, industrial networking, or data engineering.
  </li>
  <li>
   Experience with Python, databases, or visualization tools is helpful but not required.
  </li>
  <li>
   Strong curiosity and willingness to learn how digital systems support physical manufacturing processes.
  </li>
  <li>
   Ability to work in a fast-paced manufacturing environment
  </li>
  <li>
   Strong communication and teamwork skills
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education And/or Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Pursuing a B.S. in Computer Engineering, Computer Science, Electrical Engineering, or similar.College Junior, senior, or graduate standing preferred
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Considerations
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Regular check-ins
  </li>
  <li>
   Feedback and mentoring sessions
  </li>
  <li>
   A final &ldquo;Internship Impact&rdquo; presentation summarizing their contributions
  </li>
  <li>
   Inter-departmental learning and exposure (Maintenance, Quality, Production)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 Our compensation program is designed to attract, motivate, and retain the very best people. Lyons Magnus offers a comprehensive benefits plan that include: Health, Dental Insurance, Life Insurance, Long Term Disability, Sec. 125, 401(k) plan, and more. If you meet these requirements and are eager to join a dynamic company poised for further growth, please respond with your cover letter, and salary requirements.
 <br/>
 <br/>
 To learn more about Lyons Magnus, LLC its products and core values, visit www.lyonsmagnus.com or follow us on Instagram or LinkedIn
 <br/>
 <br/>
 Lyons Magnus is an Equal Opportunity Employer and with opportunities for advancement. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories.
 <br/>
 <br/>
 <ul>
  <li>
   This organization participates in E-Verify.
   <br/>
   <br/>
  </li>
 </ul>
 Salary Description
 <br/>
 <br/>
 $21.00
</div>


Computer/SCADA Engineering Intern

<div><p><b>Description</b><br>
</p><br>
Department: MTAHQ - Strategic Initiatives
<br>
Location: 2 Broadway, New York, NY 10004<br>
Position Title: Data Science, Emerging Talent Intern<br>
Hourly Rate: $19.00 (Undergraduate), $21.00 (Graduate)<br>
<br>
All internship positions are onsite and require regular, in-person attendance at the designated work location.<br>
<br>
<b>OVERVIEW OF DEPARTMENT:</b><br>
The MTA Data &amp; Analytics team builds and operates the MTA's core data infrastructure, develops internal and public-facing data products, and supports executive decision-making on the MTA's highest-impact initiatives. The team owns core data pipelines, the MTA Open Data Program, and advanced analyses spanning ridership, operations, revenue, and policy evaluation.<br>
<br>
<b>RESPONSIBILITIES:</b><br>
<ul><li>
Writing and maintaining code to clean, combine, and transform large operational datasets.</li><li>
Conducting exploratory and structured analyses to answer questions from MTA leadership</li><li>
Working with SQL, Spark, Python, and other analytical tools as project needs dictate.</li><li>
Monitoring, validating, and improving production data pipelines for accuracy, reliability, and maintainability using Apache Airflow.</li><li>
Translating exploratory analyses into durable, well-documented datasets.</li><li>
Authoring presentations and written documentation that clearly communicate findings to both technical and non-technical audiences.</li><li>
Build dashboards using tools like Power BI and Mode Analytics to visualize data for stakeholders.</li><li>
Collaborating thoughtfully, kindly, and enthusiastically with analysts, planners, engineers, executives, and operations staff across the MTA.</li></ul><br>
<b>
PROJECTS:</b><br>
<br>
The specific projects the intern will work on are to be determined, based on the needs of the Data &amp; Analytics team and the skills and interests of the hired intern. Some example projects include:<br>
<ul><li>
Bus Speed &amp; Customer Experience Analysis. Analyze bus speeds, reliability, and variability across New York City to identify bottlenecks, service gaps, and opportunities to improve customer experience.</li><li>
In-Field Hardware &amp; Sensor Performance. Analyze telemetry and event data from fare payment validators, buses, and subway infrastructure to assess hardware reliability, detect failures, and surface operational risk.</li><li>
Congestion Pricing Impact Analysis. Measure the ongoing effects of congestion pricing on travel behavior, traffic conditions, transit ridership, and revenue.</li>
Staff Scheduling &amp; Optimization. Analyze workforce schedules, service plans, and operational constraints to deliver better service quality for customers.<br>
<li>
</li></ul><br>
<br>
<b>REQUIRED QUALIFICATIONS:</b><ul><li>
Proficiency in Microsoft Office Suite is a must.</li><li>
The candidate should possess organizational, analytical and communication skills.
</li><li>The candidate should be able to work well under pressure and prioritize tasks effectively.</li><li>
The candidate should have a keen eye for detail and be able to work independently while being an active team player.</li><li>
Strong data analytic skills, understanding of analytical methods (e.g., probability and statistics, algorithm design).</li><li>
Strong experience in Python or SQL coding.</li><li>
Experience in analytic tooling such as Excel, Power BI, Tableau, or Mode Analytics.</li><li>
Experience coding, documenting processes, and performing data quality checks.</li><li>
Knowledge of and preferably some experience in data engineering. Experience with Apache Airflow especially valuable.</li></ul><br>
<b>
REQUIRED EDUCATION:</b><ul><li>
Matriculated in an undergraduate program in good standing with at least 2.5 GPA AND/OR matriculated in a graduate program in good standing with at least 2.8 GPA</li>
Major(s) Preferred: Computer Science, Data Science, Transportation, Urban Science and Informatics, Economics, Statistics, or related field.<br>
<li>
</li></ul><br>
<br>
All applicants must be authorized to work in the United States at the time of application. Students' transcript must be submitted.<br>
<br>
<b>Equal Employment Opportunity</b><br>
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.</div>

Data Science, Emerging Talent Intern (Summer)

GreenGas USA

<div>
 At GreenGas, we&rsquo;re helping lead the global energy transition by transforming waste into renewable energy and measurable decarbonization. We&rsquo;re a fast-growing team of expert innovators, engineers, and problem-solvers committed to advancing global sustainability, fueling a circular economy, and creating a cleaner future for all. Join us and help shape the future of renewable energy.
 <br/>
 <br/>
 <strong>
  <strong>
   Data Engineer - Intern
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  <strong>
   Location:
  </strong>
 </strong>
 Houston, TX / Hybrid
 <br/>
 <br/>
 <strong>
  <strong>
   Reports To:
  </strong>
 </strong>
 IT Manager
 <br/>
 <br/>
 <strong>
  <strong>
   FLSA Status:
  </strong>
 </strong>
 Non-Exempt
 <br/>
 <br/>
 <strong>
  Position Summary
  <br/>
  <br/>
 </strong>
 The Data Engineer Intern plays a supporting role in advancing the organization&rsquo;s data-driven initiatives. In this role, the intern assists in building and maintaining elements of the data infrastructure that enable data to be collected, stored, processed, and made accessible for analysis, reporting, and machine learning. Working under the guidance of experienced engineers, the IT Data Engineer Intern gains hands-on experience with data pipelines, data platforms, and data integration processes while contributing to projects that improve the availability, quality, and usability of organizational data.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and Implement ETL/ELT Processes: Build robust Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines to move data from various sources (databases, APIs, streaming sources, external data providers) into data warehouses, data lakes, or other data repositories.
  </li>
  <li>
   Develop and Maintain Scalable Data Pipelines: Create efficient and scalable data pipelines to handle large volumes of structured and unstructured data.
  </li>
  <li>
   Automate Data Workflows: Data engineers will write code and scripts to automate repetitive tasks in data collection, processing, and delivery. Ie Databases to PBIs.
  </li>
  <li>
   Monitor and Troubleshoot Pipelines: Continuously monitor pipeline performance, identify and resolve data-related issues, errors, and performance bottlenecks.
   <br/>
   <br/>
  </li>
 </ul>
 Data Architecture and Storage
 <br/>
 <br/>
 <ul>
  <li>
   Design and Maintain Data Architecture: Selecting appropriate technologies for data storage such as relational databases, NoSQL databases, data lakes, data warehouses, cloud storage services) and designing efficient data models, schemas.
  </li>
  <li>
   Optimize Data Storage and Retrieval: Work to ensure data is stored in a way that allows for high-performance queries and efficient analytical and operational use cases.
  </li>
  <li>
   Evaluate and Implement Data Solutions: Research and implement new data technologies, tools, and frameworks to improve data infrastructure and processes.
  </li>
  <li>
   Cloud Platform Management: Proficiency in Azure to deploy and manage data solutions in the cloud, including automation, databases and PowerBI&rsquo;s.
   <br/>
   <br/>
  </li>
 </ul>
 Data Quality, Governance, and Security
 <br/>
 <br/>
 <ul>
  <li>
   Ensure Data Quality and Integrity: Implement validation rules, cleansing procedures, and monitoring systems to detect and rectify anomalies, ensuring data accuracy.
  </li>
  <li>
   Implement Data Governance Frameworks: Define standards and policies for data usage, ensuring consistency, reliability, and compliance (e.g., GDPR, HIPAA).
  </li>
  <li>
   Manage Data Security and Access: Implement security controls and access management policies to protect sensitive information from unauthorized access or theft.
   <br/>
   <br/>
  </li>
 </ul>
 Collaboration and Support
 <br/>
 <br/>
 <ul>
  <li>
   Provide Data Access Tools: Set up dashboards, analytics tools, and API endpoints to make processed data accessible to end-users and applications.
  </li>
  <li>
   Document Technical Designs and Workflows: Create comprehensive documentation for data pipelines, architecture, and processes to facilitate system transparency.
  </li>
  <li>
   Support Data-Driven Decision Making: By providing clean, reliable, and accessible data, data engineers enable organizations to make informed business decisions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Programming Languages: Python, Java, SQL and related technologies
  </li>
  <li>
   Database Systems: Strong knowledge of relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra).
  </li>
  <li>
   Data Warehousing: Experience with data warehousing and platforms (e.g., Snowflake).
  </li>
  <li>
   ETL Tools: Proficiency with various ETL tools such as snowflake and Databricks
  </li>
  <li>
   Cloud Platforms: Experience with Azure Suite, Jira DevOps and Ticketing system.
  </li>
  <li>
   Big Data Technologies: (Hadoop, Spark, Kafka, Hive).
  </li>
  <li>
   Data Modeling and Schema Design: Ability to design efficient data models.
  </li>
  <li>
   Scripting and Automation: For automating data processes.
  </li>
 </ul>
</div>


Data Engineer - Intern

FFF Enterprises

<b>Why We Are - Who We Are:</b> About FFF Enterprises
<br>What We Do - https://www.fffenterprises.com/company/what-we-do.html
<br><br>
Data Engineer - Intern
<br>Position Summary
<br>This internship offers hands-on experience working with cutting-edge technologies and real enterprise data in a cloud-native environment. The Data Engineer – Intern will support the design, development, and optimization of data pipelines that fuel advanced analytics, AI/ML, and business decision-making across the company
<br><br>
Essential Functions and Duties
<br><ul>
<li>Assist with the development of robust, scalable data pipelines to support enterprise data products and reporting.</li>
<li>Help ingest and transform raw data into clean, usable formats using tools like Databricks, Delta Live Tables (DLT), SQL, and Python.</li>
<li>Collaborate with engineers, analysts, and data scientists on the Data Intelligence Team to support strategic data initiatives.</li>
<li>Document technical specifications, data workflows, and data quality rules as part of our governance processes.</li>
<li>Participate in team standups, sprint planning, and peer reviews to build software engineering and agile delivery skills</li>
<li>Adheres specifically to all company policies and procedures, Federal and State regulations, and laws.</li>
<li>Display dedication to position responsibilities and achieve assigned goals and objectives.</li>
<li>Adheres specifically to all company policies and procedures, Federal and State regulations, and laws.</li>
<li>Display dedication to position responsibilities and achieve assigned goals and objectives.</li>
<li>Always represent the Company in a professional manner and appearance.</li>
<li>Understand and internalize the Company’s purpose,</li>
<li>Display loyalty to the Company and its organizational values.</li>
<li>Display enthusiasm and dedication to learning how to be more effective on the job and share knowledge with others.</li>
<li>Work effectively with co-workers, internal and external customers and others by sharing ideas in a constructive and positive manner; listen to and objectively consider ideas and suggestions from others; keep issues; address problems and issues constructively to find mutually acceptable and practical business solutions; address others by name, title, or other respectful identifier, and respect the diversity of our work force in actions, words, and deeds. • Comply with the policies and procedures stated in the Injury and Illness Prevention Program by always working in a safe manner and immediately reporting any injury, safety hazard, or program violation.</li>
<li>Ensure conduct is consistent with all Compliance Program Policies and procedures when engaging in any activity on behalf of the company. Immediately report any concerns or violations.</li>
<li>Other duties as assigned.</li>
</ul>
Education, Knowledge, Skills, and Experience
<br><br>
<b>Required Education:</b><br>
<ul>
<li>Enrolled in a bachelor’s or master’s degree program in computer science, data science, engineering, information systems, or a related field.</li>
</ul>
<b>Required Knowledge:</b><br>
<ul>
<li>General knowledge of advanced concepts, practices and procedures related to Data Engineering</li>
<li>Basic knowledge of SQL, Python, or similar scripting languages.</li>
<li>Interest in data architecture, cloud computing, and modern data platforms like Databricks, Azure</li>
</ul>
<b>Preferred Knowledge:</b><br>
<ul>
<li>Familiarity with python programming</li>
</ul>
<b>Required Skills:</b><br>
<ul>
<li>Must have strong organizational skills</li>
<li>Must have a detail orientation and the proven ability to prioritize work</li>
<li>Must have effective verbal and written communication skills</li>
<li>Must have the ability to work with limited supervision and as part of a team</li>
<li>Sound decision-making abilities</li>
<li>Must be able to work with cross-functional teams</li>
</ul>
Physical requirements
<br>Vision, hearing, speech, movements requiring the use of wrists, hands and/or fingers. Must have the ability to view a computer screen for prolonged periods and the ability to sit for extended periods. Must have the ability to work the hours and days required to complete the essential functions of the position, as scheduled. The employee occasionally lifts to 20 lbs. and occasionally kneels and bends. Must have the ability to travel occasionally. Working conditions include normal office setting.
<br>Mental Demands
<br>Learning, thinking, concentration and the ability to work under pressure, particularly during busy times. Must be able to pay close attention to detail and be able to work as a member of a team to ensure excellent customer service. Must have the ability to interact effectively with co-workers and customers, and exercise self-control and diplomacy in customer and employee relations’ situations. Must have the ability to exercise discretion as well as appropriate judgments when necessary. Must be proactive in finding solutions.
<br><br>
Direct Reports
<br>No
<br><br>
EEO Statement
<br>FFF Enterprises and Nufactor are an equal opportunity employer and prohibits discrimination and harassment based on the following characteristics: race, color, religion, national origin, physical or mental disability, gender, age (40 years and over) qualified veteran and any other characteristic protected by state or federal anti-discrimination law covering employment. These categories are defined according to Government Code section 12920. The Company prohibits unlawful discrimination based on the perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics.
<br><br>
To be considered for a position with FFF Enterprises, Inc, applicants must complete and sign the application.
<br>Employee Benefits Available for FFF Enterprises Team Members
<br><br>
<b>Employee benefits include:</b><br>
<ul>
<li>Medical Insurance</li>
<li>Dental Insurance</li>
<li>Vision Discount Program</li>
<li>Vision Insurance Plan</li>
<li>Health Savings Account (HSA)</li>
<li>Flexible Spending Account (FSA)</li>
<li>Dependent Care Flexible Spending Account</li>
<li>Employee Assistance Program (EAP)</li>
<li>Group Life and AD&D</li>
<li>Voluntary Supplemental Life Insurance Plans</li>
<li>Short Term Disability</li>
<li>Long Term Disability Income Protection</li>
<li>401k Profit Sharing Retirement Plan - Discretionary Match</li>
<li>Discretionary Bonus</li>
<li>Supplemental Insurance Plans</li>
<li>Prepaid Legal/Identity Theft Plan</li>
<li>Paid Holidays/Vacation/Sick Days</li>
<li>Seven (7) Paid Holidays, Two (2) Week Vacation, Five (5) Sick Days, and One (1) Float Day for CA, NC, and TX</li>
</ul>
All Other States Receive One Hundred Twenty (120) Hours of PTO
<br><ul>
<li>Tuition Reimbursement Program</li>
<li>Notary Services</li>
<li>Employee Referral Bonus</li>
<li>Vendor Discount Programs</li>
<li>Corporate Individual Travel Program</li>
</ul>
<b>(Note:</b> We comply with the ADA and consider reasonable accommodation measures that may be necessary for eligible applicants/employees to perform essential functions. Hire may be subject to passing a medical examination, and to skill and agility tests.)

Intern, Data Intelligence Engineer

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