At YETI, we believe that time spent outdoors matters more than ever and our gear can make that time extraordinary. When you work here, you have the opportunity to create something exceptional, build something sustainable and make a real impact. We are BUILT FOR THE WILD™.

Industry: Manufacturing
Company Size: 501-1,000 employees

YETI

Savvy Admin PROD

At YETI, we believe that time spent outdoors matters more than ever and our gear can make that time extraordinary. When you work here, you’ll have the opportunity to create exceptional, meaningful work and problem solve with innovative team members by your side. Together, you’ll help our customers get the high-quality gear they need to make the most of their adventures. We are BUILT FOR THE WILD™.

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI’s enterprise data platform with a strong emphasis on Azure Databricks and Google BigQuery. This role is critical to enabling modern analytics, advanced reporting, and data-driven decision-making across the enterprise. This position offers an extremely rare and unique opportunity to join a highly profitable, fast-growing business.

This role requires a blend of skills typically found in the specialized roles of Data Modeler, Data Architecture, Data Analyst, and Administration of Data tools. Additionally, having experience in agile development, and how to balance the need to maintain operations versus the need to build things the right way is an absolute must.

**Responsibilities**

- Work with business customers and data analysts to define detailed requirements from broader business challenges

- Translate those requirements to logical and physical models that satisfy analytical needs

- Design and build scalable ELT/ETL pipelines using Google Stored Procedures in BigQuery, Databricks, Spark, Airflow/Google Composer and Google Dataflow

- Lead development of analytical data models using Databricks and Google BigQuery

- Integrate SAP data sources including SAP HANA and S/4HANA

- Optimize data performance of Google Vertex AI engineering and ML pipelines

- Partner with business and analytics teams to translate requirements into technical solutions

- Enforce data quality, reliability, and governance best practices

- Perform data profiling and analysis to assess data quality patterns, recommend data cleansing rules, conforming data standard rules and matching algorithms

- Build Data pipelines for SAP and non-SAP data sources to load into BigQuery

- Own the data infrastructure of our existing Google BigQuery Data warehouse and other related GCP services

- Assist ETL and BI developers with complex query tuning and schema refinement

**Qualifications And Attributes**

- Bachelor’s degree in computer science or related discipline

- At least 8 years of experience in data engineering primarily in Google BigQuery and intermediate skills in Databricks.

- Expert in writing, analyzing and tuning complex SQL queries

- Extensive experience with Python programming

- Hands-on experience in GCP BigQuery, Google Airflow, Dataflow and Databricks.

- Must have a good understanding of Dimensional Modeling and ER-Modeling

- Candidates should demonstrate openness to adopting unfamiliar tools and acquiring proficiency in new programming languages.

- Strong problem-solving ability and a positive attitude

- Experience in extracting data from SAP HANA and Salesforce tools

- Experience/Knowledge of SAP Datasphere is a huge plus.

- Experience with Java and NodeJS

- Terraform, Docker, and CI/CD experience preferred

LW1

**Benefits & Perks**

Click here to learn about the benefits and perks we offer at YETI.

**YETI is proud to be an Equal Opportunity Employer.**

~~Our commitment to creating a diverse, equitable, and inclusive culture is at the center of everything we do for our employees. We embrace all applicants looking to bring their authentic selves to YETI and contribute to our mission of keeping the wild WILD. Find out more about our commitment to DE&I at yeti.com/esg.html.~~

~~All applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.~~

YETI Applicant Privacy Notice

~~YETI welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require accommodation in order to apply for a job, please contact us at accommodationrequest@yeti.com. ~~

Sr. Data Engineer

Code Your Future with Industry-Ready Skills
Master in-demand technologies like .NET Full Stack, Generative AI, and Mobile App Development through hands-on projects and expert mentorship. Join thousands of learners building real-world applications and landing their dream tech jobs.

Industry: Technology, Information and Internet
Company Size: 51-200 employees

Knowvia Tech Inc

📌 Job Title: Data Analyst & Data Engineer – Microsoft Fabric Specialist

📍 Employment Type: Full-Time

🎓 Education: Master's Degree (recently completed)

📅 Experience: 4–5 Years

🏅 Certification: DP-600 – Microsoft Fabric Analytics Engineer (MANDATORY)

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About the Role

We are hiring a Data Engineer with strong Microsoft Fabric expertise. You will design data pipelines, build analytical solutions, and deliver business insights using the Microsoft Fabric ecosystem.

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Key Responsibilities

• Build and maintain data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Notebooks)

• Develop lakehouses and data warehouses in OneLake / Microsoft Fabric

• Design and optimize ETL/ELT processes for structured and unstructured data

• Create Power BI dashboards and reports within the Fabric ecosystem

• Write SQL, DAX, and PySpark for data transformation and analysis

• Collaborate with stakeholders to translate requirements into analytics solutions

• Ensure data quality, governance, and documentation standards

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Requirements

✅ Master's degree in Data Science, CS, Information Systems, or related field

✅ 4–5 years of hands-on experience as a Data Analyst and/or Data Engineer

✅ DP-600 Certification (Microsoft Fabric Analytics Engineer) — MANDATORY

✅ Strong SQL and Python/PySpark skills

✅ Experience with Microsoft Fabric, Azure Data Lake, and Power BI

✅ Knowledge of data modeling (star schema, dimensional modeling)

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Nice to Have

• Experience with Delta Lake, dbt, or Azure Synapse

• Additional certifications: DP-203, PL-300, AZ-900

• Familiarity with CI/CD pipelines for data projects (Azure DevOps / GitHub Actions)

• Knowledge of Microsoft Purview for data governance

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⚠️ Applications without a valid DP-600 certification will not be considered.

Data Engineer

Knowfinity, an EdTech enterprise, champions personalized learning solutions, incubating cutting-edge programs for upskilling and guaranteed career opportunities. Rooted in a commitment to quality, Knowfinity’s emphasis is on empowering learners in data science, AI, machine learning, software testing, data analystics and Python. The company stands out by delivering tech skills ready for the future, prioritizing accessibility and comfort in acquiring essential expertise in these high-demand fields.

🌟 Our Data Science Program Features:

1️⃣ Live Doubt Sessions for interactive learning.
2️⃣ 50+ hands-on projects for practical experience.
3️⃣ Internship guaranteeing job readiness.
4️⃣ Placement aid: 5+ guaranteed interviews, unlimited support till job secured.

Industry: Education
Company Size: 2-10 employees

KNOWFINITY

We are hiring a **Data Engineer ** on behalf of one of our prestigious **Fortune 500 Healthcare clients in the United States **. This is an excellent opportunity to work on large-scale healthcare data platforms, modern cloud technologies, and enterprise-grade data engineering initiatives that directly support critical business and patient-care operations.

The ideal candidate should have hands-on experience in building scalable data pipelines, working with cloud-based data ecosystems, and supporting analytics and reporting solutions in a fast-paced enterprise environment.

**Responsibilities**

- Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.

- Build and optimize data workflows using modern cloud and big data technologies.

- Collaborate with data analysts, business stakeholders, and engineering teams to deliver reliable data solutions.

- Develop data integration processes across multiple healthcare and enterprise systems.

- Ensure data quality, integrity, governance, and security standards are maintained.

- Monitor and troubleshoot data pipelines and production jobs.

- Support reporting, analytics, and business intelligence initiatives.

- Participate in performance tuning and optimization of databases and data processing systems.

**Qualifications**

- 2+ years of experience as a Data Engineer or in a related data-focused role.

- Strong experience with SQL and relational databases.

- Hands-on experience with Python, PySpark, or Scala.

- Experience working with ETL tools and data pipeline development.

- Familiarity with cloud platforms such as AWS, Azure, or GCP.

- Experience with big data technologies like Spark, Hadoop, or Databricks is preferred.

- Knowledge of data warehousing concepts and dimensional modeling.

- Strong analytical, problem-solving, and communication skills.

- Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.

**Preferred**

- Healthcare domain experience preferred

- Exposure to HIPAA-compliant environments is an advantage

- Strong analytical and problem-solving skills

**What We Offer**

- Opportunity to work with a Fortune 500 Healthcare organization.

- Exposure to enterprise-scale cloud and data engineering projects.

- Collaborative and technology-driven work environment.

- Competitive compensation package.

- Long-term growth and career advancement opportunities.

**Work Authorization**

Candidates must be legally authorized to work in the United States. Visa sponsorship is available for eligible candidates.

Skills: python,healthcare,data,gcp,aws,cloud,big data,sql,analytics,azure,data engineering,etl

Our mission is to accelerate the world’s transition to sustainable energy. With global temperatures rising, the faster we free ourselves from fossil fuel reliance and achieve a zero-emission future, the better. 
 
In pursuit of this mission, we make electric vehicles that are not just great EVs, but the best cars, period. We also produce and install infinitely scalable clean energy generation and storage products that help our customers further decrease their environmental impact. When it comes to achieving our goals, we pride ourselves in accomplishing what others deem impossible.
 
We are opening new factories and increasing our output everyday – join us in building a sustainable future.

Industry: Motor Vehicle Manufacturing
Company Size: 10,001+ employees

Tesla

**What To Expect**

The Energy Quality Team in Houston is looking for a Data Engineer to support Quality Engineering initiatives onsite. this position will support automation of production controls, defect prediction, advanced statistics, automate data pipelines and maintaining respective databases, creating live visualization tools to enable quality assurance for Tesla Energy products.

**What You'll Do**

- Define requirements and perform validation of manufacturing execution systems

- Analyze manufacturing, equipment and product field data and extract useful statistics and insights about failures to drive meaningful improvements to production quality and customer experience

- Work effectively with Engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling

- Monitor key product metrics, understanding root causes of changes

- Interpret data, analyze results using statistical techniques and provide ongoing reports

- Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports

- Maintain existing data visualizations, data pipelines and dashboard enhancement requests

- Acquire data from primary or secondary data sources and maintain databases/data systems to empower operational and exploratory analysis

- Perform data quality validations to ensure data creation is as per the business needs and expectations

**What You'll Bring**

- Degree in Engineering, or equivalent experience

- Extensive experience writing software with Python

- Experience with multiple data architecture paradigms (e.g. SQL, NoSQL, Kafka, Spark)

- Experience and interest in frontend development, preferably with the JavaScript React framework

- Knowledge of various data communication protocols (e.g. REST API, WebSocket)

- Able to work under pressure while collaborating and managing competing demands with tight deadlines

**Benefits**

**Compensation and Benefits**

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

-  Medical plans > plan options with $0 payroll deduction

-  Family-building, fertility, adoption and surrogacy benefits

-  Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution

-  Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA

-  Healthcare and Dependent Care Flexible Spending Accounts (FSA)

-  401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

-  Company paid Basic Life, AD&D

-  Short-term and long-term disability insurance (90 day waiting period)

-  Employee Assistance Program

-  Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays

-  Back-up childcare and parenting support resources

-  Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance

-  Weight Loss and Tobacco Cessation Programs

-  Tesla Babies program

-  Commuter benefits

-  Employee discounts and perks program

, Tesla

Data Engineer, Quality, Megafactory

We deliver advanced technology consulting solutions built for today’s most ambitious organizations. By connecting top-tier consultants with talent acquisition seeking proven expertise, we help companies move faster, solve complex challenges, and stay ahead in competitive markets. With a deep understanding of recruitment and delivery realities, we provide strategic solutions that elevate project staffing, optimize workflows, and accelerate results.

Backed by hundreds of successful engagements and trusted by leading clients, we know that the right talent is the foundation of long-term success.

Our team specializes in identifying the right experts for every engagement, from short-term project needs to long-term strategic roles.

From talent sourcing and vetting to onboarding and ongoing support, our end-to-end talent solutions ensure you have the expertise needed to perform, scale, and win.

Be part of the future: tinyurl.com/ConsultantCareerForm

Industry: IT Services and IT Consulting
Company Size: 201-500 employees

Tech Consulting

Are you excited about taking your technical career to new heights with a full-time, W-2 role as a consultant in a dynamic and rapidly growing company? If you are, let's get in touch – ~~your interest is the first step to starting the conversation. ~~

**What This Role Requires: **

- 1-4 years of programming experience after your degree

- Must have coding experience in both Python and SQL.

- Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake

- Good understanding of object-oriented programming (OOP) principles & concepts

- Familiarity with data visualization tools such as Tableau or Power BI

- Familiarity with Apache Flink or Apache Storm

- Awareness of data security best practices and compliance requirements (e.g., GDPR, HIPA).

- Familiarity with AI and ML techniques.

- Good to have knowledge of Hadoop and Scala.

**To Qualify: **

- You should be willing to relocate anywhere in the US on a client project-to-project basis, as this is an **onsite, in-office position **.

- Strong English communication skills, both written and verbal.

- **Bachelor’s Degree ** in Computer Science, Information Systems, Electrical Engineering, Mathematics, or a related quantitative field.

**What’s In It For YOU? **

- Gain valuable, career-enhancing experience working with our Fortune 1,000 clients.

- Receive relocation support for training and project assignments, as required.

- Enjoy comprehensive W2 employee benefits.

**Who Are We? **

We are a premier IT consulting firm specializing in delivering top-tier Big Data solutions to companies across various sectors such as **finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare **.

**Company Highlights: **

- **Our Specialization: **Providing IT consulting services.

- **Experience: **Over 25 years of combined domestic and international expertise in IT consulting serving hundreds of Fortune 1,000 and innovative startup clients.

Interested in accelerating your tech career through careerenhancing IT consulting experience? Do you meet the required qualifications?

**If so, apply today! We look forward to hearing from you. **

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