34 Jobs in Lisle, IL
KBX is Hiring a Senior Data Engineer Near Lisle, IL
Our TeamThe KBX data engineering team is integral to our organization's data ecosystem, focusing on developing robust data solutions for our enterprise data platform. Our primary responsibility is to efficiently ingest data from diverse sources into our cloud data warehouse system, making it easily accessible and actionable for downstream users. This team regularly collaborates with architects, platform engineers, data implementation specialists, analysts, and business stakeholders to ensure seamless data integration and utilization. We are currently engaged in a transformative phase, working towards building advanced data solutions that align with data, strategic objectives, and drive business innovation.
What You Will Do
- Lead the design, development, and implementation of data engineering solutions, including data pipelines, ETL processes, and data warehouses.
- Solve complex problems using a broad perspective, collaborate with applicable knowledge sources and diverse perspectives, and share findings with your peers as appropriate.
- Design proof of concepts to drive innovation and continuous improvement in data engineering processes and technologies.
- Design & Optimize data solutions that adhere to agree upon organizational standards and follow industry best practices and modernization.
- Create reusable templates by performing analysis, design and development work using a variety of solutions and technologies. Propose alternative solutions to achieve desired result.
- Mentoring a team of data engineers providing guidance and technical expertise.
- Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
- Ensure data quality, integrity, and security across all data engineering projects.
- Document standard practices, areas of improvement, knowledge share sessions & perform on call support, as needed.
- Experience working with Python, SQL, data warehouse systems, data lake systems, and data pipelines in a cloud environment
- Experience with ETL tools Apache Spark or Talend or AWS Glue or AWS AirFlow or Kafka
- Experience using source control platforms like Gitlab or GitHub
- Experience delivering advance analytics solutions, reporting, and managing big data
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark).
- Experience with data modeling, ETL processes, and data warehousing
- Experience with API integration, streaming data and handling semi-structured data
- Experience with modern cloud infrastructure, container-based deployments, and storage architectures
- Experience working in an Agile environment and proficient using tools like Azure DevOps or Jira
- Experience with data visualization tools such as Tableau or Power BI
- Experience working in transportation or logistics industry
The application window is anticipated to close on 30 days from May 7, 2024.
At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.Hiring PhilosophyAll Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here.
Who We AreKBX Logistics, a Koch company and global leader in transportation, offers world-class, technology-driven capabilities across all modes of managed freight and transportation asset management. KBX is uniquely positioned to meet the challenges shippers face, leveraging decades of firsthand experience and data-driven insights from a large, diverse, and global business network. By building mutually beneficial partnerships and innovative technology, KBX creates a competitive advantage for its customers and meets the growing need for cost effective and reliable supply chain solutions. For more information on KBX, visit www.kbx.com.
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Our BenefitsOur goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
Equal OpportunitiesEqual Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please visit the following website for additional information: http://www.kochcareers.com/doc/Everify.pdf
Job Summary
Full Time
$106k-135k (estimate)
06/07/2024
07/06/2024
puzzlewood.com
Crockett, TX
<25
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The job skills required for Senior Data Engineer include Analysis, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior Data Engineer below and select your interested title to get hiring information.
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Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Engineer job description and responsibilities
The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.
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The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.
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Create architecture for real-time, big data applications with minimal maintenance effort.
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Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.
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Provides successful deployment and provisioning of data solutions to production or other required environments.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Engineer jobs
Apply for an entry-level data engineer role and gain experience.
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Earn a bachelor’s degree related to data engineering and begin working on projects.
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Consider pursuing additional professional engineering or big data certifications.
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Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.
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Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.
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Step 3: View the best colleges and universities for Senior Data Engineer.
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