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Senior Data EngineerKochUnited States
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Senior Data Engineer

Koch
  • US
    United States
  • US
    United States

À propos

Senior Data Engineer
Join to apply for the Senior Data Engineer role at Koch Overview
The Data Engineer will play a critical role in transforming the way we design, develop, and implement robust data pipelines to enable seamless data flow and support various initiatives at Koch Industries. This role requires hands?on expertise in SQL and Python coding and acts as a Subject Matter Expert (SME) in data engineering, helping position us for scalability and future industry advancements. The Data Engineer will partner closely with solution and data architects on design and implementation, collaborating with various capability teams to drive effective and scalable data solutions. Team
The DMET (Data Management, Enablement and Transformation) team is focused on developing a long?term sustainable capability utilizing data and technology to transform tax and finance. This includes a diverse group with multiple teams focused on data platform technologies, specific data products and transformation with an emphasis on data security. Our strategy will empower the finance and tax organizations to create superior value while consuming few resources, unlocking analytical capabilities, mitigating risk, and meeting ever changing regulatory requirements. Location
This role can be located in Wichita, KS / Plano, TX / Atlanta, GA and requires an onsite presence 5 days/week. Eligibility
This role is not eligible for VISA sponsorship. What You Will Do Write efficient, maintainable SQL and Python code to create, implement, and optimize data pipelines ensuring high data quality and flow across systems. Collaborate closely with architecture teams to design and implement scalable data solutions aligned with enterprise architecture standards. Apply a thorough understanding of the full Software Development Life Cycle (SDLC) and AI Development Life Cycle (AIDLC) frameworks, including requirements gathering, development, testing, deployment, and maintenance phases. Work within Agile frameworks to deliver incremental value, participate in sprint planning, stand?ups, retrospectives, and continuous improvement activities. Serve as a trusted Subject Matter Expert (SME) for data engineering, providing guidance and domain knowledge when interacting with cross?functional teams from various business and technical capabilities. Support data governance, data quality initiatives, and ensure compliance with security and privacy policies. Document data architecture designs, pipeline workflows, and best practices to promote knowledge sharing and operational excellence.
Basic Qualifications
Proven experience coding in SQL and Python for building and maintaining data pipelines. Hands?on experience collaborating with architecture teams to implement data solutions. Strong understanding of the full SDLC and practical experience working in Agile development environments. Excellent communication skills, with the ability to clearly articulate technical concepts to non?technical stakeholders and act as an SME across teams.
What Will Put You Ahead
Familiarity with dbt (Data Build Tool) for data transformation and modeling. Strong experience working with Snowflake data warehouse and cloud infrastructure in AWS. Proficiency with GitHub or similar version control tools for collaborative development. Prior exposure to other orchestration or pipeline tools, such as Apache Airflow or Prefect. Experience with distributed events and stream?processing, such as Kafka. Experience with observability tools, such as Grafana or Datadog. Understanding of data governance, security protocols, and compliance. Knowledge or hands?on experience with AI/ML concepts, frameworks, or model deployment.
Benefits
Our 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. Equal Opportunities
Equal 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 click here for additional information. (For Illinois E?Verify information click here, aqu, or tu). #J-18808-Ljbffr
  • United States

Compétences linguistiques

  • English
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