Data Engineer
7 days ago
Koch Capabilities is building something new and valuable, a data platform that enables efficient and repeatable process transformation across our enterprise and makes many types of data available for automation and analytics that was not previously possible. Developing this new platform in support of our Innovation Vision will be critical to our success at Koch Industries. The Data Engineer role is a key part of the security product team, working closely with the security product owner, architect, and analyst to build and execute the security model and policy to protect our sensitive information by partnering with the data products and shared capabilities.
Our Team
The DMET (Data Management, Enablement and Transformation) team is focused on developing a long-term sustainable capability utilizing data and technology to transform 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 fewer resources, unlocking analytical capabilities, mitigating risk, and meeting ever-changing regulatory requirements.
What You Will Do
- Design and build end to end SQL and NoSQL database solutions. This includes translating business requirements, recommending technologies, developing code, mentoring team members, and overseeing QA and Production deployment processes.
- Load and process disparate data sets using technologies including but not limited to DBT, PostgreSQL, Elastic search, Snowflake, Spark, Java, and Python.
- Work with teams to enforce compliance with security standards.
- Provide tier III support as needed for issues relating to security.
- Consult with teams evaluating new data products, tools and technology for the platform to provide input from a security lens.
- Code applications that adhere to enterprise design patterns.
- Resolve technical issues through debugging, research, and investigation.
- Ensure compliance with Koch policies around cloud networking and data security.
- Hands-on experience in data engineering, data modeling.
- Experience building, scaling, optimizing, and maintaining high volume systems.
- Strong coding experience in developing enterprise applications using Python, Java, and SQL.
- Experience DevOps/DataOps and CI/CD toolset such as git, GitLab CI, GitHub Actions.
- Experience in data pipeline engineering and associated development patterns.
- Experience securing and auditing custom built applications and network policies.
- Experience with Snowflake Data Cloud and its SQL and Snowpark client tools.
- Experience with DBT development and support.
- Experience with semi-structured data storage objects like Parquet, JSON, and YML.
- Experience working in an Agile SCRUM team.
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 Philosophy
All 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 Are
As a Koch company, Koch Global Services (KGS) creates solutions spanning technology, human resources, finance, project management and anything else our businesses need. With locations in India, Mexico, Poland and the United States, our employees have the opportunity to make a global impact.
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.
#LI-HH2
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