Senior Data Engineer
Not Disclosed•Full-TimeOn-site
location_onNorth Olive Street, Klyde Warren Park-Arts District PID, Downtown PID, Dallas, Dallas County, Texas, 75201, United States
About the Team
The DMET (Data Management, Enablement and Transformation) team is dedicated to developing a long-term sustainable capability that leverages data and technology to transform tax and finance functions. This diverse group includes multiple teams focused on data platform technologies, specific data products, and transformation initiatives with a strong emphasis on data security. Our strategy empowers finance and tax organizations to create superior value while consuming fewer resources, unlocking analytical capabilities, mitigating risk, and meeting ever-changing regulatory requirements.
About the Role
As a Data Engineer, you will play a critical role in transforming how we design, develop, and implement robust data pipelines to enable seamless data flow and support various initiatives at Koch Industries. This position requires hands-on expertise in SQL and Python coding and acts as a Subject Matter Expert (SME) in data engineering, helping position the organization for scalability and future industry advancements. You will partner closely with solution and data architects on design and implementation, collaborating with various capability teams to drive effective and scalable data solutions.
Our Culture
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. Our work spans a vast number of industries across the world, including engineered technology, refining, chemicals and polymers, pulp and paper, glass, electronics, and many more. Headquartered in Wichita, Kansas, Koch employs about 120,000 employees globally. At Koch, employees are empowered to do what they do best to make life better, unleashing their potential while creating value for themselves and the company.
We value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers.
Location & Eligibility
This role can be located in Wichita, KS, Plano, TX, or Atlanta, GA and requires an onsite presence with flexibility. Please note that this role is not eligible for VISA sponsorship.
Hiring Process
If you have questions regarding the flexibility and detail of our compensation philosophy, please speak to your recruiter. For more information on our hiring philosophy, please visit our dedicated page.
Work location
Work model: On-site
North Olive Street, Klyde Warren Park-Arts District PID, Downtown PID, Dallas, Dallas County, Texas, 75201, United States
Dallas, Texas
Key Responsibilities
- check_circleWrite efficient SQL and Python code to create, implement, and optimize data pipelines
- check_circleCollaborate with architecture teams to design and implement scalable data solutions
- check_circleApply SDLC and AIDLC frameworks for requirements gathering, development, testing, and deployment
- check_circleServe as a Subject Matter Expert to guide cross-functional teams on data engineering
- check_circleSupport data governance, quality initiatives, and ensure compliance with security policies
- check_circleDocument data architecture designs, pipeline workflows, and best practices
- check_circleParticipate in Agile ceremonies including sprint planning, stand-ups, and retrospectives
Requirements
- verifiedProven experience coding in SQL and Python
- verifiedHands-on experience collaborating with architecture teams
- verifiedStrong understanding of SDLC and AIDLC frameworks
- verifiedPractical experience working in Agile development environments
- verifiedNot eligible for VISA sponsorship
Nice to Have
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. Prior exposure to 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 & Perks
check_circleMedical, dental, and vision insurancecheck_circleFlexible spending and health savings accountscheck_circleLife insurance and disability coveragecheck_circleRetirement plancheck_circlePaid vacation and time offcheck_circleEducational assistancecheck_circleInfertility assistancecheck_circlePaid parental leavecheck_circleAdoption assistance
