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Senior Data Engineer

2 months ago

Tulsa, Oklahoma, United States Laredo Petroleum Full time
About Vital Energy

Vital Energy is a forward-thinking digital upstream oil and gas enterprise based in Tulsa, OK. We're a paragon of innovation in the industry, leveraging cutting-edge technology to optimize capital efficiency and develop more assets.

Our Approach

We continually refine our portfolio of holdings, acquiring acreage with high oil cuts and divesting lower-margin assets. Our focus is on creating efficiencies in drilling, completions, crews, materials, transport, and all other facets of our business.

Key Highlights
  • Dynamic Routing: AI algorithms optimize lease operator routing to highest-value opportunities.
  • Emissions Prevention: Computer vision and thermal cameras detect flaring and venting events, prompting fast remediation.
  • Optimal Chemical Usage: Water rates are fed to the cloud, and IoT devices adjust chemical injection rates.
  • ESP Well Optimization: AI algorithms adjust back pressure, pump speed, and other settings to maximize production and well life.
Why Choose Vital Energy?

We're at the forefront of innovation, ensuring our operations reflect the latest technological advances. Our commitment to digital transformation has yielded significant upticks in field production, gas lift run time, and ESP run time.

Role Description

As the Senior Data Engineer, you'll develop, implement, and maintain our data infrastructure and pipelines to support efficient and effective data collection, storage, and analysis. You'll work closely with cross-functional teams to design and optimize data models and algorithms for complex data mining and predictive analytics projects.

Technical Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience (5+ years) working as a Data Engineer, with a focus on designing, developing, and implementing data integration and processing solutions.
  • Strong proficiency in programming languages such as Python, PySpark, or Scala, and expertise in distributed SQL and database technologies.
Key Responsibilities
  • Develop and implement scalable and efficient data pipelines for capturing, processing, and storing large volumes of structured and unstructured data.
  • Collaborate with cross-functional teams to understand business requirements, data needs, and challenges, and design comprehensive solutions to address them.
  • Establish data governance practices, data quality standards, and data security protocols to maintain the integrity, confidentiality, and availability of corporate data assets.