Vital Energy

Sr Data Engineer

Job description

Company: Vital Energy, a forward-focused digital upstream oil and gas enterprise.

About Vital Energy

Based in Tulsa, OK, Vital Energy stands as a paragon of innovation within the upstream oil and gas sector. As a nexus between state-of-the-art technology and energy resource management, we have transformed the paradigm of operational efficacy through our innovative approaches. Not just a name, but a movement within the industry, Vital Energy epitomizes cutting-edge innovation, setting standards, and leading the charge with solutions that chart the future.

Our E&P Approach

In every aspect of our operations, we strive to optimize capital efficiency, so we can develop more assets, provide more jobs and bring more energy to the world to positively impact more lives. We continually refine our portfolio of holdings, acquiring acreage with high oil cuts and divesting lower-margin assets. We seek to create efficiencies in our approaches to drilling, completions, crews, materials, transport, and all other facets of our business. In the end, Vital Energy produces something beyond oil and gas. We create value for our stakeholders, and for every human empowered by the energy we help to bring forth.

High productivity, every acre

Vital Energy acquires and develops oil and gas resources in the largest and most productive hydrocarbon region in the world, the Permian Basin. We focus on this thriving area because it best meets our goal to make energy plentiful and accessible to humanity, responsibly, over the long term. While our current holdings are fully within the Permian, our acquisition and development strategy considers all high-margin assets that can help sustain our business and fuel our purpose.

Better decisions through digital

Vital Energy Embraces Digital Transformation Like No Other Company In Our Space. We Believe The Potential For Profound Progress In Our Industry Is Limitless. This Is Our Mindset. And It Has Spurred Us To Make Several High-impact Advancements. A Few Highlights Include

  • Dynamic Routing | Using AI algorithms, we optimally route lease operators to the highest value opportunities in the field.
  • Emissions Prevention | Computer vision and thermal cameras detect flaring and venting events, prompting fast remediation and prevention of further releases.
  • Optimal Chemical Usage | Water rates are fed to the cloud and IoT devices automatically adjust chemical injection rates.
  • ESP Well Optimization | AI algorithms automatically adjust back pressure, pump speed and other settings to maximize production and well life.

This is just the beginning. We see immense opportunities to harness the power of data to drive efficiency, improve decision-making, so we can produce more energy in better ways to sustainably power our planet.

Why Choose Vital Energy?

  • Innovation-Driven Impact: Vital Energy doesn't simply toe the line. We're at the forefront, ensuring that our operations reflect the latest in technological advances, propelling the industry into the future.
  • Acknowledged Excellence: With AI at the helm, our intricate adjustments to artificial lift and chemical pump settings, combined with the adept utilization of real-time field surveillance data, have crafted new benchmarks recognized widely across the sector.
  • Tangible Results: Our commitment to digital transformation is not mere rhetoric. We’ve actualized our aspirations, as illustrated by our significant upticks: a 2-3% increase in field production, 15% enhancement in gas lift run time, and a 4% rise in ESP run time.
  • Investor Confidence: Our technological strides aren't just internal milestones. They're central talking points during our investor interactions, reflecting the confidence and trust our stakeholders place in our vision.
  • Holistic Growth: Beyond mere operational achievements, our emphasis on change leadership and the integration of unique technologies fosters a culture ripe for continuous evolution and growth.

Role Description

As the Senior Data Engineer at our oil and gas company, you will be responsible for developing, implementing, and maintaining our data infrastructure and pipelines to support the efficient and effective collection, storage, and analysis of large volumes of diverse data. You will work closely with cross-functional teams, including data scientists and analysts, to design and optimize data models and algorithms for complex data mining and predictive analytics projects. Additionally, you will be expected to lead a team of data engineers and provide technical guidance and expertise to ensure the integrity, security, and scalability of our data systems. Your in-depth knowledge of data management and ETL processes, along with your passion for innovation and emerging technologies, will be instrumental in unlocking the value of our data assets and driving data-driven decision making throughout our organization.

At Vital Energy, you will be more than just a Data Engineer. You'll be at the heart of a team shaping the future of the oil and gas industry. Step into our world in Tulsa, and together, let's revolutionize the energy landscape.

Technical Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field. An advanced degree is a plus.
  • 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.
  • Extensive hands-on experience with big data technologies and frameworks.
  • Exceptional expertise in AWS serverless technologies, including Lambda, Step Functions, and API Gateway, with a track record of designing and implementing serverless data solutions.
  • In-depth knowledge of AWS data services, including Amazon S3 for data storage, AWS Glue for data preparation, and Amazon Athena for consumption.
  • Proficiency in building and optimizing data pipelines on AWS using services such as AWS Data Pipeline or AWS Glue.
  • Familiarity with AWS streaming data services like Amazon Kinesis for real-time data processing.
  • Strong understanding of data modeling, ETL processes, data normalization/denormalization, and master data management principles within an AWS serverless context.
  • Experience with version control systems (e.g., Git) and code deployment strategies within AWS.
  • Proven ability to work with infrastructure as code (IAC) tools like AWS CloudFormation or Terraform for managing serverless infrastructure.
  • Excellent problem-solving and analytical skills, with the ability to translate complex business requirements into technical specifications within the AWS serverless framework.
  • Knowledge of best practices for security and compliance in AWS, including IAM roles and policies.
  • Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and present complex ideas related to AWS serverless solutions to non-technical stakeholders.
  • Experience with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) within the AWS ecosystem is a plus.

Key Responsibilities

  • Develop and implement scalable and efficient data pipelines for capturing, processing, and storing large volumes of structured and unstructured data from various internal and external sources.
  • Collaborate with cross-functional teams to understand business requirements, data needs, and challenges, and design comprehensive solutions to address them.
  • Architect, build, and optimize data integration frameworks and platforms to ensure seamless data exchange between internal systems, external partners, and cloud-based services.
  • Design and implement real-time and batch data processing systems to support analytics, reporting, and business intelligence initiatives.
  • Establish data governance practices, data quality standards, and data security protocols to maintain the integrity, confidentiality, and availability of corporate data assets.
  • Monitor and analyze data pipelines for performance, reliability, and efficiency, and proactively address any issues or bottlenecks.
  • Stay up-to-date with emerging technologies, industry trends, and best practices in data engineering and leverage them to drive innovation and optimization within the organization.
  • Lead and mentor junior data engineers, providing guidance and support in their professional growth and development.


Salary is commensurate with experience.

Working Conditions

Work is normally performed in a climate-controlled environment, where exposure to conditions of extreme heat/cold, poor ventilation, fumes and gases is very limited. Noise level is moderate and includes sounds of a normal office environment. No environmental hazards are encountered in performance of normal job duties.

Physical Demands

Work normally requires finger dexterity and eye-hand coordination to operate computer keyboard at moderate skill level. Work may require occasional pushing, pulling, or carrying 20-pound objects such as files, documents, boxes, etc. Work involves sitting most of the time, but may involve standing and walking for brief periods. Travel is occasionally required.

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