Proaction Careers

Sr Data Engineer Remote

Job Description: Better decisions through digital Company 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. • Innovation-Driven Impact: The company 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. 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. . 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.

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