Data Engineer

Responsibilities

• Design, develop, and institute automated workflows utilizing Python, GIS, SQL, Spotfire, Alteryx, MS Power Platform and more to minimize human error, standardize data, and apply data management best practices with a focus on data integrity and governance
• Develop and optimize existing and new expansion of the systems in place
• Design, develop, test, document, deploy, monitor, and support data pipelines
• Design and develop analytical dashboards using BI tools such as Spotfire and Databricks, as well as web-based frameworks including Shiny and React
• Work with domain experts, data scientists, engineers to understand needs, constraints, and limitations
• Develop ETL processes and maintain application integrations across multiple systems and data sources
• Prepare technical data for interpretation, conduct analyses and routine computer processing of the data, and help create final displays of the results often for formal presentations
• Willingness to learn, experiment, try new things, fail, and grow

Requirements

• Bachelor's in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, Geoscience, Analytics
• Must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products
• Driven by the prospect of optimizing or even re-designing company’s data architecture to support the next generation of products and data initiatives
• Functional in SQL with experience in querying relational databases, views, and normalized schemas
• Functional in programming (Python-preferred) with skills in algorithms, clean code, environment management
• Understanding and utilization of enterprise ETL tools; ex: Alteryx, Azure Synapse, Azure Data Factory
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets
• Strong project management and organizational skills
• Experience supporting and working with cross-functional teams in a dynamic environment
• Ability to identify opportunities for improvement / automation and development of existing workflows and processes
• Experience building and optimizing big data pipelines, architectures, and data sets
• Knowledge of Angular, Javascript, C#, Java programming languages
• Knowledge of cloud technologies: Azure database, AWS, GCP
• Expertise in Databricks and Snowflake
• Working knowledge of message queuing, stream processing, and highly scalable big data stores
• Oil & Gas industry experience

Technologies

• Python
• GIS
• SQL
• Spotfire
• Alteryx
• MS Power Platform
• Databricks
• Shiny
• React
• Angular
• Javascript
• C#
• Java
• Azure Synapse
• Azure Data Factory
• Azure
• AWS
• GCP
• Snowflake

Benefits

• Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life.
• Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match.
• Workplace Flexibility: Programs such as Flex your Day, ad-hoc flexibility around when and where you work, plus longer-term options like leaves of absence and part-time work
• Comprehensive medical, dental, and vision plans
• Culture of Health: Programs and resources to support wellbeing
• Employee Health Advisory Program: Confidential professional counseling for you and your family at no cost
• Disability Plan: Income replacement for illness or injury, on or off the job

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Job ID: 107782