Senior Data Engineer
Why YOU want this position
Since our founding as a groundbreaking provider of energy data, we have evolved our solutions to cover real estate, energy analytics, trading & risk, and business automation for customers across the energy industry.
Enverus represents this growth, while bringing us closer together as oneteam. Enverusdelivers business-critical insights to the global energy industry through a state-of-the-art SaaS platform built on industry-leading data and energy analytics.
Our solutions deliver value across the entire energy value chain, empowering customers to be more agile, efficient, and competitive.
The range of energy industry participants we serve includes real estate title companies, energy exploration and production (E&P) companies and related businesses such as oilfield services, midstream, capital markets, power generators and utilities, energy traders, and downstream commercial & industrial energy consumers.
Would you like to implement a unique data manufacturing platform built with modern platform and data technologies? As a Senior Data Engineer, you get to lead implementation of products of various size and complexity, influencing decisions on every step of the development cycle - from a prototype to production.
Join us on our journey as a member of Enverus’s development team in one of Calgary, AB, Denver, CO, Austin, TX, Houston, TX, Conshohocken, PA offices, or remote.
You would be joining the Data Manufacturing team collecting, transforming, and delivering presentation-ready data to Enverus Prism, our premier energy analytics platform.
Things We Value Most
Egoless Culture - We recognize as an organization that the work we are doing cannot be accomplished by a single individual.
As such we value tremendously everyone’s inputs at all levels. As one team, we strive to find the right balance between providing elegant solutions and time to market.
Job Knowledge - We support your professional growth as well as encourage you to share your knowledge within the organization.
Quality of Work - You care about what you do.
Customer Centric - We always keep external and internal customers in mind, constantly thinking How will this affect customers I work with? .
Communication - You not only accurately communicate a message but are an active listener. This is key to our team-oriented environment.
Respect - We believe respect is the basis of all relationships both inside and out.
Inclusivity - We are a diverse and international company with a focus on inclusivity and equality. This extends to a relaxed work style (we are not worried about how you dress, socks and sandals are ok by us).
Reliability - Be someone your team can rely on to finish what you start.
Integrity - Be honest and ethical in all your relationships and decisions.
Collaboration and Teamwork - Champion an environment that supports effective teamwork by earning the trust and respect of those around you.
Performance Objectives :
Engage and participate in all stages of the Software Development Life Cycle process : research, planning, design, development, testing, and deployment
Analyze, design, and implement low-latency, high-availability, and performant enterprise applications
Integrate backend data storage including relational database, key-value storage, and document / blob stores
Evaluate and enhance business requirements based on subject matter expertise and technical feasibility
Interpret and analyze high volume, heterogeneous data
Provide pragmatic solutions to complex business problems beyond simple CRUD operations
Develop reusable, maintainable, and efficient production ready code
Review and enforce code quality and standards
Write unit, integration, and end-to-end tests
Support and monitor infrastructure, application, database, etc.
Work and collaborate both independently and in a team
Lead projects and mentor junior team members
Vigilance in learning new technologies as needed to serve business growth
Brainstorm and prototype new solutions
Competitive candidate profile :
5 years of operational software development experience; advanced experience with Python
Familiarity with ETL processes
Exceptional attention to detail and focus on quality
Actively mentors less experienced peers
Strong analytical and problem-solving skills and well-versed with fundamental programming concepts and / or data structures and algorithms
Hands-on experience with databases, a good understanding of SQL concepts and practices in addition to strong relational database skills
Knowledge of and experience implementing the fundamental design patterns and principles needed to build performance-optimized and scalable applications
Experience implementing automated tests and unit tests
Good command of Git or similar source-control tools
Effective written and verbal communication
Preferred Candidate Experience :
Modern data engineering tools (Spark / PySpark, Pandas)
Strong computing foundation and fundamentals, including experience with Design Patterns
Workflow automation and scheduling
Monitoring and dashboard frameworks
Modern CI / CD and IaC (Infrastructure as Code)
Cloud infrastructure (AWS, Azure, GCP)
Docker / Kubernetes