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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analytics Engineer - **Company:** INFT Solutions inc - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Business Logic, Big Data, Spreadsheets, Information Systems, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Structures, Python (Programming Language), SQL Databases, Data Streaming, Systems Integration, Sql Optimization, Information Technology, Data Management, Spotfire, Data Inconsistencies, Data Pipelines, Databricks - **Published:** August 19, 2026 - **Apply:** https://www.dice.com/job-detail/71b8174e-1f6d-433e-9eed-5f64b05704a0 ## About the Role * Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or related discipline. * 5+ years of experience in analytics engineering, data engineering, business intelligence, or advanced analytics. * Advanced SQL skills and proven experience working with large, complex datasets. * Strong Python programming experience for data engineering and analytics applications. * Hands-on experience developing solutions within Databricks. * Experience designing and maintaining modern ELT/ETL pipelines. * Understanding of data modeling, data architecture, and data product design principles. Analytics Platforms * Experience developing analytics solutions using Spotfire. * Experience supporting or integrating analytical applications and business workflows. * Strong understanding of how data structures influence reporting, forecasting, and decision-making. Business & Leadership Skills * Strong problem-solving and analytical thinking capabilities. * Ability to translate business challenges into scalable technical solutions. * Excellent communication and stakeholder management skills. * Demonstrated ability to influence across technical and business teams. Preferred Qualifications * Experience in Oil & Gas, particularly Unconventional Resources. * Experience with ComboCurve forecasting and economic evaluation workflows. * Understanding of: * Reservoir Engineering * Asset Planning * Economics & Capital Allocation * Familiarity with data governance and master data management practices. * Experience developing enterprise-scale analytical data products. ## Description Data Product Ownership * Design, develop, and maintain analytics-ready data products supporting forecasting, economics, planning, drilling, completions, and production workflows. * Establish trusted datasets and business logic that serve as authoritative sources for key analytical processes. * Partner with business stakeholders to prioritize data product enhancements and new capabilities. Databricks Data Engineering * Develop scalable data pipelines and transformation processes within Databricks using SQL and Python. * Integrate data from operational, corporate, and third-party sources into a unified analytical environment. * Optimize data models and architectures to improve performance, usability, and scalability. * Implement automated workflows that reduce manual data preparation and spreadsheet-based processes. ComboCurve Integration & Enablement * Support and enhance data flows feeding ComboCurve forecasting and economic workflows. * Ensure forecasting and economic analyses are based on consistent, validated, and auditable datasets. * Collaborate with engineers and economists to streamline data preparation and model execution. * Improve traceability and transparency of inputs used in forecasting and economic evaluations. Spotfire Analytics Enablement * Develop and maintain curated datasets optimized for Spotfire dashboards and self-service analytics. * Partner with stakeholders to improve data accessibility and visualization capabilities. * Ensure consistency between Spotfire reporting, ComboCurve outputs, and enterprise data sources. * Enable users to gain insights quickly through well-designed analytical data structures. Data Quality & Governance * Establish data quality standards, validation rules, and monitoring processes. * Identify and resolve data inconsistencies across systems and workflows. * Develop business metadata, documentation, lineage, and governance practices. * Promote a culture of data accountability and continuous improvement. *, * Establish trusted and governed datasets supporting major forecasting and economics workflows. * Reduce time engineers and analysts spend validating and preparing data. * Improve consistency across Databricks, ComboCurve, Spotfire, and enterprise reporting systems. * Implement automated data quality monitoring and exception reporting. * Create scalable data foundations that accelerate future analytics and AI initiatives. * ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)