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No C2C Submissions 1- year contract Hybrid (3-days per week on-site, in Houston, TX) This hands-on consulting role supports a fast-paced energy management team focused on data engineering, data pipelines, data warehousing, and ETRM systems. The ideal candidate will have expert-level experience with Microsoft SQL Server and SSIS, knowledge of energy trading processes, and strong skills in Python, data modeling, and data warehousing best practices. Required Qualifications & Experience •Expert-level experience with Microsoft SQL Server, including database design, query optimization, performance tuning, stored procedures, and ETL development using SQL Server Integration Services (SSIS). •Strong experience developing and maintaining reporting solutions using SQL Server Reporting Services (SSRS) or comparable enterprise reporting platforms. •Hands-on experience working with Oracle databases, including data extraction, integration, performance analysis, and SQL development. •Proficiency in Python development, with a focus on data engineering, ETL processes, API integrations, automation, and data transformation workflows. •Strong understanding of Python data analysis and processing libraries, including Pandas, NumPy, and related frameworks used for large-scale data manipulation and analytics. •Experience designing, building, and supporting data pipelines that integrate data from multiple internal and external systems. •Working knowledge of business intelligence and data visualization tools such as Power BI and/or Tableau, including dashboard development, reporting, and data storytelling. •Familiarity with the Microsoft Power Platform, including Power Apps and Power Automate, to support workflow automation, business process improvement, and low-code application development. •Knowledge of data warehousing concepts, dimensional modeling, and best practices for data governance, data quality, and metadata management. •Experience working with time-series data, market data, pricing models, forecasting models, or financial and commodity trading datasets preferred. •Ability to assess, cleanse, validate, and integrate large datasets from diverse sources •Experience supporting Energy Trading and Risk Management (ETRM) platforms and an understanding of energy market operations, trading processes, scheduling, settlements, or risk management is highly desirable. •Strong analytical, troubleshooting, and problem-solving skills with the ability to identify root causes and implement sustainable solutions. •Experience creating, maintaining, and improving technical documentation, data dictionaries, process documentation, and operational procedures. Education and Minimum Experience •Bachelor’s degree in Computer Science, Engineering, MIS or related discipline/experience
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.