More jobs:
Python Developer
Job in
Houston, Harris County, Texas, 77246, USA
Listed on 2026-06-03
Listing for:
Acro Service Corp
Contract
position Listed on 2026-06-03
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst
Job Description & How to Apply Below
Duration: 06 Months Contract (Possibility of Extension)
Location:
Houston, TX (Hybrid)
Payrate: $50-55 per hour on w2, without benefits
Interview Rounds- Round 1 Skills Assessment: via Teams
- Round 2 Skills Assessment:
In person, technical assessment. Candidate must bring their own laptop for onsite test
- You will build direct relationships with key analysts and commercial stakeholders, understand their business requirements and immediate goals, and build effective technical solutions based on their guidance.
- Build efficient, resilient and innovative solutions using modern data analytics technologies (including Dataiku, Power BI and Plotly Dash), that enable analysts, inform decision making and drive revenue generation.
- Design and build scalable, reusable components and frameworks in-line with mandated architectures.
- Bachelor’s degree in computer science or a related technical field (e.g., Software Engineering, Electrical Engineering, Mathematics, Physics).
- Fluent English knowledge and ability to communicate effectively, both verbally and in writing.
- Demonstrated experience with Python programming for data analysis, including working knowledge of libraries such as pandas, Num Py, and Jupyter.
- Experience in Object-Oriented Programming, ability to design intuitive, maintainable classes while effectively utilizing design patterns.
- Working knowledge of SQL and relational database systems.
- Familiarity with cloud computing concepts, preferably AWS.
- Exposure of data visualization tools and frameworks (e.g., Plotly, Dash, Power BI).
- Strong analytical, reasoning, and mathematical skills.
- Familiarity with energy markets (e.g. oil, natural gas, low-carbon, LNG, or power).
- Exposure time series forecasting, econometrics, or optimization techniques.
- Experience working with data science platforms such as Dataiku.
- Interest in UX design and end-user-focused development.
- Industry experience of large-scale data analysis and predictive modelling, preferably in an investment bank, hedge fund or energy major.
- Familiarity with the scientific Python stack, including scikit-learn, Sci Py, and stats models.
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