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Seasonal Data Engineer Python Jobs in Laredo, TX

bcbl

Business Intelligence Report Developer

Laredo, TX · On-site +1

Working closely with Business Analysts, Data Architects and stakeholders across the business, the ... Knowledge of GIT, SQL Server performance tuning, or analytics languages (e.g., R, Python) is a plus

Quora

AI Automation Engineer -Remote

Laredo, TX · On-site

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

Danaher

Digital Analyst Internships

Laredo, TX · On-site

$84K - $99K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

FocusKPI

Marketing Operations Analyst

Laredo, TX · On-site

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ... Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and ...

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Seasonal Data Engineer Python information

See Laredo, TX salary details

$40.4K

$144.9K

$213.7K

How much do seasonal data engineer python jobs pay per year?

As of Jul 14, 2026, the average yearly pay for seasonal data engineer python in Laredo, TX is $144,853.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,200.00 and $149,200.00 per year, depending on experience, location, and employer.

What is the difference between Seasonal Data Engineer Python vs Data Analyst?

AspectSeasonal Data Engineer PythonData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; Python proficiency; SQL knowledgeBachelor's in Statistics, Math, or related; Excel, SQL, and data visualization skills
Work EnvironmentProject-based, often in tech or finance sectors, with focus on data pipelinesBusiness-focused, in various industries, analyzing data to inform decisions
Employer & Industry UsageTech companies, finance, retail during seasonal peaksCorporate, marketing, healthcare, and other sectors
Common Search & ComparisonYesYes

Seasonal Data Engineer Python roles focus on building and maintaining data pipelines using Python, especially during peak seasons. Data Analysts interpret data to generate insights and reports. While both roles require data skills, Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and visualization.

Seasonal Data Engineer Python jobs near you

Business Intelligence Report Developer

bcbl

Laredo, TX • On-site, Remote

Other

Retirement

Re-posted 16 days ago

Job description

Buckland is looking for a Business Intelligence Report Developer

What you’ll be doing

This role will focus on the design, development, and delivery of reports and dashboards to support strategic and operational decision-making across the organization. Working closely with Business Analysts, Data Architects and stakeholders across the business, the Business Intelligence Report Developer will transform data into meaningful visualizations and insights, leveraging both SQL Server Reporting Services (SSRS) and Power BI.

What we can offer you

  • Competitive, benefits package, and matching retirement savings plan
  • A friendly, collaborative work environment
  • Opportunities for professional development & ongoing learning.
  • A chance to be part of a growing organization
  • Remote work arrangement available for applicants who are not local to a Buckland office

 

You will be responsible for

  • Design, develop, deploy, and maintain reports and dashboards using SSRS and Power BI
  • Interpret business requirements and translate them into technical reporting specifications
  • Optimize SQL queries and data sources to ensure high-performing reports and dashboards
  • Partner with Business Analysts and stakeholders to identify reporting needs and provide data-driven insights
  • Maintain and improve existing reports and reporting frameworks, ensuring accuracy and consistency
  • Develop documentation for data models, report logic, and technical specifications
  • Conduct unit testing and peer reviews for report quality assurance.
  • Support data validation and reconciliation efforts
  • Stay current with BI tools, techniques, and best practices.
  • Other duties as assigned

 

What we need from you

  • Bachelor’s degree in computer science, Information Technology, or a related field, or equivalent experience
  • 2–5 years of hands-on experience with SSRS and Power BI in enterprise environments
  • Strong SQL skills and experience working with Microsoft SQL Server (2016+)
  • Experience in developing paginated reports and dashboards based on complex data models
  • Familiarity with data warehousing principles and dimensional modeling
  • Strong troubleshooting, problem-solving, and documentation skills
  • Ability to communicate effectively with both technical and non-technical audiences
  • Experience in customs brokerage, logistics, or supply chain is an asset.
  • Knowledge of GIT, SQL Server performance tuning, or analytics languages (e.g., R, Python) is a plus
  • Bilingual an asset (fluent in both Spanish/English)
  • Must be legally eligible to work for the Company at all times
  • Valid Passport and ability to occasionally travel if required to other offices locations in CAD/USA/MEX

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