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Temporary Python Sql Jobs in Texas (NOW HIRING)

HumCap, Inc.

Data Engineer

Dallas, TX

$113K - $136K/yr

This is a hands-on role -- you'll write SQL, build models, design reports, and work directly with ... Exposure to Python for data transformation, automation, or scripting * Understanding of revenue ...

Johnson Service Group

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Alteryx Solutions Architect and Delivery PM

Grand Prairie, TX · On-site

$155 - $195/hr

This position is a temporary (contract) position expected to last between 90-120 days. Contractors ... Utilize Alteryx and scripting languages (such as Python and SQL) to call third-party APIs via batch ...

Monitise

Production Capacity Planner

Stafford, TX · On-site

Analyze operational data using SQL, Python, Snowflake, and Power BI to generate reporting, control ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

Aquent

Data Analyst

Austin, TX · On-site

$65 - $70/hr

Temporary Salary: $65-70 Hourly Start Date: Sep 7, 2026 Aquent is partnering with a leading global ... Proficiency in programming languages and tools such as SQL, Python, Spark, and Databricks. * Strong ...

Aquent

Fraud Analytics & Strategy Manager

Irving, TX · On-site

$64 - $67/hr

Temporary Salary: $64-67 Hourly $65-67 / hourly as W2 Start Date: Oct 5, 2026 Fraud Analytics ... Query large-scale datasets using SAS, SQL, or open-source tools to identify behavioral patterns ...

TekWissen LLC

Software Dev Engineer IV

Dallas, TX · On-site

Dallas, TX 75240 Duration: 21 Months Job Type:  Temporary Assignment Work Type: Onsite * Design ... Experience must also involve JDBC, SQL, and Object Oriented design and design patterns. * Requires ...

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Temporary Python Sql information

What is a temporary Python SQL job?

Temporary Python SQL jobs are short-term positions that require proficiency in both the Python programming language and SQL (Structured Query Language). These roles often involve data analysis, database management, or application development, where employers need extra support for a specific project or busy period. Temporary workers may help write scripts to automate data tasks, query databases, or support data-driven decision-making. These jobs are ideal for people looking for flexible work or to gain experience in tech environments. They can last from a few weeks to several months, depending on the employer's needs.

What are the typical responsibilities and expectations for someone in a temporary Python SQL role?

In a Temporary Python SQL role, you can expect to work on short-term projects that involve developing scripts and tools using Python, as well as writing and optimizing SQL queries for data extraction, transformation, and analysis. You will often collaborate closely with data analysts, engineers, or business teams to meet specific project goals within tight deadlines. Adaptability and quick learning are important, as you may need to familiarize yourself with new databases or codebases rapidly. This role often provides valuable exposure to real-world datasets and can be a great opportunity to build hands-on experience in both programming and database management.

What are the key skills and qualifications needed to thrive as a temporary Python SQL developer, and why are they important?

To excel as a Temporary Python SQL Developer, you need strong programming skills in Python and SQL, often backed by a degree in computer science or relevant experience. Familiarity with databases like MySQL or PostgreSQL, version control systems (e.g., Git), and sometimes data analytics or ETL tools is typically required. Problem-solving ability, attention to detail, and adaptability are crucial soft skills for managing short-term projects and collaborating with teams. These competencies ensure you can deliver effective, efficient solutions within tight timelines and dynamic environments.

What is the difference between Temporary Python Sql vs Data Analyst?

AspectTemporary Python SqlData Analyst
Required CredentialsPython, SQL, basic data skillsStatistics, Excel, SQL, Python (optional)
Work EnvironmentProject-based, short-term roles, tech-focusedOffice or remote, ongoing analysis tasks
Employer & Industry UsageTech companies, startups, consultingFinance, marketing, healthcare, corporate
Search & Comparison IntentTemporary Python Sql vs Data Analyst

Temporary Python Sql roles focus on short-term projects requiring Python and SQL skills for data manipulation and analysis. Data Analysts often have similar skills but typically work in ongoing roles with broader responsibilities. Both roles are common in tech and corporate environments, but the temporary positions are more project-specific, while Data Analysts may have more stable, long-term employment.

What are the most commonly searched types of Python Sql jobs in Texas?

The most popular types of Python Sql jobs in Texas are:

What are popular job titles related to Temporary Python Sql jobs in Texas?

For Temporary Python Sql jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Temporary Python Sql jobs in Texas look for?

The top searched job categories for Temporary Python Sql jobs in Texas are:

What cities in Texas are hiring for Temporary Python Sql jobs?

Cities in Texas with the most Temporary Python Sql job openings:

Temporary Python Sql jobs near you
Infographic showing various Temporary Python Sql job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 8% Part Time, 6% Contract, and 1% Nights. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution.

Data Engineer

HumCap, Inc.

Dallas, TX

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

HumCap's client is looking for an Analytics / Reporting Engineer to join the Enterprise Reporting team. You'll build and maintain the data pipelines, dashboards, and reporting infrastructure that drive decision-making across the business. This is a hands-on role — you'll write SQL, build models, design reports, and work directly with stakeholders who depend on accurate, timely data.
What You'll Do
  • Design, build, and maintain reporting pipelines using dbt and Snowflake, transforming raw claims and operational data into clean, modeled datasets ready for analysis
  • Develop and publish interactive dashboards and reports in Power BI and Omni, translating complex business questions into clear visual answers
  • Write performant, well-structured SQL across both Snowflake and SQL Server environments
  • Partner with finance, operations, and compliance teams to define metrics, build scorecards, and deliver ad-hoc analyses
  • Own data quality — implement tests, validations, and monitoring to catch issues before stakeholders do
  • Document data models, business logic, and metric definitions so the team can scale without tribal knowledge
  • Contribute to the evolution of our analytics stack, tooling, and engineering practices
What We're Looking For
Required
  • 3+ years of experience in analytics engineering, BI development, or a similar data-focused role
  • Strong SQL skills — you can write complex queries with CTEs, window functions, and set-based logic without leaning on cursors or temp tables
  • Hands-on experience with Snowflake (warehousing, performance tuning, schema design)
  • Experience building and maintaining dbt models (staging, intermediate, mart layers; tests; documentation)
  • Proficiency with Power BI (data modeling, DAX measures, report design, publishing)
  • Experience with Omni or similar modern BI/semantic layer tools
  • Comfort working with healthcare data concepts (claims, CPT codes, payer/provider relationships) or willingness to learn quickly
  • Clear communicator who can explain data findings to non-technical stakeholders without jargon
Preferred
  • Experience with Claude (Anthropic's AI assistant) for accelerating analytics workflows — prompt engineering, code generation, document analysis, or building AI-augmented reporting tools
  • Familiarity with MCP (Model Context Protocol) integrations or AI-assisted development environments
  • Background in healthcare dispute resolution, arbitration, or insurance claims processing
  • Experience with Azure DevOps for version control and project management
  • Exposure to Python for data transformation, automation, or scripting
  • Understanding of revenue cycle, regulatory reporting, or compliance analytics
What You'll Work With
  • Data Warehouse: Snowflake (CORE.REPORTING schema and related layers)
  • Databases: SQL Server (multiple environments)
  • Modeling: dbt (Cloud or Core)
  • BI & Visualization: Power BI, Omni
  • AI Tooling: Claude Desktop, Claude Code, MCP server integrations
  • Project Management: Azure DevOps
Why This Role
You won't be maintaining dashboards someone else designed three years ago. You'll be building the reporting infrastructure for a fast-moving healthcare analytics operation, working with modern tools, and integrating AI into real workflows — not as a gimmick, but as a daily productivity multiplier. If you like solving hard data problems and shipping things that people actually use, this is the role.
Benefits:
  • Competitive salary
  • Hybrid work environment
  • Medical, dental, and vision insurance
  • 401K matching program
  • PTO