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Assistant Python Contractor Jobs in Georgia (NOW HIRING)

DPR Construction

PCA Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Perform debugging, application issue resolution, root cause analysis, and assist in proactive ...

DPR Construction

Data Engineering Lead- Finance

Atlanta, GA · On-site

$110.10K - $132.20K/yr

... Python across internal and external systems. * Proactively manage data quality, error handling ... Perform debugging, application issue resolution, root cause analysis, and assist in proactive ...

Atlanta Regional

Data Analyst, Senior

Atlanta, GA · On-site +1

$64.67K - $87.30K/yr

... and partners. Assist in reviewing contractor proposals. * Innovation & Emerging Technology ... Proficiency in Python (Pandas, GeoPandas, Jupyter Notebook) and/or R for data analysis, modeling ...

Prosync

Junior Security Operations Engineer

Atlanta, GA · On-site

If you have prior military service or government contracting experience, are proud to serve and ... Working in tandem with TMI team to support M-21-31 mandate. * Assist with onboarding, integrating ...

Prosync

Junior Security Operations Engineer

Atlanta, GA · On-site

If you have prior military service or government contracting experience, are proud to serve and ... Working in tandem with TMI team to support M-21-31 mandate. * Assist with onboarding, integrating ...

Popular

$50.75 - $66/hr

Mentor and direct junior data modeler and contractor resources. * Facilitate integration of data ... High proficiency in data analysis and profiling using SQL and Python. * Strong experience with ...

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BI Data Engineer (Contractor)

Starr And Associates LLC

Atlanta, GA • Remote

$55 - $75/hr

Full-time

Posted 9 days ago

Job description

At Starr & Associates (S&A), we are a full-service business consulting firm delivering advisory and execution services across multiple industries and complex business domains. Data Engineers at S&A are embedded within client delivery teams to design, build, and support data integration and data enablement solutions that underpin analytics, reporting, and advanced analytical use cases.
Both Senior Data Engineers and Data Engineers perform core integration responsibilities. Senior Data Engineers are expected to bring additional experience supporting data science and advanced analytics use cases, while all Data Engineers focus on building reliable, scalable integration solutions across batch, near-real-time, and API-driven data flows.
Current client programs may include initiatives involving emissions-related data and environmental metrics, requiring strong attention to data accuracy, traceability, and governance. This role is structured to support deployment across multiple projects and industries over time.
Duties & Responsibilities
  • Data Integration: Design, develop, and maintain data integration pipelines across batch, near-real-time, and API-based patterns
  • Pipeline Development: Build scalable pipelines that ingest, transform, and persist data for downstream consumption
  • Platform Engineering: Develop solutions leveraging cloud-native data platforms and distributed processing frameworks
  • Advanced Analytics Enablement: For senior profiles, support data preparation patterns enabling data science and advanced modeling workflows
  • Data Quality & Validation: Implement validation, reconciliation, and monitoring to ensure data reliability
  • Security & Governance: Apply secure data handling, access controls, and governance standards
  • Requirements Collaboration: Partner with Business Analysts and Software Engineers to translate requirements into technical solutions
  • Testing & Deployment: Support testing, release, and deployment activities
  • Production Support: Assist with monitoring, troubleshooting, and issue resolution
  • Consulting Engagement Support: Operate effectively in a client-facing consulting delivery environment
Education
  • Bachelors Degree required
  • Preferred fields include Computer Science, Data Engineering, Information Systems, Engineering
Required Skills
  • Minimum 5+ years of experience in data engineering or data integration
  • Strong proficiency in SQL and relational data concepts
  • Experience building data pipelines using Databricks and Azure-based data platforms
  • Experience implementing batch, near-real-time, and API-driven integration patterns
  • Experience working with structured and semi-structured data
  • Understanding of cloud-native data architectures in Azure
  • Ability to support secure, governed data solutions
  • Experience delivering solutions in consulting or project-based environments
Nice-to-Have Skills (Preferred, Not Required)
  • Experience supporting data science or advanced analytics workloads
  • Familiarity with Python or Spark-based processing
  • Experience working with emissions or environmental datasets
  • Experience supporting analytics or reporting platforms
  • Experience contributing to large-scale or multi-year client programs

Required Competencies
  • Technical Execution: Delivers reliable, scalable data integration solutions
  • Analytical Thinking: Understands complex data flows and dependencies
  • Problem Solving: Resolves data integration and quality challenges
  • Collaboration: Works effectively with cross-functional delivery teams
  • Communication: Communicates technical concepts clearly
  • Adaptability: Adjusts to evolving platforms and requirements
  • Consulting Mindset: Operates with professionalism, accountability, and client focus

Flexible work from home options available.