Data Engineer (Contract, Remote)
IT Services and IT Consulting · 11-50 employees
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About the role
The roles involve designing, building, and maintaining scalable data pipelines, cloud infrastructure, and analytical dashboards to support business decision-making. Responsibilities also include ensuring data quality, automating infrastructure, and collaborating across technical and business teams.
What they look for
Requirements
Candidates must possess strong SQL and data modeling skills along with experience in cloud platforms like AWS, Azure, or GCP. Proficiency in Python, BI tools, and infrastructure-as-code tools such as Terraform is required, alongside 5+ years of relevant work experience.
Full description
This is a remote position.
Data Engineer
Role Overview
Design, build, and maintain scalable data pipelines that power analytics, reporting, and downstream applications.
Responsibilities
• Build and maintain ETL and ELT pipelines
• Design and optimize data models in cloud data warehouses
• Ensure data quality, reliability, and performance
• Integrate data from APIs, databases, and third-party tools
• Collaborate with analytics, BI, and product teams
Requirements
• Strong SQL and data modeling skills
• Experience with Python or similar languages
• Experience with cloud platforms such as AWS, Azure, or GCP
• Familiarity with tools like Airflow, dbt, Spark, or similar
• Experience with modern data warehouses
Data Analyst
Role Overview
Analyze data to generate insights that inform business decisions, performance tracking, and strategy.
Responsibilities
- Analyze large datasets to identify trends and opportunities
- Build dashboards and reports for stakeholders
- Translate business questions into data analysis
- Validate data accuracy and consistency
- Partner with business and technical teams
Requirements
- Advanced SQL skills
- Experience with BI tools such as Power BI, Tableau, or Looker
- Strong analytical and problem-solving skills
- Ability to communicate insights clearly to non-technical audiences
- Experience working with structured datasets
Business Intelligence Engineer
Role Overview
Own the analytics layer by designing data models, dashboards, and metrics that support executive and operational decision-making.
Responsibilities
- Build and maintain BI data models and semantic layers
- Develop dashboards and standardized reports
- Define and maintain business metrics and KPIs
- Partner closely with data engineering and business teams
- Ensure data consistency across reporting tools
Requirements
- Strong SQL and data modeling experience
- Hands-on experience with BI platforms
- Understanding of data warehousing concepts
- Experience with dbt or similar transformation tools preferred
- Strong stakeholder communication skills
Cloud Engineer
Role Overview
Design, deploy, and manage cloud infrastructure that supports scalable, secure, and reliable systems.
Responsibilities
- Design and maintain cloud infrastructure
- Automate infrastructure using IaC tools
- Monitor performance, security, and availability
- Support CI/CD pipelines and deployment processes
- Collaborate with engineering and DevOps teams
Requirements
- Experience with AWS, Azure, or GCP
Strong knowledge of networking, security, and cloud services
- Experience with Terraform, ARM, or CloudFormation
- Familiarity with containers and orchestration tools
- Strong troubleshooting and optimization skills
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