> Markdown version of [/jobs/ext/3322565-senior-data-engineer-contract](https://www.wearedevelopers.com/jobs/ext/3322565-senior-data-engineer-contract). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer (Contract) - **Company:** Colaberry Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $208,000.0 - $332,800.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Bash Shell, Big Data, Cloud Computing, Computer Programming, Databases, Information Engineering, Extract Transform Load (ETL), Data Security, Data Visualization, Data Warehousing, Database Design, Dimensional Modeling, Apache Hadoop, Apache Hive, Python (Programming Language), Unix Shell, Microsoft SQL Server, Oracle (Applications), Cloud Services, Azure Data Lake, Shell Script, Software Engineering, SQL Databases, Data Streaming, Talend, Scripting, Apache Spark, Data Strategy, Optimization Algorithms, Vba Programming Language, Data Management, Restful APIs, Looker Analytics, Data Pipelines - **Published:** September 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=feb309dc36a3ade0 ## About the Role We are seeking dynamic and detail-oriented Senior Data Engineers (Contract) to join our innovative data team. In this role, you will be instrumental in designing, developing, and maintaining robust data pipelines and systems that empower data-driven decision-making across the organization. Your expertise will help transform complex data into actionable insights, supporting strategic initiatives and business growth. This is an exciting opportunity for a motivated professional eager to leverage cutting-edge big data technologies and cloud platforms to deliver scalable data solutions., * Proven experience in data engineering roles with a strong background in big data systems such as Hadoop, Spark, or similar frameworks. * Extensive hands-on experience with cloud platforms including AWS, Azure Data Lake, or equivalent public cloud services for scalable storage and processing solutions. * Proficiency in SQL programming across various databases such as Microsoft SQL Server, Oracle, and cloud-based SQL databases; strong understanding of SQL query optimization techniques. * Solid knowledge of ETL pipeline development using tools like Informatica or Talend; familiarity with scripting languages including Python, VBA, Bash (Unix shell), or Shell Scripting for automation tasks. * Expertise in designing effective data models through dimensional modeling techniques for enterprise data warehouses. * Experience working with business intelligence tools such as Looker or similar platforms to create insightful dashboards and reports. * Familiarity with RESTful API development for integrating diverse systems; understanding of model training and analysis skills is a plus. * Ability to work effectively within an Agile environment while managing multiple priorities in fast-paced settings. ## Description * Develop, implement, and optimize ETL (Extract, Transform, Load) pipelines using tools like Informatica, Talend, or custom scripting in Python and Bash to ensure efficient data flow across systems. * Design and maintain scalable data models and data warehouses utilizing dimensional modeling principles to support business intelligence activities. * Manage large-scale big data systems leveraging Hadoop, Apache Hive, Spark, and cloud-based solutions such as Azure Data Lake and AWS to process vast datasets reliably. * Collaborate with cross-functional teams to integrate linked data sources and develop comprehensive data management strategies aligned with organizational goals. * Build and enhance business intelligence dashboards using Looker and other visualization tools to facilitate clear insights for stakeholders. * Ensure high-quality data management by implementing best practices in database design, query management, and data warehousing design across SQL databases like Microsoft SQL Server and Oracle. * Support software development efforts by creating RESTful APIs for seamless data access and integrating cloud databases into existing infrastructure. * Participate in Agile development cycles, contributing to continuous improvement of data engineering processes through iterative testing and deployment., Join our client's team as a Senior Data Engineer (Contract) where your technical prowess will drive impactful projects that shape the future of our organization's data landscape!