Data Engineer
Dallas, TX, United States
Title: ETL Developer / Data Engineer / Software Development Engineer of Big Data
6 month contract + extensions to hire
Location: Remote - EST Hours
Rate: 38-45HR
Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. The ideal candidate will be responsible for planning, coordinating, and implementing projects within the decided-upon budget, timeline, and scope. They will also effectively monitor and present project updates to relevant stakeholders, clients, or project team members.
As a Senior Software Development Engineer Big Data you will design, implement, and maintain robust, scalable data pipelines using GCP services like Dataflow, Pub/Sub, and BigQuery. The role involves leveraging cloud-native tools and technologies to develop and maintain data pipelines, ensuring data is processed efficiently and securely. The Senior Software Development Engineer Big Data will integrate data from various sources ensuring data quality, consistency, and security. This position will be responsible for writing BigQuery, creating and enhancing reporting in Tableau.
Required Qualifications
3+ years experience with development and optimizing Extract, Transform, Load (ETL) processes to handle large volumes of data
3+ years experience with big data technologies such as Apache Hadoop, Spark, Elastic Search, and Kafka in conjunction with GCP tools
3+ years experience with design and management of data storage solutions using BigQuery, Cloud Storage, and other GCP storage services
3+ years experience developing new reports and enhancing existing reports using Tableau and Power BI
Preferred Qualifications
3+ years experience with optimizing data processing and storage solutions for performance and cost-efficiency
Ability to work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver appropriate solutions
Maintaining comprehensive documentation of data architecture, processes, and compliance with data governance and security standards
Education
Bachelor’s degree or, equivalent experience (HS diploma + 4 years relevant experience)
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