EDZ Systems

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 4–10+ years of experience, focusing on building data pipelines and products. Contract length is unspecified, with a pay rate of "unknown." Key skills include SQL, AWS, Tableau, and Agile methodologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 22, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#SQL Queries #Data Analysis #Visualization #MySQL #Data Warehouse #"ETL (Extract #Transform #Load)" #Mathematics #Leadership #SQL (Structured Query Language) #Scala #Cloud #Data Pipeline #Data Engineering #Tableau #AWS (Amazon Web Services) #Databases #Data Integrity #Agile #DevOps #Compliance #Documentation #Quality Assurance #GitLab #Deployment #Data Quality #PostgreSQL #Datasets
Role description
Job Title: Data / Software Engineer Job Summary We are seeking a team-oriented Data / Software Engineer to join our technology services team supporting high-performance computing environments, research data warehousing, data curation services, and endpoint support. This role is ideal for a candidate with strong experience delivering end-to-end software solutions using Agile and DevOps methodologies, with a focus on building scalable, secure, and repeatable data products and pipelines. The successful candidate will work collaboratively to design, develop, and implement large-scale technology solutions that support organizational initiatives such as data analysis and visualization, payment systems, regulatory oversight, and public education. Key Responsibilities • Design, develop, and maintain scalable data pipelines and data products across multiple platforms. • Collect, cleanse, validate, and analyze large datasets for use in application databases and reporting systems. • Build and apply statistical models and data validation techniques to ensure data quality and accuracy. • Develop manual and automated processes for testing data inputs and outputs against compliance, governance, and business requirements. • Ensure data integrity through quality assurance practices and regular audits. • Perform reviews, investigations, and analysis of data activity; prepare reports and summaries of findings. • Identify and resolve data anomalies, gaps, and inconsistencies. • Create and maintain documentation for policies, standards, procedures, and technical processes. • Recommend improvements to data collection systems, workflows, and existing processes. • Support Extract, Load, and Transform (ELT) initiatives independently or within data warehouse teams. • Collaborate with internal stakeholders to deliver innovative technical solutions aligned with business goals. • Review technical and business requirements and translate them into effective solutions. • Mentor junior team members and serve as a technical resource when needed. Required Qualifications • 4–10+ years of relevant professional experience, depending on level. • Bachelor’s degree in STEM (Science, Technology, Engineering, Mathematics) or related field, or equivalent combination of education and experience. • Strong experience developing and optimizing complex SQL queries in relational databases such as PostgreSQL and MySQL. • Advanced experience designing, developing, and maintaining Tableau dashboards and reports. • Hands-on experience using AWS services to build and support data warehouse solutions following architecture best practices. • Experience with AWS cloud deployments and operational processes. • Proficiency using GitLab, including repository creation, branching, staging, committing, and pushing code changes. • Strong understanding of Agile and DevOps software delivery methodologies. • Ability to work independently with minimal supervision. • Strong communication, analytical, and problem-solving skills. Preferred Qualifications • Experience in high-performance computing (HPC) environments. • Knowledge of research data warehousing or curation services. • Experience supporting enterprise-scale analytics or regulatory systems. • Prior mentoring or technical leadership experience. Work Environment • This position offers opportunities for professional growth, training, and ongoing development while working on impactful, mission-driven technology solutions.