Senior Data Engineer (Cloud Data): Building and supporting reliable data pipelines and cloud data solutions for enterprise operations, analytics, and decision-making with an accent on data integration, modeling, quality, performance, and governance. Focus on designing maintainable ETL/ELT workflows, implementing validation and recovery controls, and tuning SQL and processing resources for performance and cost.
Location: Remote within the United States; the posting also lists Sunnyvale / South Bay, California
Salary: $115,000–$165,000 annually
Company
hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
What you will do
Develop and maintain data pipelines, transformations, reports, models, and platform components.
Translate source-to-target and business requirements into validated technical data solutions.
Implement data quality checks, access controls, monitoring, and failure-recovery procedures.
Tune SQL, processing jobs, models, dashboards, and platform resources for performance and cost.
Document data definitions, lineage, operational procedures, and technical decisions while collaborating with cross-functional teams.
Requirements
6+ years of experience in a related professional role, subject to the approved requisition threshold.
Professional experience in data engineering, analytics, data management, or a relevant platform area.
Practical experience with SQL, Python or Scala, ETL/ELT, data modeling, Spark or equivalent processing, orchestration, and cloud data platforms.
Strong SQL skills and experience with the data technologies identified for the position.
Understanding of data modeling, ETL/ELT, data validation, and integration patterns.
Experience with data quality, security, access controls, and production support.
Ability to translate business requirements into accurate and maintainable data solutions.
Strong analytical, documentation, and stakeholder communication skills.
Nice to have
Additional hands-on depth in the stated data engineering technologies.
Experience mentoring peers, reviewing technical work, and guiding delivery decisions.
Familiarity with secure development, accessibility, governance, or regulatory requirements where applicable.
Relevant professional certifications or advanced training in the technology area.
Culture & Benefits
Full-time remote work in a collaborative environment.
Professional growth opportunities.
Direct W2 employment; C2C and 1099 arrangements are not accepted.
Hiring process
Send a resume to Harry@bvteck.com or contact Harry at (908) 676-4399 for immediate consideration.
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