Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

KIS Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

KIS Solutions is a technology consulting company based in the United States and Brazil, specializing in delivering software systems that solve complex business problems. With a focus on improving human experiences through technology, KIS provides customized tech solutions for businesses of all sizes, from Fortune 500 companies to startups. They leverage data management, machine learning, and user-focused design to create effective and efficient systems that enhance productivity and business value.

📋 Description

• Design, build, and maintain end-to-end data pipelines, including batch and/or streaming workflows, from ingestion through transformation and delivery • Develop and operate reliable, scalable, and high-performing ETL/ELT workflows • Write efficient, production-grade SQL queries for data extraction, transformation, and analytics use cases • Implement and maintain data models, including star schemas and incremental models, optimized for analytics and reporting • Develop reusable, modular, and maintainable Python code for data transformations and pipeline logic • Monitor data pipelines, troubleshoot failures, and perform root cause analysis across code, orchestration tools, data sources, and cloud services • Ensure data quality through automated schema validation, freshness checks, and row-level assertions • Collaborate with analysts, backend engineers, and stakeholders to define data contracts and ensure reliable data availability • Participate in planning, estimation, and prioritization of data engineering tasks • Identify risks related to performance, scalability, and data integrity and propose mitigation strategies • Contribute to continuous improvement of data platforms, engineering processes, and team best practices • Write and maintain technical documentation for data pipelines, schemas, and data lineage • Communicate clearly with team members and clients, raising questions and concerns when requirements or priorities are unclear

🎯 Requirements

• Professional experience as a Data Engineer working with production-grade data pipelines • Strong experience with SQL, including query optimization, indexing, partitioning, and understanding performance trade-offs • Professional experience writing Python for data transformations, following good software design and modularization practices • Experience designing and implementing data models for analytics and reporting use cases • Experience building and operating data pipelines using cloud-based data platforms • Hands-on experience with GCP and BigQuery • Experience operating data pipelines, including error handling, monitoring, troubleshooting, and data quality processes • Knowledge of fundamental data security and governance practices, including access control, data masking, and PII handling • Ability to deliver less complex tasks independently and handle more complex challenges with appropriate guidance • Strong sense of ownership, responsibility, and accountability for data workflows and deliverables • Good organizational and time management skills, with the ability to estimate effort and meet delivery deadlines • Advanced English level for effective collaboration with global clients and distributed teams • Team-oriented mindset with strong communication, collaboration, and problem-solving skills

🏖️ Benefits

• 100% remote work